Agentic AI 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.

Job Description

Roles and Responsibilities:

AI First Solution Design Lead AI driven solution across experience and MarTech solutions using latest technologies and frameworks applicable
Model Development Lead to design train and optimize machine learning and deep learning models for various business use cases
Data Engineering Manage to preprocess and analyze large datasets to ensure quality and usability for AI models
Deployment Integration Implement AI models into production environments using cloud platforms and containerization tools
Research Innovation Stay updated on emerging AI technologies and frameworks propose innovative solutions to complex problems
App Development Work closely with application development team for managing application development completion
Collaboration Work closely with data scientists software engineers and product teams to integrate AI capabilities into products and services

Skills:
Experience:

Bachelors or Masters degree in Computer Science AI Data Science or related field
Has to have Martech Background and built an Agentic AI solution on Martech platforms
5 Years of experience in Martech Stack Adobe Salesforce Google
1 Yr Experience with Agent orchestration and prompt management frameworks LangChain CrewAI etc
5 years of experience in Full Stack technologies Eg React Java Spring boot for application development
Deep expertise in LLMs RAG agentic systems and AI orchestration frameworks
Hands on experience deploying AIML solutions in production environments
Expert level proficiency with agentic development tools Claude Code Cursor GitHub Copilot etc
Deep understanding of large language models AI agents and autonomous system design
Knowledge of modern AI driven protocols including MCP Model Context Protocol and similar emerging standards
Full stack engineering mindset must understand and engineer complete systems from frontend to backend infrastructure and data layers to effectively automate them

Nice to have:

if candidate has knowledge of Adobe experience cloud products
Proficiency in Python TensorFlow PyTorch and other ML frameworks
Experience with cloud platforms AWS Azure GCP and MLOps tools

The base compensation range for this role in the posted location is: USD $150,000 - $155,000/Annum

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 N