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Capgemini
AI/ML Technical Lead
Career Insights for Generative Artificial Intelligence Engineer
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What they do
A Generative Artificial Intelligence Engineer develops, designs, and manages generative models and algorithms that support the generation of new content in the form of images, text, audio, and other multimedia. They utilize GPTs, GANs, VAEs, and other deep learning architectures to craft systems capable of generating data. May work with data scientists, machine learning engineers, and software developers.
$127,942 / year median in New Jersey
Job Description
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Location Reading, PA Candidate must be willing to be at customer location (Reading, PA) 1-2 times each week.
Your Role AI/ML Technical Lead will be responsible for driving end-to-end execution, leading engineering teams, coordinating onshore and offshore delivery, and ensuring successful deployment of AI solutions. Hands-on experience building production-grade agentic AI applications using Strands Agents Framework, Microsoft Agent Core, LangGraph, or similar orchestration frameworks and implementing enterprise AI assistants, autonomous agents, and AI workflow automation solutions. Key Responsibilities
Location Reading, PA Candidate must be willing to be at customer location (Reading, PA) 1-2 times each week.
Your Role AI/ML Technical Lead will be responsible for driving end-to-end execution, leading engineering teams, coordinating onshore and offshore delivery, and ensuring successful deployment of AI solutions. Hands-on experience building production-grade agentic AI applications using Strands Agents Framework, Microsoft Agent Core, LangGraph, or similar orchestration frameworks and implementing enterprise AI assistants, autonomous agents, and AI workflow automation solutions. Key Responsibilities
- Lead the development and deployment of AI/ML and Generative AI solution
- Drive implementation of machine learning models, LLM-powered applications, RAG solutions, and intelligent automation capabilities
- Oversee solution quality, performance, scalability, and operational readiness
- Troubleshoot complex technical issues and provide guidance to development teams
- Ensure adherence to coding standards, security requirements, and AI governance policies
- Define and implement agent monitoring, observability, evaluation, and optimization practices
- Mentor and guide offshore development teams to ensure quality deliverables and adherence to best practices
- Drive AI solution governance, compliance, security, and responsible AI adoption.
- 5+ years of software engineering experience or 3+ years of AI/ML, Data Science, or Generative AI solution experience
- 3+ years leading technical teams and global delivery programs
- Proven experience managing onshore and offshore engineering teamsHands-on experience with
- Building AI agents and agentic workflows; Multi-agent systems and orchestration
- Tool calling and function execution
- Agent memory management, Agent planning and reasoning
- Agent observability and evaluation
- Workflow automation and task delegation
- RAG and vector search implementations
- Enterprise AI governance and security controlsThe base compensation range for this role in the posted location is $150,000
- $160,000 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws.