102 Professional Services jobs in University Park

Who You Are:

You have 3+ years of corporate trainer experience under your belt and are looking for your next challenge in a hyper-growth, fast-paced, industry disrupting, SaaS company. You are excited to work with emerging technologies and modern tech stack with a collaborative team, where you will have a direct impact on the customer experience.

Does this sound like you? If so, keep reading and apply today!

What You'll Do:

• Deliver high-quality onboarding and training sessions for clients and internal teams, both virtually and in-person, including ongoing education such as webinars and workshops.
• Translate client questions, challenges, and workflows into clear, actionable training content tailored to their needs.
• Provide expert guidance on industry-specific processes, LOS, PPE, and mortgage-related workflows.
• Collaborate with internal teams (product, support, and sales) to ensure training aligns with current platform capabilities and updates.
• Support a white-glove client experience that ensures adoption, satisfaction, and long-term retention.
• Occasionally travel to client sites for hands-on training and engagement sessions.
• Continuously refine training materials and sessions based on client feedback and evolving product features.

What You Have:

• Strong experience as a corporate or client trainer, ideally in SaaS or fintech.
• Deep domain expertise in mortgage, LOS, PPE, or closely related industry products.
• Exceptional communication skills, both written and verbal, with the ability to translate complex technical or industry concepts for diverse audiences.
• Experience designing and delivering client-focused, high-touch training programs.
• Strong analytical and problem-solving skills to adapt training to client-specific scenarios.

Extras you bring to the table:

• Passion for creating world-class onboarding and training experiences.
• Ability to gather and synthesize client feedback to improve training programs and materials.
• Comfort working in a fast-paced, agile environment with evolving priorities.
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Why Join Polly?

• High Bar of Talent: Polly consistently performs in the top quartile of start-up companies, and we consider the people of Polly the engine helping us achieve success. Many candidates choose Polly because of the collaborative, smart, and fun people that work here. We strive to hire the best to continue to raise that bar, and <5% of those that enter the interview process are presented with an offer.
• Disruptive Mission: Mortgage capital markets is historically an under-innovated space; Polly is committed to changing that. Our purpose-built platform has reimagined and reinvented the way that our lender customers operate. We are seeking passionate and driven builders who are not interested in accepting the status quo.
• Individual Impact & Growth: Every day, the Polly team doesn't just work-they contribute to our overarching mission. Individual impact is highly visible and everyone's voice matters. You will have exposure to every level of leadership, cross-functional teams, and impactful projects, giving you a unique opportunity to build and hone your skills.
• Hybrid Workplace with Innovation at the Core: Here at Polly, we believe in blending flexibility with in-person collaboration. With a hybrid model, our employees work on site three days a week (Tues./Wed./Thurs.) at our Innovation Hubs, located in Dallas-Fort Worth and San Francisco (remote available for this role, hybrid strongly preferred), driving forward-thinking solutions and fostering teamwork.

Employee Benefits:

• Competitive Compensation : Polly offers competitive salaries designed to reward your expertise and direct impact/contributions.
• Comprehensive Health Coverage : Employees enjoy 100% company-paid medical, vision, dental, disability, and life insurance, granting peace of mind.
• Flexible Vacation, Done Right : Take time off to recharge when you need it with Polly's flexible, non-accrued vacation policy-because we trust you to balance work and life.
• Hybrid Environment : Polly employees work on site three days a week (Tues./Wed./Thurs.) at our Innovation Hubs, located in Dallas-Fort Worth and San Francisco.

Let's get to know each other.

Polly has pioneered the next generation of mortgage capital markets technology with its cutting-edge, data-driven platform. Its enterprise-grade solutions, including the industry's only cloud-native, commercially scalable product, pricing, and eligibility (PPE) engine and first-of-its-kind Polly/™ AI platform, empower the nation's top banks, credit unions, and mortgage lenders to increase profitability, automate workflows, and revolutionize the loan officer and broker experiences. As a mortgage technology trailblazer, Polly is committed to driving meaningful value and ROI through best-in-class innovation that enables unlimited configurability, flexibility, granularity, and scalability. Polly was founded by a seasoned team of mortgage capital markets and technology experts and is headquartered in San Francisco, California. Recognized as a pioneer in mortgage capital markets, as well as in culture and career development, Polly was named to Forbes' America's Best Startup Employers in 2025. This evaluation was based on three key criteria: Employer Reputation, Employee Satisfaction, and Company Growth.

To learn more, follow Polly on LinkedIn or visit Polly is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, age, color, national origin, religion, sex, gender identity, sexual orientation, marital status, pregnancy status, disability status, veteran status, or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Beware of recruitment scams impersonating the Polly brand or our employees. Our team communicates only through official Polly channels, and we will never ask for sensitive information over text or conduct text-only interviews. If you are ever suspicious or in doubt, reach out to us directly at We care deeply about this network and your experience.

Description
Are you an experienced commercial or open-source database platform specialist? Do you like to solve the most complex and high scale data challenges and help organizations understand and use cloud computing web services to do big new things faster, at a lower cost? The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Database Delivery Consultant to help customers implement database transformations and realize business opportunities. You will collaborate with our customers and partners on key engagements and will develop and deliver proof-of- concept projects, technical workshops, and support implementation projects in order to migrate customer environments to AWS cloud based database platforms. Our professional services engagements will focus on customer solutions such as high volume mission critical OLTP/OLAP environments, batch data processing, designing and deploying future state petabyte-scale data warehouse service and building and/or designing reference configurations to enable our customers and influence AWS RDS, Aurora, DynamoDB and Redshift adoption. The databases team provides direct to customer, back office and packaged delivery consulting services to customers remotely from a centralized location. Our consultants are builders and deliver projects, technical workshops, and lead implementation projects with customers around the globe. These professional services engagements focus on customer solutions such as, web applications, enterprise applications, high performance computing, batch processing, big data, archiving, disaster recovery, migration, security risk and compliance.
Key job responsibilities
As an experienced technology professional, you will be responsible for:
1.Employ customer facing skills to represent AWS well within the customer's environment and drive discussions with senior personnel regarding trade-offs, standard methodologies, project management and risk mitigation.
2.Work closely with AWS Platform Service Engineering and Architecture teams to help ensure the success of project consulting engagements with customer.
3.Work directly with customers' technical resources to devise and recommend solutions based on the understood requirements.
4.Think strategically about business, product, and technical challenges in an enterprise environment
5.Analyze on-premises database environments such as Oracle, SQL Server, or other Commercial DB Engines to Open-Source Engines like Aurora PostgreSQL/MySQL or RedShift, DynamoDB.
6.Work with customers to migrate their database environments to AWS. This may include but is not limited to Re-Host database platform on AWS, Upgrade/Optimize for AWS, Re-Factor to open-source database platform on AWS.
7.Consult for optimal design of database environments, analyzing complex distributed production deployments, and making recommendations to optimize performance.
8.Develop innovative solutions to complex business and technology problems. This is a customer-facing role with potential travel to customer sites as needed.
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- Bachelor's degree in computer science, Engineering, or related field, or equivalent practical experience
- 3+ years of experience in cloud architecture and implementation
- 3+ years of hands-on experience implementing AWS services (EC2, ELB, RDS, Route53 & S3) in distributed computing environments
- 3+ years of hands-on experience administering at least one commercial relational database (Oracle, SQL Server, or IBM Db2) OR open-source database (MySQL, PostgreSQL, MariaDB)
- 2+ years of hands-on experience implementing non-relational databases such as MongoDB, CouchDB, or Redis
Preferred Qualifications
- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
- Experience with automation and scripting (e.g., Terraform, Python)
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Description
Are you an experienced commercial or open-source database platform specialist? Do you like to solve the most complex and high scale data challenges and help organizations understand and use cloud computing web services to do big new things faster, at a lower cost? The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Database Delivery Consultant to help customers implement database transformations and realize business opportunities. You will collaborate with our customers and partners on key engagements and will develop and deliver proof-of- concept projects, technical workshops, and support implementation projects in order to migrate customer environments to AWS cloud based database platforms. Our professional services engagements will focus on customer solutions such as high volume mission critical OLTP/OLAP environments, batch data processing, designing and deploying future state petabyte-scale data warehouse service and building and/or designing reference configurations to enable our customers and influence AWS RDS, Aurora, DynamoDB and Redshift adoption. The databases team provides direct to customer, back office and packaged delivery consulting services to customers remotely from a centralized location. Our consultants are builders and deliver projects, technical workshops, and lead implementation projects with customers around the globe. These professional services engagements focus on customer solutions such as, web applications, enterprise applications, high performance computing, batch processing, big data, archiving, disaster recovery, migration, security risk and compliance.
Key job responsibilities
As an experienced technology professional, you will be responsible for:
1.Employ customer facing skills to represent AWS well within the customer's environment and drive discussions with senior personnel regarding trade-offs, standard methodologies, project management and risk mitigation.
2.Work closely with AWS Platform Service Engineering and Architecture teams to help ensure the success of project consulting engagements with customer.
3.Work directly with customers' technical resources to devise and recommend solutions based on the understood requirements.
4.Think strategically about business, product, and technical challenges in an enterprise environment
5.Analyze on-premises database environments such as Oracle, SQL Server, or other Commercial DB Engines to Open-Source Engines like Aurora PostgreSQL/MySQL or RedShift, DynamoDB.
6.Work with customers to migrate their database environments to AWS. This may include but is not limited to Re-Host database platform on AWS, Upgrade/Optimize for AWS, Re-Factor to open-source database platform on AWS.
7.Consult for optimal design of database environments, analyzing complex distributed production deployments, and making recommendations to optimize performance.
8.Develop innovative solutions to complex business and technology problems. This is a customer-facing role with potential travel to customer sites as needed.
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- Bachelor's degree in computer science, Engineering, or related field, or equivalent practical experience
- 3+ years of hands-on experience implementing AWS services (EC2, ELB, RDS, Route53 & S3) in distributed computing environments
- 3+ years of hands-on experience administering at least one commercial relational database (Oracle, SQL Server, or IBM Db2) OR open-source database (MySQL, PostgreSQL, MariaDB)
- 2+ years of hands-on experience implementing non-relational databases such as MongoDB, CouchDB, or Redis
Preferred Qualifications
- - AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- - AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
- - Experience with automation and scripting (e.g., Terraform, Python)
- - Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
- - Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

**About the Role:**
**Grade Level (for internal use):**
12
**The Team:** Professional Services team for Regulatory and Compliance is a global team of knowledgeable and enthusiastic consultants with a wide range of skills and capabilities. We manage, execute, deliver or support both the initial and add-on implementations of CLM Pro, Onboarding Accelerator, and KYC. We use our extensive project experience to help establish our customers and what their target operating model is and define suitable solution workflows to support it. This allows us to add value at every step of the organizational transformation. We look at the business processes the solution supports; considering areas of focus related to system performance or new business requirements; and doing health checks of the system configuration.
Every year, this allows us to deliver hundreds of successful client engagements spanning multiple segments and industry verticals.
**Responsibilities and Impact:** Support business growth and increase client productivity and efficiency through effective use of Counterparty Manager products.
The role offers exposure across business functions including commercial, operations, product development, and sales. You will have the opportunity to partner with other colleagues across Enterprise Solutions, including Support, Product and Technology to ensure optimal implementation and project outcomes for our client base with a focus on continuous improvement.
The candidate will be responsible for the following:
+ Become highly skilled in the Counterparty Manager suite of solutions such as Request for Amendment, Onboarding Accelerator, CLM Pro and KYC.
+ Providing support to Practice Lead in sales pipeline/opportunity management
+ Primarily responsible for designing solutions to meet Customer needs (during the sales process to delivery stages)
+ Communicating with clients on a regular basis throughout the implementation project lifecycle.
+ Providing support to clients throughout their implementation project lifecycle
+ Providing support to the Senior Consultant across multiple Implementation projects, using best practice for effective for Onboarding Accelerator, CLM Pro and KYC.
+ Delivering on identified requirements.
+ Providing support to Project Management team.
+ Maintaining good client relationships and building credibility.
**Compensation/Benefits Information (US Applicants Only):**
S&P Global states that the anticipated base salary range for this position is $124,951 - $155,000. Base salary ranges may vary by geographic location.
In addition to base compensation, this role is eligible for an incentive plan.
This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, visit We're Looking For:** The candidate should have the following qualities and competencies:
+ Experience in client servicing
+ Detail-oriented and a thorough problem-solver
+ Organized and diligent with excellent time management
+ Strong analytical and interpersonal skills
+ Flexible and able to adapt to changing situations
+ Excellent client service ethos and be able to communicate effectively
+ Comfortable working in team environments and interacting with stakeholders at all levels of our business
+ Demonstrate initiative
+ Some background knowledge on financial markets and/institutions
**This role is limited to persons with indefinite right to work in the United States.**
**Flexible Working**
We pride ourselves on our agility and diversity, and we welcome requests to work flexibly. For most roles, flexible hours and/or an element of remote working are usually possible. Please talk to us at interview about the type of arrangement that is best for you. We will always try to be adaptable wherever we can.
**Return to Work**
Have you taken time out for caring responsibilities and are now looking to return to work? As part of our Return-to-Work initiative, we are encouraging enthusiastic and talented returners to apply and will actively support your return to the workplace.
**About S&P Global Market Intelligence**
At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction.
For more information, visit .
**What's In It For** **You?**
**Our Purpose:**
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
**Our People:**
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
**Our Values:**
**Integrity, Discovery, Partnership**
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of **integrity** in all we do, bring a spirit of **discovery** to our work, and collaborate in close **partnership** with each other and our customers to achieve shared goals.
**Benefits:**
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
+ Health & Wellness: Health care coverage designed for the mind and body.
+ Flexible Downtime: Generous time off helps keep you energized for your time on.
+ Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
+ Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
+ Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
+ Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:**
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
**Recruitment Fraud Alert:**
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here ( .
---
**Equal Opportunity Employer**
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to:   and your request will be forwarded to the appropriate person. 
**US Candidates Only:** The EEO is the Law Poster   describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - - Professional (EEO-2 Job Categories-United States of America), BSMGMT202.2 - Middle Professional Tier II (EEO Job Group)
**Job ID:**
**Posted On:**
**Location:** New York, New York, United States

Description
Employer: Amazon Web Services, Inc.
Position: Professional Services II
Location: Dallas, TX
Multiple Positions Available:
Provide guidance to senior marketing leaders via business reviews and frequent in-person client presentations to regularly iterate on and articulate a brands strategy. Work with sales, product, retail and other Amazon business partners to analyze and improve advertiser performance on Amazon, in support of their marketing initiatives. Analyze data and translate it into high-quality and actionable insights and recommendations to improve the effectiveness of advertiser campaigns and develop new business opportunities. Influence marketing initiatives and own account-level data and/or analytics-related strategic conversations internally and externally. Regularly deliver tailored analyses and insights for some of the world's largest advertisers to drive growth across advertiser KPIs. Educate other teams on Amazon media offerings by delivering learning sessions and writing training documentation and whitepapers for internal and external use. Evangelize data-driven decision making. Present findings and insights in a consultative way to stakeholders and collaborate with relevant internal teams to provide complete customer solutions.
Basic Qualifications
Master's degree or foreign equivalent degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field and one year of experience in the job offered or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field and five years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. Must have one year of experience in the following skill(s): (1) knowledge of SQL; (2) experience translating technical aspects of analysis and metrics into actionable insights; (3) applying understanding of basic statistical techniques and methodologies; and (4) applying understanding of distributions, expectations, hypothesis testing, and A/B Testing.
Preferred Qualifications
All applicants must meet all the above listed requirements.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Description
Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intelligence (AI) systems? Want to help the largest global enterprises derive business value through the adoption and automation of Generative AI (GenAI)? Excited by using massive amounts of disparate data to develop AI/ML models? Eager to learn to apply AI/ML to a diverse array of enterprise use? Thrilled to be a key part of Amazon, who has been investing in Machine Learning for decades - pioneering and shaping the world's AI technology?
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled ML Engineer to join our team as a Delivery Consultant at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS AI/ML and GenAI solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the ML project lifecycle.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure AI/ML and GenAI solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
Key job responsibilities
Key job responsibilities
As an experienced technology professional, you will be responsible for:
1. Implementing end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment and monitoring.
2. Designing and implementing machine learning pipelines that support high-performance, reliable, scalable, and secure ML workloads.
3. Designing scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions when applicable.
4. Collaborating with cross-functional teams (Applied Science, DevOps, Data Engineering, Cloud Infrastructure, Applications) to prepare, analyze, and operationalize data and AI/ML models.
5. Serving as a trusted advisor to customers on AI/ML and GenAI solutions and cloud architectures
6. Sharing knowledge and best practices within the organization through mentoring, training, publication, and creating reusable artifacts.
7. Ensuring solutions meet industry standards and supporting customers in advancing their AI/ML, GenAI, and cloud adoption strategies.
This is a customer-facing role with potential travel to customer sites as needed.
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- 3+ years cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 5+ years data, software, or ML engineering, with strong understanding of distributed computing. (e.g., data pipelines, training and inference, ML infrastructure design)
- 3+ years developing predictive modeling, natural language processing, and deep learning, with a proven track record of building and deploying ML models on cloud. (e.g., Amazon SageMaker or similar)
- 3+ years developing with SQL, Python, and at least one additional programming language (e.g., Java, Scala, JavaScript, TypeScript). Proficient with leading ML libraries and frameworks (e.g., TensorFlow, PyTorch)
Preferred Qualifications
- AWS experience preferred, with proficiency in a range of AWS services (e.g., SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch, Step Functions, VPC, CloudFormation)
- AWS Professional certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional)
- Experience with automation (e.g., Terraform, Python), Infrastructure as Code (e.g., CloudFormation, CDK), and Containers & CI/CD Pipelines.
- Knowledge of common security and compliance standards (e.g., HIPAA, GDPR)
- Strong communication skills with ability to explain complex concepts to technical and non-technical audiences
- Experience building ML pipelines with MLOps best practices, including: data preprocessing, model hosting, feature selection, hyperparameter tuning, distributed & GPU training, deployment, monitoring, and retraining
- Experience with MLOps (e.g., MLFlow, Kubeflow) and orchestration (e.g., Airflow, AWS Step Functions). Experience building applications using GenAI technologies (LLMs, Vector Stores, LangChain, Prompt Engineering)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Description
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer
success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. You will lead customer-focused project teams as a technical leader and perform hands-on development of Data & Analytics solutions with exceptional quality.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
Key job responsibilities
As an experienced technology professional, you will be responsible for:
- Leading project teams, designing and implementing end-to-end large-scale, complex, scalable, and secure Data Analytics AWS solutions tailored to customer needs
- Providing technical guidance and troubleshooting support throughout project delivery
- Collaborating with stakeholders to gather requirements and propose effective Data & Analytics migration and modernization strategies
- Acting as a trusted advisor to customers on industry trends and emerging technologies, ensuring compliance with industry standards and governance while aligning data solutions with business strategies.
- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to
never stop embracing our uniqueness.
Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- 5+ years of experience in cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 8+ years of experience leading technical teams and hands-on experience focused on data or software engineering, with a strong understanding of distributed data processing.
- 8+ years of experience designing and building scalable, highly available data solutions, including ETL/ELT pipelines, data quality, and monitoring processes.
- 5+ years of experience and proficiency in SQL, Python, and at least one additional programming language (e.g., Java, Scala, etc).
Preferred Qualifications
- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
- Experience with automation and scripting (e.g., Terraform, Python)
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences with the ability to lead technical teams in customer projects
- Strong experience with distributed frameworks (e.g. Spark, Hadoop, Kafka, Presto, Flink, S3, HDFS, DBs) and a solid understanding of JVM or similar runtime. Experience designing and building data governance and data protection mechanisms
- Experience building applications using Generative AI tools and technologies (LLMs, Vector Stores, Orchestrators such as LangChain, Prompt Engineering)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200/year in our lowest geographic market up to $239,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Description
Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intelligence (AI) systems? Want to help the largest global enterprises derive business value through the adoption and automation of Generative AI (GenAI)? Excited by using massive amounts of disparate data to develop AI/ML models? Eager to learn to apply AI/ML to a diverse array of enterprise use? Thrilled to be a key part of Amazon, who has been investing in Machine Learning for decades - pioneering and shaping the world's AI technology?
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled ML Engineer to join our team as a Delivery Consultant at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS AI/ML and GenAI solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the ML project lifecycle.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure AI/ML and GenAI solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
Key job responsibilities
Key job responsibilities
As an experienced technology professional, you will be responsible for:
1. Implementing end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment and monitoring.
2. Designing and implementing machine learning pipelines that support high-performance, reliable, scalable, and secure ML workloads.
3. Designing scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions when applicable.
4. Collaborating with cross-functional teams (Applied Science, DevOps, Data Engineering, Cloud Infrastructure, Applications) to prepare, analyze, and operationalize data and AI/ML models.
5. Serving as a trusted advisor to customers on AI/ML and GenAI solutions and cloud architectures
6. Sharing knowledge and best practices within the organization through mentoring, training, publication, and creating reusable artifacts.
7. Ensuring solutions meet industry standards and supporting customers in advancing their AI/ML, GenAI, and cloud adoption strategies.
This is a customer-facing role with potential travel to customer sites as needed.
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- 3+ years cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 5+ years data, software, or ML engineering, with strong understanding of distributed computing. (e.g., data pipelines, training and inference, ML infrastructure design)
- 3+ years developing predictive modeling, natural language processing, and deep learning, with a proven track record of building and deploying ML models on cloud. (e.g., Amazon SageMaker or similar)
- 3+ years developing with SQL, Python, and at least one additional programming language (e.g., Java, Scala, JavaScript, TypeScript). Proficient with leading ML libraries and frameworks (e.g., TensorFlow, PyTorch)
Preferred Qualifications
- AWS experience preferred, with proficiency in a range of AWS services (e.g., SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch, Step Functions, VPC, CloudFormation)
- AWS Professional certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional)
- Experience with automation (e.g., Terraform, Python), Infrastructure as Code (e.g., CloudFormation, CDK), and Containers & CI/CD Pipelines.
- Knowledge of common security and compliance standards (e.g., HIPAA, GDPR)
- Strong communication skills with ability to explain complex concepts to technical and non-technical audiences
- Experience building ML pipelines with MLOps best practices, including: data preprocessing, model hosting, feature selection, hyperparameter tuning, distributed & GPU training, deployment, monitoring, and retraining
- Experience with MLOps (e.g., MLFlow, Kubeflow) and orchestration (e.g., Airflow, AWS Step Functions). Experience building applications using GenAI technologies (LLMs, Vector Stores, LangChain, Prompt Engineering)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.