31,958 Senior AI jobs in the United States
AI Engineering Lead
Posted today
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Job Description
Partner with Internal Product Manager(s) and Consulting Leadership to identify, design, and implement AI-driven solutions that improve operational efficiency and drive savings or quantifiable business value. Develop and deploy scalable AI/ ML archite Engineer, AI, Lead, Microsoft, Technology, Accounting, Solutions
AI Engineering Lead
Posted today
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Job Description
At Armanino, you determine your career path. This means it's possible to pursue challenges you are passionate about, in industries you care about. Armanino is proud to be among the top 20 Largest Firms in the Nation and one of the Best Places to Work. We have a community of resources that are ready and willing to support your ideas, build your skills and expand your professional network. We want you to integrate all aspects of your life with your career. At Armanino, we know you don't check-out of life when you check-in at work. That's why we've created a unique work environment where your passions, work, and family & friends can overlap. We want to help you achieve growth by giving you access to a network of smart and supportive people, willing to listen to your ideas.
We are seeking a highly skilled and innovative AI Engineering Lead / AI Product Manager to drive the development and implementation of AI-powered solutions within our Consulting practice. This role will initially focus on internal initiatives, partnering closely with an Internal Product Manager to deliver transformative, efficiency-driven AI solutions that generate measurable cost savings. Over time, there will be opportunities to expand into client-facing work as the firm's AI initiatives evolve. In addition, the AI Engineering Lead will support internal consulting team training and enablement initiatives to broaden AI capabilities across the practice.
Key Responsibilities:
Partner with Internal Product Manager(s) and Consulting Leadership to identify, design, and implement AI-driven solutions that improve operational efficiency and drive savings or quantifiable business value.
Develop and deploy scalable AI/ML architectures and applications, including natural language processing (NLP), computer vision, and generative AI use cases.
Build proofs-of-concept (PoCs) and transition successful initiatives into production-ready, enterprise-grade solutions.
Architect and optimize data pipelines, model training workflows, and deployment strategies.
Translate complex business challenges into AI-enabled technical solutions that align with Consulting practice goals.
Maintain technical ownership of AI projects from initial concept through implementation.
Research and evaluate emerging AI technologies, recommending new approaches to enhance Consulting service delivery.
Conduct internal training sessions and enablement programs to upskill Consulting team members on AI tools, concepts, and capabilities.
Requirements:
Bachelor's degree in Business, IT, related major or equivalent work experience.
Minimum of 5 years' professional experience designing, building, and deploying AI/ML solutions.
Strong proficiency with machine learning frameworks (e.g., TensorFlow, PyTorch, Hugging Face) and AI development toolkits (e.g., LangChain, Azure OpenAI, Amazon Bedrock, OpenAI API integrations, etc.).
Hands-on experience deploying solutions on Azure OpenAI or similar AI platforms.
Understanding of ethical AI practices, responsible AI development, and data privacy standards.
Proficiency in Python or equivalent coding languages and experience with key data manipulation libraries (e.g., Pandas, NumPy, Scikit-learn).
Experience with Microsoft technologies such as the Power Platform and deploying AI models in cloud environments, particularly Microsoft Azure.
Experience with Large Language Models (LLMs) and generative AI application development and the ability to design and deliver technical solutions that address business challenges.
Strong analytical, problem-solving, and project execution skills.
Excellent communication and presentation skills, with the ability to explain complex AI concepts to non-technical audiences.
Preferred Qualifications:
Practical knowledge of MLOps practices for model lifecycle management.
AI Engineering Lead
Posted today
Job Viewed
Job Description
At Armanino, you determine your career path. This means it's possible to pursue challenges you are passionate about, in industries you care about. Armanino is proud to be among the top 20 Largest Firms in the Nation and one of the Best Places to Work. We have a community of resources that are ready and willing to support your ideas, build your skills and expand your professional network. We want you to integrate all aspects of your life with your career. At Armanino, we know you don't check-out of life when you check-in at work. That's why we've created a unique work environment where your passions, work, and family & friends can overlap. We want to help you achieve growth by giving you access to a network of smart and supportive people, willing to listen to your ideas.
We are seeking a highly skilled and innovative AI Engineering Lead / AI Product Manager to drive the development and implementation of AI-powered solutions within our Consulting practice. This role will initially focus on internal initiatives, partnering closely with an Internal Product Manager to deliver transformative, efficiency-driven AI solutions that generate measurable cost savings. Over time, there will be opportunities to expand into client-facing work as the firm's AI initiatives evolve. In addition, the AI Engineering Lead will support internal consulting team training and enablement initiatives to broaden AI capabilities across the practice.
Key Responsibilities:
Partner with Internal Product Manager(s) and Consulting Leadership to identify, design, and implement AI-driven solutions that improve operational efficiency and drive savings or quantifiable business value.
Develop and deploy scalable AI/ML architectures and applications, including natural language processing (NLP), computer vision, and generative AI use cases.
Build proofs-of-concept (PoCs) and transition successful initiatives into production-ready, enterprise-grade solutions.
Architect and optimize data pipelines, model training workflows, and deployment strategies.
Translate complex business challenges into AI-enabled technical solutions that align with Consulting practice goals.
Maintain technical ownership of AI projects from initial concept through implementation.
Research and evaluate emerging AI technologies, recommending new approaches to enhance Consulting service delivery.
Conduct internal training sessions and enablement programs to upskill Consulting team members on AI tools, concepts, and capabilities.
Requirements:
Bachelor's degree in Business, IT, related major or equivalent work experience.
Minimum of 5 years' professional experience designing, building, and deploying AI/ML solutions.
Strong proficiency with machine learning frameworks (e.g., TensorFlow, PyTorch, Hugging Face) and AI development toolkits (e.g., LangChain, Azure OpenAI, Amazon Bedrock, OpenAI API integrations, etc.).
Hands-on experience deploying solutions on Azure OpenAI or similar AI platforms.
Understanding of ethical AI practices, responsible AI development, and data privacy standards.
Proficiency in Python or equivalent coding languages and experience with key data manipulation libraries (e.g., Pandas, NumPy, Scikit-learn).
Experience with Microsoft technologies such as the Power Platform and deploying AI models in cloud environments, particularly Microsoft Azure.
Experience with Large Language Models (LLMs) and generative AI application development and the ability to design and deliver technical solutions that address business challenges.
Strong analytical, problem-solving, and project execution skills.
Excellent communication and presentation skills, with the ability to explain complex AI concepts to non-technical audiences.
Preferred Qualifications:
Practical knowledge of MLOps practices for model lifecycle management.
AI Engineering Lead
Posted 3 days ago
Job Viewed
Job Description
Partner with Internal Product Manager(s) and Consulting Leadership to identify, design, and implement AI-driven solutions that improve operational efficiency and drive savings or quantifiable business value. Develop and deploy scalable AI/ ML archite Engineer, AI, Lead, Microsoft, Technology, Accounting, Solutions
AI Engineering Manager

Posted today
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Job Description
As the Manager of Agentic AI Engineering, you will lead a highly specialized team driving the development of cutting-edge AI systems. You will enhance efficiency across three key areas: Data Cleaning, Model Fine-Tuning, and Agentic AI Creation. You will oversee a team of senior engineers and work closely with leadership, product, and research teams to propel the development of pioneering AI systems.
Responsibilities
+ Lead and manage a cross-functional team focusing on data, model behaviors, and autonomous agents.
+ Define and implement the strategic vision for the team, balancing short-term goals with long-term AI development.
+ Mentor and guide senior engineers, fostering a collaborative and innovative environment.
+ Act as the liaison between engineering, leadership, and external stakeholders.
Essential Skills
+ Minimum Bachelor's degree in Computer Science, Machine Learning, or a related field.
+ 6+ years of experience in AI, ML, or automation, with at least 2 years in a leadership role.
+ Strong expertise across the entire AI lifecycle: data, model tuning, and agent systems.
+ Experience with foundational models, RLHF, and multi-agent systems.
+ Proficiency in Python, SQL, C#, and software development.
Additional Skills & Qualifications
+ 5+ years of experience in Data Cleaning.
+ 5+ years of experience in Model Fine-Tuning.
+ 5+ years of experience in Agentic AI Creation.
+ 3+ years of experience in Project Management.
+ 3+ years of experience in Team Management.
Work Environment
This role involves desk work in a casual work attire environment with a team of 5 people. No outside technology is allowed inside the building. The organization provides a work phone and lockers in the lobby to store personal items not allowed in the building. Employees must go through security each day when entering and exiting the building.
Job Type & Location
This is a Permanent position based out of Phoenix, Arizona.
Pay and Benefits
The pay range for this position is $13000.00 - $195000.00/yr.
Launched in 2024, this plan allows employees to customize their benefits based on personal needs and lifestyle. It includes:
Medical & Insurance: Health coverage, wellness programs, and supplemental insurance.Family Care: Support for childcare, eldercare, and even pet care (a new addition).Wellness: Fitness, mental health resources, and travel-related benefits.Development & Volunteering: Funding for professional development and community service activities.
Workplace Type
This is a fully onsite position in Phoenix,AZ.
Application Deadline
This position is anticipated to close on Sep 5, 2025.
About Actalent
Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email (% ) for other accommodation options.
Gen AI Engineering Manager
Posted today
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Job Description
At Motorola Solutions, we believe that everything starts with our people. We're a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. Our critical communications, video security and command center technologies support public safety agencies and enterprises alike, enabling the coordination that's critical for safer communities, safer schools, safer hospitals and safer businesses. Connect with a career that matters, and help us build a safer future.
Department Overview
A smarter store starts with smarter communication. Theatro, our user-friendly, voice-driven AI platform provides retail workers with real-time, discreet, and efficient communication - helping them stay safe and productive while delivering top-notch customer service.
Job Description
Oversee the design, development, and deployment of Digital workflows using GenAI LLM models and applications.
Define and drive the product roadmap for Gen AI capabilities within a wearable voice platform, from intent recognition to real-time AI agent orchestration.
Design AI behaviors that can reason, recall, and act autonomously in response to multi-turn, real-world voice interactions.
Architect and implement end-to-end generative AI pipelines-covering speech-to-text (ASR), LLM-based reasoning, retrieval-augmented generation (RAG), and text-to-speech (TTS).
Lead the development of context-aware, multimodal AI agents capable of real-time voice interaction, memory retention, and adaptive decision-making.
Enable intelligent agent orchestration across devices and environments.
Collaborate with cross-functional teams (product, design, data science) to define project scopes and deliverables.
Drive end-to-end project execution, from research exploration, cost and LLM model selection.
Qualifications:
Bachelor's or Master's degree in Computer Science or a related field.
At least 7+ years of experience in AI/ML, with at least 2 years in a leadership or managerial role.
Experience managing teams in software development environment
Excellent communication skills both written and verbal
Strong analytical and problem-solving abilities
Proven track record of success working in complex environments
Target Base Salary Range: $90,000 - $178,600 USD
Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate.
#LI-RS1
Basic Requirements
Bachelor's or Master's degree in Computer Science or a related field.
At least 7+ years of experience in AI/ML, with at least 2 years in a leadership or managerial role.
Travel Requirements
Under 10%
Relocation Provided
None
Position Type
Experienced
Referral Payment Plan
Yes
Our U.S. Benefits include:
- Incentive Bonus Plans
- Medical, Dental, Vision benefits
- 401K
- 10 Paid Holidays
- Generous Paid Time Off Packages
- Employee Stock Purchase Plan
- Paid Parental & Family Leave
- and more!
EEO Statement
Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.
We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you'd like to join our team but feel that you don't quite meet all of the preferred skills, we'd still love to hear why you think you'd be a great addition to our team.
We're committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete this Reasonable Accommodations Form so we can assist you.
Agentic AI Engineering Lead
Posted today
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Job Description
At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world.
As a Lilly Agentic AI Engineer Lead, you will build cutting edge AI tools with a team of passionate engineers to accelerate & enhance Lilly's drug discovery process. You will be hands-on designing architecture, deploying scalable services/integrations, and developing novel software to harness the power of LLMs to assist researchers in their day-to-day work. This role requires deep technical expertise, guiding engineers to deliver complex, high-quality software solutions. You will collaborate closely with partners from Lilly Research Labs, AI, Software Engineering, and industry leading partners outside Lilly to accelerate medicine discovery for Lilly.
How You'll Succeed:- Design and develop robust, scalable, and secure software solutions with a hands-on approach.
- Lead and mentor within a team of engineers, fostering best practices in software development such as design review, code reviews, testing, and continuous integration/continuous deployment (CI/CD).
- Build and maintain microservices architectures and APIs, ensuring seamless interoperability and data flow across platforms.
- Implement containerization solutions, particularly using Kubernetes, to support deployment and scaling needs.
- Collaborate with diverse technical teams, including R&D, Data Science, IT Operations, and AI/ML teams, to translate business requirements into technical solutions.
- Ensure optimal system performance, reliability, and security through proactive monitoring and continuous improvement.
- Drive the adoption of modern engineering practices, tools, and technologies to enhance productivity and software quality.
- Troubleshoot complex technical issues and provide hands-on support to resolve them efficiently.
- Work with Principal Engineers to determine best path forward when it comes to scale, platform technologies, and other technical decisions.
- Monitor and track operational metrics.
- Ensure robust integration of AI/ML models into production environments, focusing on scalability, performance, and reliability.
- Go, Rust, Java, C++ or other OOP
- Experience with scripting languages such as Python/Javascript
- Worked with Containers, Serverless, Kubernetes and other hosting targets
- Able to act as a mentor and lead more junior engineers in advancing their skill sets and performing code reviews.
- Understanding of HTTP and restful based APIs.
- Experience applying test driven development methodologies to catch bugs early & prevent feature reversion.
- Experience using CI tools to automatically test & CD tools to automatically deploy code updates.
- Experience applying systems engineering concepts to complex distributed systems with high throughput & availability requirements.
- Experience with architecture and software design tools such as UML for system modeling and design.
- Experience refactoring and re-platforming
- Building prototypes, all types of testing including canary
- Algorithm analysis/refactor support optimal execution at scale
- Experience with tools and frameworks for AI/ML such as MLflow, pytorch, tensorflow, or similar frameworks/tools is preferred.
- Bachelor's or Master's degree in Computer Science, Information Technology, Software Engineering, or a related field.
- 5+ years of hands-on experience in architecture and software engineering, with a proven track record of delivering complex, cross-functional IT solutions.
Lilly IT builds and maintains capabilities using cutting edge technologies like most prominent tech companies. What differentiates Lilly IT is that we redefine what's possible through tech to advance our purpose creating medicines that make life better for people around the world, like data driven drug discovery and connected clinical trials. We hire the best technology professionals from a variety of backgrounds, so they can bring an assortment of knowledge, skills, and diverse thinking to deliver innovative solutions in every area of our business.
Research Tech unites science with technology to accelerate the Research and Development of medicines and to deliver therapeutic innovations. The team leverages technology and platforms to streamline scientific experimentation to help Researchers follow the science, to understand the disease and identify potential therapies. They are at the forefront of advanced analytics to enable data driven drug discovery, to innovate so Scientists can rapidly analyze and accelerate the discovery of new medicines.
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is $135,000 - $213,400. Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities). Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
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Generative AI Engineering Lead
Posted today
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Job Description
Overview of Citi:
Citi is a world-leading global bank. We have approximately 200 million customer accounts and a presence in more than 100 countries and jurisdictions worldwide. We provide consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. We enable clients to achieve their strategic financial objectives by providing them with cutting-edge ideas, best-in-class products and solutions, and unparalleled access to capital and liquidity.
Overview of the organization:
The CTO organization is responsible for defining and executing the core architecture and technology strategy for the firm by working across the business units (Markets, Treasury and Trade Services, Banking, and Shared Services) and functions. Ensuring strategic alignment and efficiency of solutions across a diverse portfolio of engineering and transformation efforts. The COO Enterprise Solution Engineering capability sits within CTO and is responsible for the development of best-in-class technology platforms for Operations, including development of an integrated portfolio of Operations tools, end-to-end solution design for large scale transformation initiatives, design governance, and adoption of Generative AI solutions for driving operational efficiencies.
Job Purpose :
We are seeking an innovative GenAI Engineering Lead to drive the adoption of Large Language Models and agentic flows to drive process efficiencies, automation, simplification, and risk reduction across enterprise business solutions. In this role you will be responsible for driving and contributing to the technical direction of our products and services, instilling engineering best practices into the team, and promoting cultural change across the organization. You will also work with various technology teams to push the adoption of Generative AI technologies and agentic flows, across enterprise-wide applications and processes. Developing partnerships with third party providers to validate and adopt best-of-breed solutions.
You will be joining us right at the beginning of our journey. We are seeking experienced software engineers who thrive in a results-driven environment, passionate about GenAI and who (just like us!) love programming.
What youll do:
- Contribute to both, engineering and research
- Take a product-focused approach and build solutions that are robust, scalable, and easy to use
- Work in a fast-paced environment tackling cutting-edge problems by constantly testing and learning
- Pair programming for our products, be lean in your approach and remove bureaucracy where you see it
- Deliver fast, iterating and pivot as you go, rather than defining the perfect solution upfront
- Develop foundational components and mature technology capabilities in AI and LLMs
- Drive adoption across the enterprise
What well need from you:
- Deep hands-on experience in engineering and executing enterprise solutions that scale
- Fluency in at least two programming language, with preference for Python, Javascript/Typescript, Golang
- Pytorch, TensorFlow experience
- Understanding of language models, transformers, agentic frameworks
- Rich understanding of vector stores and search algorithms
- Experience in Java 8, SpringBoot, Python, Oracle/MongoDB & Docker/Kubernetes/Open Shift, messaging platforms
- Direct engineering experience of high performance, large-scale AI/ML systems
- Have experience supporting fast-paced startup engineering teams
- Experience in model risk management, guardrails development, and end-user adoption pathways of AI / GenAI solutions
Work Experience:
At least 10+ years of experience in financial services / technology firms / start-ups Strong hands-on experience with Agile delivery, product management, value stream methodologies Strong communication skills and proven track record in producing quality project artefacts, including senior management reports within a technology or risk & controls domain Ability to structure and run product working groups across diverse stakeholders to drive a consensus on requirements and develop and implement process, data, system designs Motivated self-starter with ability to learn new skills quickly and navigate the organization
Education:
- Bachelors degree in IT, Computer Science, or engineering. Masters degree preferred
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Job Family Group:
Technology---
Job Family:
Applications Development---
Time Type:
Full time---
Primary Location:
New York New York United States---
Primary Location Full Time Salary Range:
$142,320.00 - $213,480.00
In addition to salary, Citis offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
---
Most Relevant Skills
Please see the requirements listed above.---
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.---
Anticipated Posting Close Date:
Oct 31, 2025---
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citis EEO Policy Statement and the Know Your Rights poster.
Cybersecurity AI Engineering - Manager
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Join to apply for the Cybersecurity AI Engineering - Manager role at PwC
1 week ago Be among the first 25 applicants
Join to apply for the Cybersecurity AI Engineering - Manager role at PwC
Specialty/Competency: Cybersecurity & Privacy
Industry/Sector: Not Applicable
Time Type: Full time
Travel Requirements: Up to 40%
At PwC, our people in risk and compliance focus on maintaining regulatory compliance and managing risks for clients, providing advice, and solutions. They help organisations navigate complex regulatory landscapes and enhance their internal controls to mitigate risks effectively. In regulatory risk compliance at PwC, you will focus on confirming adherence to regulatory requirements and mitigating risks for clients. You will provide guidance on compliance strategies and help clients navigate complex regulatory landscapes.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team members unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Skills
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
- Analyse and identify the linkages and interactions between the component parts of an entire system.
- Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
- Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
- Develop skills outside your comfort zone, and encourage others to do the same.
- Effectively mentor others.
- Use the review of work as an opportunity to deepen the expertise of team members.
- Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
- Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
- Champion the integration of AI and data-driven insights into regulatory risk and cybersecurity engagements.
- Serve as a liaison between technical data/AI teams and business stakeholders to ensure strategic alignment.
- Lead the design and execution of innovative compliance and risk management solutions that leverage automation, analytics, or AI technologies.
- Help shape the firm's go-to-market offerings for AI-enabled regulatory and cyber solutions.
As part of the Risk and Compliance team you will champion the integration of AI and data-driven insights into regulatory risk and cybersecurity engagements. As a Manager, you will lead the design and execution of innovative compliance and risk management solutions that utilize automation, analytics, or AI technologies. This role involves serving as a liaison between technical data/AI teams and business stakeholders to promote strategic alignment while inspiring and mentoring junior staff to enhance their skills.
Responsibilities
- Shape the firm's market offerings for AI-driven regulatory and cybersecurity solutions
- Deliver exceptional outputs that meet client expectations and compliance standards
- Foster a culture of collaboration and continuous improvement within the team
- Uphold the firm's values and ethical standards in all engagements
- Bachelor's Degree
- 6 years of experience
- Preferred field(s) of study: Artificial Intelligence and Robotics, Data Processing/Analytics/Science
- Certification(s) Preferred: Information Systems Security Professional (CISSP), Information Security Manager (CISM), or ISACA in Risk and Information Systems Control (CRISC)
- Demonstrating significant experience in leading client engagements in regulatory compliance
- Leading large projects in cybersecurity or cyber risk management
- Mentoring and guiding junior staff to enhance skills
- Inspiring and motivating teams to achieve excellence
- Championing the integration of AI into regulatory risk engagements
- Designing and implementing cyber risk governance frameworks
- Monitoring and reporting of cyber risks, threats, and vulnerabilities
- Possessing knowledge integrating AI/ML capabilities into existing GRC (governance, risk, and compliance) frameworks
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy:
As PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.
The salary range for this position is: $100,000 - $32,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link:
Seniority level
- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Information Technology
- Industries Accounting, Financial Services, and Business Consulting and Services
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#J-18808-LjbffrCybersecurity AI Engineering - Manager
Posted 1 day ago
Job Viewed
Job Description
At PwC, our people in risk and compliance focus on maintaining regulatory compliance and managing risks for clients, providing advice, and solutions. They help organizations navigate complex regulatory landscapes and enhance their internal controls to mitigate risks effectively. In regulatory risk compliance at PwC, you will focus on confirming adherence to regulatory requirements and mitigating risks for clients. You will provide guidance on compliance strategies and help clients navigate complex regulatory landscapes.
Enhancing your leadership style, you motivate, develop, and inspire others to deliver quality. You are responsible for coaching, leveraging team members unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
- Analyse and identify the linkages and interactions between the component parts of an entire system.
- Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
- Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
- Develop skills outside your comfort zone, and encourage others to do the same.
- Effectively mentor others.
- Use the review of work as an opportunity to deepen the expertise of team members.
- Address conflicts or issues, engaging in difficult conversations with clients, team members, and other stakeholders, escalating where appropriate.
- Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firms code of conduct, and independence requirements.
- Champion the integration of AI and data-driven insights into regulatory risk and cybersecurity engagements.
- Serve as a liaison between technical data/AI teams and business stakeholders to ensure strategic alignment.
- Lead the design and execution of innovative compliance and risk management solutions that leverage automation, analytics, or AI technologies.
- Help shape the firms go-to-market offerings for AI-enabled regulatory and cyber solutions.
The Opportunity
As part of the Risk and Compliance team, you will champion the integration of AI and data-driven insights into regulatory risk and cybersecurity engagements. As a Manager, you will lead the design and execution of innovative compliance and risk management solutions that utilize automation, analytics, or AI technologies. This role involves serving as a liaison between technical data/AI teams and business stakeholders to promote strategic alignment while inspiring and mentoring junior staff to enhance their skills.
Responsibilities
- Shape the firms market offerings for AI-driven regulatory and cybersecurity solutions
- Deliver exceptional outputs that meet client expectations and compliance standards
- Foster a culture of collaboration and continuous improvement within the team
- Uphold the firms values and ethical standards in all engagements
What You Must Have
- Bachelors Degree
- 6 years of experience
What Sets You Apart
- Preferred field(s) of study: Artificial Intelligence and Robotics, Data Processing/Analytics/Science
- Certification(s) Preferred: Information Systems Security Professional (CISSP), Information Security Manager (CISM), or ISACA in Risk and Information Systems Control (CRISC)
- Demonstrating significant experience in leading client engagements in regulatory compliance
- Leading large projects in cybersecurity or cyber risk management
- Mentoring and guiding junior staff to enhance skills
- Inspiring and motivating teams to achieve excellence
- Championing the integration of AI into regulatory risk engagements
- Designing and implementing cyber risk governance frameworks
- Monitoring and reporting of cyber risks, threats, and vulnerabilities
- Possessing knowledge integrating AI/ML capabilities into existing GRC (governance, risk, and compliance) frameworks
Travel Requirements Up to 40%
Job Posting End Date
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy.
As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.
The salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individuals skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link.