12,538 Senior AI Engineer jobs in the United States

What if the work you did every day could impact the lives of people you know? Or all of humanity?

At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients.

Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible.

Our team develops Next Generation Sequencing (NGS) solutions used by researchers and clinicians worldwide, providing sample-to-answer pipelines with high reliability, speed, and accuracy of results. We develop machine learning solutions across Illumina's portfolio, from sequencing functions to analysis and interpretation algorithms. DRAGEN, our secondary analysis platform, has industry leading performance and is used for clinical and research work. Advanced AI applications drive transformational genetic insights that improve understanding of human biology, cancer and rare disease.

We are seeking an ML Algorithms expert to join our team. This role will develop and implement ML systems across Illumina's products, including DRAGEN, the Constellation technology, and sequencing systems like high-throughput Novaseq X. You will collaborate with cross-functional teams (algorithms, software, bioinformatics, optics and imaging, test) to develop and implement machine learning algorithms operating on a variety of data types (images, sequencing output, population data, DNA, RNA, multi-omics, etc). The ideal candidate is a strong problem-solver with a proven track record of getting things done-someone who takes ownership, works efficiently, and consistently delivers high-quality work.

If you have product programming experience and a passion for machine learning, this is a great opportunity to join an exciting team at a leading biotech company.

Responsibilities:

• You will design and develop machine learning algorithms for a variety of bioinformatic problems and data types, and ensure algorithm performance meets product requirements.
• Debug and troubleshoot machine learning models - understand model performance on corner cases and improve model performance.
• You will collaborate with cross-functional teams, including AI/ML researchers, software engineers, bioinformatics domain experts, hardware engineering etc., to implement, optimize and test machine learning models.
• Create and maintain high quality Python code, documentation, unit tests, complying with software and product development best practice.
• Design, develop, test, deploy, maintain machine learning software solutions (on sequencer, on DRAGEN servers, in the cloud)

Listed responsibilities are an essential, but not exhaustive list, of the usual duties associated with the position. Changes to individual responsibilities may occur due to business needs.

Requirements:

• Master's or Ph.D. in Machine learning, Computer Science or a related technical field, or equivalent experience
• 1+ years of relevant experience in product development focusing on ML systems or high-performance signal processing systems, ideally in Python or C++
• Solid knowledge and experience in machine learning algorithms, deep learning, data structures, and high-performance computing
• Solid knowledge and experience with ML frameworks (Tensorflow, keras, Pytorch, xgboost, sklearn)
• Experience in debugging ML models and explainable ML frameworks
• Solid Python coding skills - demonstrated track of python coding with unit testing, documentation, code reviews, version control
• Self-starter, strong problem-solving skills, ability to push forward project objectives both through individual effort and team collaboration

All listed requirements are deemed as essential functions to this position; however, business conditions may require reasonable accommodations for additional task and responsibilities

Additional Nice-to-Haves:

• Bioinformatics, applied math background and/or experience
• Linear algebra and statistics applied to images, tabular data, unstructured multimodal data
• NGS knowledge - familiarity with bioinformatics workflows including primary and/or secondary analysis pipelines
• Solid C++ programing skills
• Strong Linux/Unix fundamentals

Degree and Job Experience Requirements:

• The candidate could have a degree from any of the following fields: Machine learning, Artificial Intelligence, Computer Science, Software Engineering, Applied Math, Bioinformatics, Biology, Physics, related topics
• Master's, or Ph.D.
• Job experience: Ideally the candidate should have 1+ years of experiences in product development with a track record of product shipping

Location:

• San Diego, California
• Priority will be given to candidates located in San Diego.

#LI-HYBRID

The estimated base salary range for the Sr. Deep Learning/AI Engineer - Machine Learning (Hybrid or Remote) role based in the United States of America is: $138,800 - $208,200. Should the level or location of the role change during the hiring process, the applicable base pay range may be updated accordingly. Compensation decisions are dependent on several factors including, but not limited to, an individual's qualifications, location where the role is to be performed, internal equity, and alignment with market data. Additionally, all employees are eligible for one of our variable cash programs (bonus or commission) and eligible roles may receive equity as part of the compensation package. We offer a wide range of benefits as innovative as our work, including access to genomics sequencing, family planning, health/dental/vision, retirement benefits, and paid time off.

We are a company deeply rooted in belonging, promoting an inclusive environment where employees feel valued and empowered to contribute to our mission. Built on a strong foundation, Illumina has always prioritized openness, collaboration, and seeking alternative perspectives to propel innovation in genomics. We are proud to confirm a zero-net gap in pay, regardless of gender, ethnicity, or race. We also have several Employee Resource Groups (ERG) that deliver career development experiences, increase cultural awareness, and offer opportunities to engage in social responsibility. We are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information. Illumina conducts background checks on applicants for whom a conditional offer of employment has been made. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable local, state, and federal laws. Background check results may potentially result in the withdrawal of a conditional offer of employment. The background check process and any decisions made as a result shall be made in accordance with all applicable local, state, and federal laws. Illumina prohibits the use of generative artificial intelligence (AI) in the application and interview process. If you require accommodation to complete the application or interview process, please contact To learn more, visit: The position will be posted until a final candidate is selected or the requisition has a sufficient number of qualified applicants. This role is not eligible for visa sponsorship.

VW. Two letters. Endless opportunities. A bright future.

Innovation. Sophistication. Optimization. This is our Passion.

Worldwide, the Volkswagen Group has a long tradition of dramatic innovations. The Volkswagen Group with its headquarters in Wolfsburg is one of the world's leading automobile manufacturers and the largest carmaker in Europe. The Group comprises twelve brands from seven European countries: Volkswagen Passenger Cars, Audi, SEAT, ŠKODA, Bentley, Bugatti, Lamborghini, Porsche, Ducati, Volkswagen Commercial Vehicles, Scania and MAN. Here in the US, we are blending German engineering with American ingenuity.

At the Innovation & Engineering Center California (IECC), we represent the Volkswagen Group in applied research and development. Located in the heart of Silicon Valley, we create bold new ideas for the Volkswagen, Audi, Bentley, Lamborghini, Bugatti and Porsche brands. We're a team of engineers, designers, scientists, and psychologists looking to develop innovations for future generations of cars, and to transfer technologies from many industries and research institutions into the automotive domain. Our mission is to drive change which means we are not only impacting one of the world's largest car makers, but also the lives of millions of people. Are you ready to join us?

Senior AI Engineer (Hybrid role requires 3 days/week onsite)

We are unable to consider OPT/CPT candidates at this time.

Role Summary

This role will be tasked with applying machine learning/deep learning to the automotive industry. Applications could include autonomous driving, manufacturing, design etc. This is more than a purely academic role - you will likely need to integrate the modules you build into real cars and also think about questions around testability and proving safety. Working in our facility requires a high level of independence and an ability to deal with lots of ambiguity. The incumbent will not be given clear cut projects - instead this individual and subsequent team will be responsible for coming up with the "next big thing" that nobody has thought of as yet, building it and selling it.

To be considered, Candidates MUST have extensive experience in the following: Computer Vision, Deep Learning, forecasting, transformers, CNNs. You must also possess strong experience building data models.

Role Responsibilities

Machine Learning Development

• Maintains, as well as furthers, enhances existing machine learning modules for autonomous vehicles.

• Designs and implements new machine learning based approaches based on existing frameworks.

• Keeps up to speed with the state of the art of academic research and technology in the industry.

• Coordinates with engineers at the ICC and in Germany on the development of autonomous driving software.

• Transfers technologies and solutions to Volkswagen Group development divisions.

Process Documentation and Representation

• Develops technical specifications and documentation.

• Represents Volkswagen Group in the technical community, such as at conferences.

Qualifications

• 6 - 8 years of professional experience post graduate degree PREFERRED

• 4+ years' Deep Learning experience post graduate degree PREFERRED

Education Requirements:

• Master's Degree in Computer Science or equivalent.

Education Desired

• PhD Strongly Preferred.

Skills

• Strong knowledge of different machine learning algorithms.

Required Skills:

Deep Learning :

Proficiency in deep learning techniques and frameworks

Machine Learning :

Strong understanding of traditional machine learning algorithms and their applications.

Computer Vision :

Expertise in computer vision, including object detection, image segmentation, and image recognition

Natural Language Processing (NLP) :

Proficiency in NLP techniques, including sentiment analysis, text generation, and language understanding models. Experience with multimodal language modeling and applications.

Neural Network Architectures:

Deep understanding of various neural network architectures such as CNNs, RNNs, and Transformers .

Reinforcement Learning:

Familiarity with reinforcement learning algorithms and their applications in AI.

Data Preprocessing:

Skills in data cleaning, feature engineering, and data augmentation.

Model Training and Tuning:

Experience in training, fine-tuning, and optimizing AI models.

Model Deployment:

Knowledge of model deployment techniques, including containerization (Docker) and orchestration (Kubernetes).

Documentation:

Strong documentation skills for model architecture, code, and processes.

Desired Skills:

AI Ethics:

Awareness of ethical considerations in AI, including bias mitigation and fairness.

Legal and Regulatory Knowledge:

Understanding of AI-related legal and regulatory considerations, including data privacy and intellectual

property.

Data Management:

Proficiency in data storage and management systems, including databases and data lakes.

Cloud Computing:

Familiarity with cloud platforms like AWS, Azure, or GCP, and their AI services.

Work Flexibility

• Travel is estimated to be 5-10%, as needed within U.S. and overseas.

In the Silicon Valley, the salary range for this role will be $170,000 - $210,000, depending on education and years of relevant experience. Salary is determined by geographical location and adjusted accordingly. Other benefits for this position include:

• Eligibility for annual performance bonus

• Healthcare benefits

• 401(k), with company match

• Defined contribution retirement program.

• Tuition reimbursement

• Company lease car program

• Paid time off

Volkswagen's roots in Silicon Valley sprout the tech-driven future of transportation

Volkswagen Group of America is an Equal Opportunity Employer. We welcome and encourage applicants from all backgrounds, and do not discriminate based on race, sex, age, disability, sexual orientation, national origin, religion, color, gender identity/expression, marital status, veteran status, or any other characteristics protected by applicable laws.

#LI-CK1

#LI-Hybrid

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works.
This role will be based in Sunnyvale, San Francisco, Bellevue or New York City.
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
LinkedIn's Machine Learning Engineers are both data/research scientists and software engineers, who develop and implement machine learning models and algorithms. Unlike other companies that separate these roles, our engineers work on projects from ideation to implementation.
Responsibilities:
- Building and deploying relevance models that power our various recommender systems and personalized intent engines
- Keeping scalability and performance in mind through your design and engineering choices.
- You will explore novel approaches for machine learning ranking and modeling downstream impact, as well as new ways of creating new product features by leveraging the cutting edge machine learning techniques in Generative AI, NLP.
- You will work with big data and analyze tracking data to understand member preferences and identify opportunities for taking the products you work on to the next level.
- You will work directly with partner data science, product, and infrastructure teams to take your ideas from conception to production.
Basic Qualifications:
- Bachelor's degree in Computer Science or related technical field or equivalent technical experience
- 1+ years experience with machine learning, data mining, and information retrieval or natural language processing
- 1+ year of industry experience in software design, development, and algorithm related solutions.
- 1+ years experience in programming languages such as Java, Python, etc.
Preferred Qualifications: 
● 1+ years of relevant work experience
● MS or PhD in Computer Science or related technical discipline
● Experience developing large scale systems
● Knowledge of recommendation systems
● Ability to diagnose technical problems, debug code, and automate routine tasks
● Analytical approach coupled with solid communication skills and a sense of ownership
Suggested Skills:
- Data Mining
- Data Coding
- Machine Learning
You will Benefit from our Culture:
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $114,000 - $189,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit Opportunity Statement
We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants:

AI Engineer
Date: Aug 18, 2025
Req ID:
Location:
Tremont, IL, US
Brand: PTx
Workplace Type: Onsite
Precision Planting is a subsidiary of AGCO Corporation and a leading provider of planting, spraying, and harvesting technology in the Precision Ag Industry. We design innovative products that revolutionize farming and food production by solving challenging problems fundamental to agriculture.
We are seeking a highly motivated AI Engineer to join our digital‑agriculture team and build next‑generation farmer‑facing tools that harness artificial intelligence to deliver actionable insights for growers. You will pair solid data‑science fundamentals with cutting‑edge work on large‑language models (LLMs) to give growers a deeper understanding of both equipment performance and agronomic outcomes. Your work will advance predictive maintenance, anomaly detection, and natural‑language insight generation, transforming how customers interact with and benefit from our products.
**What** **will you** **be doing?**
+ Develop and advance cloud-based machine learning models and algorithms and deploy them into web and mobile digital ag applications.
+ Build and maintain scalable data pipelines on AWS to collect, prepare, and serve datasets for model and algorithm development.
+ Prototype and ship LLM‑powered features (RAG, natural‑language diagnostics, contextual help) that translate complex telemetry into clear, grower‑friendly insight.
+ Own projects end to end: curate data, design features, evaluate models, deploy services, monitor performance, and iterate from customer feedback.
+ Collaborate with data scientists, data engineers, computer‑vision engineers, and cloud and mobile software developers to create, refine, and deploy LLM and computer‑vision AI features.
**Required Skills/Experience**
+ Bachelor's degree in Computer Science, Computer Engineering, Statistics, Data Science, Mathematics, or equivalent experience in applied machine learning
+ **2+ years** professional experience in data science, ML engineering, or cloud-data and ML infrastructure
+ Strong grasp of statistics, probability, and time‑series analysis.
+ Hands‑on experience building and operating cloud infrastructure preferably in AWS (Terraform, CDK, CloudFormation, Lambda, SageMaker, ECS)
+ Self-driven with the organizational and communication skills required to work autonomously, deliver full solutions, mentor teammates, and foster a supportive team environment.
+ Familiarity with collaborative development workflow and version control systems (ie., Git)
**Desired Skills/Experience**
+ MS Degree in Computer Science, Computer Engineering, Statistics, Data Science, Mathematics, or equivalent experience in applied machine learning data science
+ Shipped production ML project, preferably in predictive maintenance, anomaly detection, or performance analytics.
+ Experience fine‑tuning or prompt‑engineering LLMs (OpenAI, Hugging Face, etc.).
+ Familiarity with vector databases (FAISS, Pinecone, pgvector), embeddings, and retrieval‑augmented generation.
+ Edge‑AI or embedded Linux deployment experience.
+ Experience applying machine learning techniques to computer vision applications
**Why Join Us?**
You will be joining a tight-knit team that is passionate about solving real problems growers face. You will develop models and algorithms that run on millions of acres and increase the value growers receive from our products. You will be able to experience the impact of your work firsthand through direct feedback from the customers we serve while enjoying the freedom to innovate without bureaucracy.
**Your Compensation**
This position will be within the range of $65,000 - $130,000, based on experience. This position is eligible for a bonus based on  8% of compensation.
**Your Benefits**
+ Health care and wellness plans
+ Dental and vision plans
+ Flexible and virtual work options (where available)
+ 401(k) Savings Plan with company match
+ Employee Stock Purchase Plan offering eligible employees the ability to purchase AGCO stock at a discounted price
+ Paid holidays and paid time off
+ Health savings and flexible spending accounts
+ Reimbursement for continuing education
+ Life insurance and other supplemental insurance plans
**Your Workplace**
You will work in onsite/hybrid model with your wonderful AGCO colleagues at Tremont, IL
We value inclusion and recognize the innovation a diverse workforce delivers to our farmers. Through our recruitment efforts, we are committed to building a team that includes a variety of experiences, backgrounds, cultures, and perspectives.
**Join our extraordinary team today and apply now!**
AGCO is proud to be an Equal Opportunity Employer. We maintain a drug-free workplace and perform pre-employment substance abuse testing.
**Solutions for Every Season**
We engineer and deliver precision ag hardware, software, and cloud based platforms that connect every corner of the farm.
**Job Segment:** Cloud, Embedded, Computer Science, Testing, Linux, Technology

Job Description
An employer in the Irvine area is seeking an AI Engineer to join their team. The role is primarily remote, but candidates must reside in California and be available for quarterly onsite meetings in Irvine. The engineer will work in an Agile environment, developing AI agents to enhance productivity across the organization. This role requires strong experience in AI agent development, including hands-on implementation of Copilot using Visual Studio, and experience with AI Foundry for building and managing AI applications. Candidates should have solid SQL skills, particularly with PostgreSQL, and prior experience in the healthcare industry. Familiarity with GitHub Queue Pilot is a big plus, and experience with Azure cloud services is preferred.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: and Requirements
Strong experience in AI Agent development
Healthcare experience
Experience with Copilot in Visual Studio and AI Foundry
Strong SQL experience, particularly with PostgreSQL
Experience working in an Agile environment
Azure cloud experience is a plus
Familiarity with GitHub Queue Pilot is a big plus null
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to

**About the team:**  
At the Capco Technology Delivery Center, we are dedicated to the financial services industries. Our professionals combine innovative thinking with unrivalled industry and domain expertise to offer our clients consulting expertise, complex technology and package integration, transformation delivery, and managed services, to move their organizations forward. Through our collaborative and efficient approach, we help our clients successfully innovate, increase revenue, manage risk and regulatory change, reduce costs, and enhance controls. Our teams stay at the forefront of industry trends and technologies that are driving innovation. From strategy to launch, we are adept at delivering across the full product lifecycle.  
**About the Job:**  
As a member of the Capco Technology Delivery Team, you'll bring practical knowledge of agile development methodologies and engineering best practices. As an AI Engineer, you'll play an integral role using your experience and skills to contribute to the quality and implementation of our projects. 
We are seeking a highly skilled and experienced Senior GenAI Engineer who will be instrumental in designing, developing, and deploying modern generative AI solutions, leveraging expertise in foundation models, agentic AI systems, and full-stack application development. You will work across the entire AI lifecycle, from research and prototyping to production deployment and monitoring, contributing to high-impact transformative projects.
**What** **You'll** **Get to Do:** ** **
+ Design, develop, and fine-tune applications built around foundation models (e.g., LLMs, multimodal models) for specific business needs
+ Implement and experiment with generative AI techniques, including but not limited to Retrieval-Augmented Generation (RAG) and prompt engineering
+ Lead the implementation of intelligent autonomous agents and multi-agent systems capable of complex decision-making, task execution, and interaction with external systems
+ Utilize and contribute to agentic AI frameworks (e.g., LangChain, AutoGen, Semantic Kernel, Crew AI) to build robust and scalable AI agents
+ Develop and integrate Model Context Protocol (MCP) solutions to standardize how AI applications access and utilize external data sources, tools, and real-time information
+ Lead the development of full-stack applications that integrate generative AI models and agentic systems, ensuring seamless user experiences
+ Work with front-end technologies (e.g., React, Angular, Vue.js, JavaScript, TypeScript, HTML, CSS) and back-end frameworks (e.g., Python with Flask/Django/FastAPI, Node.js, Go)
+ Design and implement scalable RESTful APIs and microservices to expose AI functionalities
+ Deploy, manage, and optimize AI/ML workloads and full-stack applications on at least one major cloud platform (AWS, Azure, or GCP)
+ Implement LLMOps/MLOps and DevOps best practices for continuous integration, continuous delivery (CI/CD), model deployment, monitoring, and lifecycle management
+ Stay abreast of the latest advancements in generative AI, agentic systems, foundation models, and related fields through continuous research and experimentation
+ Collaborate effectively with cross-functional teams, including product managers, data scientists, researchers, and other engineers
+ Mentor junior engineers, share knowledge, and foster a culture of technical excellence
**What** **You'll** **Bring with You:**  
+ Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field
+ 5+ years of experience in software development with a strong focus on AI/ML
+ Proven experience in building and deploying Generative AI models (e.g., LLMs, diffusion models) in production environments
+ Demonstrated expertise in designing and implementing agentic AI systems and multi-agent architectures
+ Strong understanding and practical experience with the Model Context Protocol (MCP) for AI system integration
+ Solid experience with full-stack application development
+ Extensive experience with cloud platforms (AWS, Azure, or GCP) for AI/ML deployments and general application hosting
+ Experience with LLMOps tools and practices (e.g., Langfuse, Langsmith, etc)
+ Excellent problem-solving, analytical, and communication skills
+ Ability to work independently and collaboratively in a fast-paced, agile environment
+ Willingness to work in the Orlando (Maitland) office 3 days/week.
**Why Capco?**  
A career at Capco is a chance to help reshape the competitive landscape in financial services. We launch new banks, transform existing ones, and help our clients navigate complex change. As consultants, we work on the front-end business design all the way through to technology implementation.  
We are the largest Financial Services focused consultancy in the world, serving everyone from global banks to emerging FinTechs, from strategy through digital transformation, design, business consulting, data and analytics, cyber, cloud, technology architecture, and engineering.  
Capco is a young and growing firm. We maintain an entrepreneurial spirit and growth mindset, and have minimal bureaucracy. We have no internal silos that get in the way of your career opportunities or ability to focus on our clients and make a difference to the business.  
We offer the opportunity for everyone to learn rapidly, take on tough challenges, and get promoted quickly. We take pride in our creative, collaborative, diverse, and inclusive culture, where everyone can #BYAW. 
We offer highly competitive benefits, including medical, dental, and vision insurance, a 401(k) plan, tuition reimbursement, and a work culture focused on innovation and creation of lasting value for our clients and employees. 
**Ready to Take the Next Step?**  
If this sounds like you, we would love to hear from you. This is an opportunity to make a difference and contribute to a highly successful company with a significant growth trajectory. 
We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.
#LI-MB1
#LI-HYBRID
Individuals seeking employment at Capco are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.

**Job Family** **:**
Data Science & Analysis
**Travel Required** **:**
Up to 10%
**Clearance Required** **:**
Ability to Obtain Secret
_Please note that this job posting is for a proposal of a potential client and is not reflective of an awarded job. In addition, we are only collecting resumes and interviewing based off the skillset and qualifications listed below._
**What You Will Do** **:**
+ Design, develop, and deploy advanced AI/ML solutions using Google Vertex AI and Gemini models.
+ Automate infrastructure provisioning using tools like Terraform and CI/CD pipelines using tools like GitHub actions.
+ Build and optimize generative AI and agentic AI systems for real-world applications in secure environments.
+ Integrate AI solutions across multi-cloud platforms, including AWS SageMaker, Bedrock, and Azure OpenAI.
+ Collaborate with cross-functional teams to define AI strategies, architectures, and deployment pipelines.
+ Ensure compliance with security and privacy standards in all AI implementations.
+ Mentor junior engineers and contribute to a culture of innovation and technical excellence.
**What You Will Need** **:**
+ Must be able to OBTAIN and MAINTAIN a Federal or DoD "SECRET" security clearance; candidates must obtain approved adjudication of clearance prior to onboarding with Guidehouse. Candidates with an ACTIVE "SECRET" or higher-level clearance are preferred.
+ Bachelor's degree is required
+ Minimum FIVE (5) years of experience in AI/ML engineering, with a focus on generative AI and agent-based systems.
+ Experience with GCP services and infrastructure design.
+ Deep hands-on experience with Google Cloud AI tools, including Vertex AI, AutoML, and Gemini APIs.
+ Proficiency with AWS AI/ML services (e.g., SageMaker, Bedrock) and Azure AI (e.g., Azure OpenAI, Cognitive Services).
+ Strong programming skills in Python and experience with frameworks like TensorFlow, PyTorch, or JAX.
+ Proven ability to work in secure, mission-critical environments.
**What Would Be Nice To Have** **:**
+ Master's degree
+ Experience with LLM fine-tuning, RAG pipelines, or multi-agent orchestration frameworks (e.g., LangChain, CrewAI).
+ Familiarity with MLOps tools and practices in secure cloud environments.
+ Experience with monitoring tools and observability practices.
+ Google Cloud certification (e.g., Professional Cloud Architect).
+ Prior work supporting DoD, IC, or federal government AI initiatives.
The annual salary range for this position is $98,000.00-$163,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.
**What We Offer:**
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
+ Medical, Rx, Dental & Vision Insurance
+ Personal and Family Sick Time & Company Paid Holidays
+ Parental Leave
+ 401(k) Retirement Plan
+ Group Term Life and Travel Assistance
+ Voluntary Life and AD&D Insurance
+ Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
+ Transit and Parking Commuter Benefits
+ Short-Term & Long-Term Disability
+ Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
+ Employee Referral Program
+ Corporate Sponsored Events & Community Outreach
+ Care.com annual membership
+ Employee Assistance Program
+ Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
+ Position may be eligible for a discretionary variable incentive bonus
**About Guidehouse**
Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
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Texas, United States of America
**Job Family Group:**
Research and Development
**Worker Type:**
Regular
**Posting Start Date:**
September 4, 2025
**Business unit:**
Projects and Technology
**Experience Level:**
Experienced Professionals
**Job Description:**
**What's the role**
Shell is seeking an AI Engineer to join their team in Houston, TX.
As an innovation organization, we maintain a portfolio of digital projects driven by applied research, new product innovation, platform support and scalable infrastructure initiatives. As an AI Engineer, you will play a critical role in transforming advanced AI concepts into scalable, reliable and maintainable solutions that power real-world applications across our diverse line of business.
This role is responsible for productizing AI models, building robust pipelines and deploying solutions into production environments. You will work closely with businesses domain expert, AI researchers, software engineers and architecture teams to bridge the gap between experimentation and execution.
+ Expect to be technical contributor on AI/ML projects, guiding architecture, implementation and deployment strategies
+ Consult stakeholders on technical feasibility, data quality, and model selection to address business challenges
+ Productize and deploy AI models, ensuring scalability, and reliability
+ Design and implement robust data and model pipelines for model training, evaluation, and inference
+ Establish metrics to monitor, optimize model performance along model life cycle
+ Retrain and update model as needed based on feedback for end-users' business teams
+ Drive solutions to commercial value, and collect feedback from end-users
+ Adapt novel AI algorithms and incorporate emerging AI technologies into our applications
+ Engage with internal and external stakeholders (partners/universities), and communicate technical approaches/results to a general audience
+ Analyze real-world engineering & scientific datasets, and explore their use for AI solutions
+ Implement and optimize data I/O pipelines and training/inference scripts
**What you bring**
+ Must have legal authorization to work in the US on a full-time basis for anyone other than current employer
+ Must have Master's or Ph.D in computer science, engineering, mathematics, theoretical science, statistics, or a related scientific discipline
+ At least 3+ years of experience in AI related domains
+ Experience in TensorFlow, PyTorch, or Keras
+ Hands-on expertise with MLflow for tracking experiments, managing model lifecycle, and deploying models at scale
+ Experience using Optuna for hyperparameter optimization, including defining search spaces and integrating with training pipelines
+ Experience as a technical contributor in an AI-focused project
+ Proven examples of implementing experimental pipelines and prototyping AI applications
+ Awareness of lifecycle and data management
+ A mathematical background covering some subset of linear algebra, probability, multivariate calculus, geometry, and/or numerical methods
+ Hands-on code development such as Python, Java, MATLAB, R, and software development skills
+ Proficient in version control using Git for managing models and source code
+ Experience in cloud infrastructure and architecture across platforms such as Azure and AWS. Comfortable working in Unix-based shell environments, including Bash.
**What we offer**
The base salary range for this position is $122,000 - $182,000 per year. Individual pay will be based on various factors, such as relevant work experience, education, certifications, skill level, seniority, and internal equity.
For regular full-time or regular part-time employees of the Company (participating companies as listed in the Summary Plan Description), insurance coverage options include medical, dental, vision coverage, life Insurance, Business Travel Accident Insurance, and Occupational Accidental Death Benefit programs. Employees also participate in a company pension plan and a 401(k) plan. Paid leave includes up to 6 weeks of paid vacation time, up to 11 paid holidays, and parental leave offering 16 weeks of paid leave for birthing parents, and 8 weeks of paid leave for non-birthing parents.
Additionally, employees are eligible for short-term disability leave for up to 26 weeks at 100% or 50% of base pay as well as Long-Term Disability insurance. Shell also offers other compensation such financial reimbursement for adoption, wellness, education, and personal learning expenses, and some roles are eligible for discretionary long-term incentives. For interns, eligible benefits include medical, dental, and vision coverage, life insurance, Business Travel Accident Insurance, and Occupational Accidental Death Benefit programs; participation in a 401(k) plan; and paid leave for up to 11 paid holidays. Additional information on Shell's US benefit programs can be found at .
You bring your skills and experience to Shell and in return you work with talented, committed people on one of the most important challenges facing our planet. You'll have the opportunity to develop the skills you need to grow in an environment where we value honesty, integrity, and respect for one another. You'll be able to balance your priorities as you become the best version of yourself.
+ Progress as a person as we work on the energy transition together
+ Continuously grow the transferable skills you need to get ahead
+ Work at the forefront of technology, trends, and practices
+ Collaborate with experienced colleagues with unique expertise
+ Achieve your balance in a values-led culture that encourages you to be the best version of yourself
+ Benefit from flexible working hours, and the possibility of remote/mobile working
+ Perform at your best with a competitive starting salary and annual performance related salary increase - our pay and benefits packages are considered to be among the best in the world.
+ Take advantage of paid parental leave, including for non-birthing parents
+ Join an organization working to become one of the most diverse and inclusive in the world. We strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientation, and life experiences to apply
+ Grow as you progress through diverse career opportunities in national and international teams
+ Gain access to a wide range of training and development programs
**We'd like you to know that Shell has a bold goal: to become one of the world's most diverse and inclusive companies. You can get to know more about how we're working towards that goal,** click here ( **.**
**Shell in The United States**
Shell has been in the US for more than 100 years, leading the sector in energy, petrochemicals and refined products. Today, we provide millions of Americans with the energy needed to heat and cool their homes and power the economy.
We operate in all 50 states, from our Deep Water platforms in the Gulf of America to the Pennsylvania Chemicals complex and our miles of pipelines throughout the US.
We reach our customers through our 13,000 branded retail stations, and we are number 1 in gasoline sales. We also own the #1 brand of motor oil in the U.S. - Pennzoil® - made from natural gas.
We are excited to play a key role in the move to net carbon emissions while providing the oil and gas needed by society for many decades to come.
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**DISCLAIMER:**
Please note: We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Shell/Shell Group companies around the world. The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand. Shell participates in E-Verify. All qualified applicants will receive consideration for employment without regard to race, color, sex, national origin, age, religion, disability, sexual orientation, gender identity, protected veteran status, citizenship, genetic information or other protected status under federal, state or local laws. Shell is an Equal Opportunity Employer - Minorities/Females/Veterans/Disability. As a US Federal Contractor, hiring selections are subject to periodic audit review and documentation of your selections should be maintained for a period of three calendar years. It is the policy of Shell in the U.S. ("Shell") to provide equal opportunity to all individuals, employees and all qualified applicants for employment consistent with employment requirements and qualifications. Shell prohibits discrimination based on race, color, sex, national origin, age, religion, disability, sexual orientation, gender identity, veteran status, citizenship, genetic information, or other protected status under federal, state or local laws. All employees are expected to support this policy and contribute to an environment of equal opportunity. If you need an accommodation for a disability during the resourcing process, please speak with an HR representative.
You can be a part of the future of energy. Together at Shell, we are transitioning to become a net-zero emissions business while providing the energy that people around the world need today. Working with experienced colleagues , you'll have the opportunity to develop your skills, in an environment where we value honesty, integrity and respect for one another. At Shell, you progress as we tackle the energy challenge together.
#PowerYourProgress
**Visit our careers site ( has a bold goal: to become one of the world's most diverse and inclusive companies, a place where everyone - from our employees to our customers, partners and suppliers - feels valued, respected, and has a strong sense of belonging.
Find out more about DE&I at Shell ( is a global group of energy and petrochemical companies, employing 96,000 people across more than 70 countries.
Whether they work on our platforms and pipelines, or in our offices and research labs, people are key to our success. They collectively determine our culture and we expect them to behave according to our values: honesty, integrity, and respect for people.
Learn more about our purpose and strategy ( **_If you need any assistance or support while applying for a job, please contact us at_** ** ** _"_

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a AI Engineer to join our team in Plano, Texas (US-TX), United States (US).
**As a AI Engineer with NTT DATA, you will be at the forefront of innovation, leveraging your skills to design and implement cutting-edge AI solutions. With a focus on creativity, collaboration, and technical excellence, this role offers a unique opportunity to work on transformative projects that drive business intelligence and decision-making across diverse industries.**
**Key Responsibilities:**
+ AI/ML Solution Development: Ideate, develop, and deploy AI/ML solutions focused on prediction, recommendation, text analytics, computer vision, natural language processing (NLP), and content intelligence.
+ Prototyping and PoCs: Rapidly develop prototypes and proof of concepts (PoCs) in areas such as LLMs, NLP, deep learning (DL), machine learning (ML), object detection, classification, and tracking.
+ Model Fine-tuning and Customization: Fine-tune and deploy distributed OpenAI models (e.g., DaVinci, Curie, Babbage, ADA) and apply prompt-engineering techniques to optimize model performance for specific use cases.
+ Agentic Workflows and RAG Applications: Develop applications using Retrieval-Augmented Generation (RAG) techniques and agentic workflows, enhancing AI solutions with advanced information retrieval and vector databases.
+ Cross-functional Collaboration: Work closely with cross-functional teams to design, build, and deploy AI solutions, ensuring alignment with client needs and project goals.
+ Continuous Improvement: Stay informed about the latest advancements in GenAI, machine learning, AI technologies, and cloud services to continuously optimize the technical stack.
+ Technical Communication: Clearly communicate complex technical concepts to non-technical audiences and provide training sessions to enhance data science skills within the organization.
+ Containerization and Deployment: Apply knowledge of containerization and deployment processes to ensure scalable and efficient AI solutions
+ Generative AI Integration: Utilize Azure OpenAI and other AI services to integrate Large Language Models (LLMs) into enterprise applications. Collaborate closely with business and IT teams to ensure successful implementation.
**Basic Qualifications:**
+ +3 year working with within full cycle deployment of AI technologies / solutions.
+ +2 years working with OpenAI, LLaMA, Grok, Anthropic, Gemini, Bedrock, Coherent, Mistral; Hugging Face Transformers, TensorFlow.
+ +2 years in Python, SQL.
+ +2 years working with REACT, Angular, Streamlit, Chainlit, Flask.
+ +2 working with Langchain, LLaMA Index, Vector DBs like PineCone.
+ Preferred experience in Cognitive Services, NLP, GenAI.
+ Ability to travel at least 25%.
+ Bachelor's Degree required.
**About NTT DATA**
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com ( possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .
**_NTT DATA endeavors to make_** **_ **_accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at_** **_ **_._** **_This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here ( . If you'd like more information on your EEO rights under the law, please click here ( . For Pay Transparency information, please click here ( ._**
**_#LI-NorthAmerica_**