AI/ML Technical Lead

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

• 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.

Required Skills and Experince

• 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
• 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 controls

The 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. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• 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

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due un…