AI/ML Technical Lead

CapgeminiBridgewater, NJ
Hybrid

About The Position

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.

Requirements

  • 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 teams
  • Hands-on experience with Building AI agents and agentic workflows; Multi-agent systems and orchestration
  • Hands-on experience with Tool calling and function execution
  • Hands-on experience with Agent memory management, Agent planning and reasoning
  • Hands-on experience with Agent observability and evaluation
  • Hands-on experience with Workflow automation and task delegation
  • Hands-on experience with RAG and vector search implementations
  • Hands-on experience with Enterprise AI governance and security controls

Nice To Haves

  • 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.

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.

Benefits

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade
  • Company paid holidays
  • Personal Days
  • Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility
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