Gen AI Engineer
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. We are seeking a Gen AI Engineer with deep expertise in the Microsoft AI ecosystem to design, develop, and deploy enterprise-scale AI solutions. The ideal candidate will have strong hands-on experience with Azure AI Services, Microsoft Copilot, Large Language Models (LLMs), RAG architectures, agentic AI frameworks, and production-grade AI implementations.
Requirements
- 8+ years of software engineering experience with 3+ years focused on Generative AI.
- Strong experience with Azure AI Services, Azure OpenAI, Azure AI Foundry, and Microsoft Copilot.
- Hands-on experience building RAG-based applications and working with vector databases.
- Proficiency in Python and AI orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or CrewAI.
- Experience deploying AI applications using Azure cloud services and modern DevOps practices.
- Strong understanding of prompt engineering, model evaluation, AI observability, and responsible AI principles.
- Experience integrating AI solutions with enterprise systems and APIs.
Nice To Haves
- Experience with Microsoft 365 Copilot, Copilot Studio, or custom Copilot development.
- Knowledge of MLOps, AI governance frameworks, and enterprise security standards.
- Azure AI, Azure Solutions Architect, or related Microsoft certifications.
Responsibilities
- Design and develop enterprise Generative AI solutions using LLMs and multimodal AI models.
- Build and optimize Retrieval-Augmented Generation (RAG) architectures using vector databases and enterprise knowledge repositories.
- Develop intelligent agents and agentic workflows using frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or CrewAI.
- Engineer prompts, guardrails, and evaluation frameworks to improve AI accuracy, reliability, and safety.
- Fine-tune, customize, and evaluate open-source and proprietary foundation models.
- Integrate AI solutions with enterprise applications, APIs, databases, Microsoft platforms, and business workflows.
- Develop scalable AI services and APIs for production environments on Azure.
- Establish AI governance, monitoring, security, compliance, and Responsible AI controls.
- Collaborate with architects, product managers, data scientists, and business stakeholders to deliver impactful AI solutions.
- Mentor junior engineers and promote AI engineering best practices across teams.
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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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
