Capgemini

AI/ML Technical Lead

Capgemini$150K — $160K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in software engineering or 3+ years in AI/ML, Data Science, or Generative AI solutions.
  • 3+ years of experience leading technical teams and global delivery programs.
  • Proven management of onshore and offshore engineering teams.
  • Hands-on experience building AI agents and workflows in multi-agent systems.
  • Familiarity with enterprise AI governance and security controls.

Responsibilities

  • Lead the development and deployment of AI/ML and Generative AI solutions.
  • Drive implementation of machine learning models and intelligent automation capabilities.
  • Oversee solution quality, performance, scalability, and operational readiness.
  • Troubleshoot complex technical issues and guide development teams.
  • Ensure adherence to coding standards and AI governance policies.
  • Define and implement agent monitoring and optimization practices.
  • Mentor offshore development teams for quality deliverables.

Benefits

  • Paid time off ranging from 12 to 25 days based on employee grade.
  • Medical, dental, and vision coverage.
  • Retirement savings plans like 401(k) or RRSP.
  • Life and disability insurance.
  • Employee assistance programs.
  • Other local benefits based on policy and eligibility.
Full Job Description
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

About Capgemini

Capgemini is a global leader in consulting, digital transformation, technology and engineering services. The company is headquartered in Paris, France and operates in over 50 countries. Capgemini provides a range of services including strategy and transformation, application services, technology services, and engineering services. The company serves clients in a variety of industries including automotive, consumer products, financial services, healthcare, and retail.
Learn more about Capgemini
Industry
Founded
1967
NASDAQ

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