> Markdown version of [/jobs/ext/2470830-gen-ai-engineer](https://www.wearedevelopers.com/jobs/ext/2470830-gen-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Gen AI Engineer - **Company:** Capgemini - **Location:** Hanover, NJ, United States - **Experience:** Experienced - **Salary:** $72,786.0 - $90,273.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Microsoft Online Services, Databases, DevOps, Python (Programming Language), Open Source Technology, Azure Machine Learning, Software Engineering, Systems Integration, Enterprise Software Applications, Microsoft Power Automate, Office365, Large Language Models, Multi-Agent Systems, Prompt Engineering, Model Validation, Generative AI, Machine Learning Operations, Virtual Agents - **Published:** August 12, 2026 - **Apply:** https://www.capgemini.com/jobs/532357-en_US_SAPBTP/x/ ## About the Role * 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. Preferred Qualifications * 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. ## Description 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., * 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. ## Related Videos - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)