Azure AI Leader

🕒 September 1

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Capgemini

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1967

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.

📋 Description

• Lead the end-to-end architecture, design, and delivery of enterprise-grade Generative AI and Agentic AI solutions across business-critical use cases • Design and build AI applications, agentic workflows, RAG-based solutions, model integrations, API-enabled AI capabilities, and reusable enterprise AI components • Architect and implement Copilot Studio and Azure AI Foundry solutions, including custom agent development, prompt engineering, workflow orchestration, and code-first agent patterns using Azure AI Foundry Agent Service • Design and govern multi-agent architectures using connected/child agents, agent-to-agent A2A collaboration patterns, and Model Context Protocol (MCP) for standardized tool, workflow, and enterprise data integration

🎯 Requirements

• Deep expertise in Generative AI solution architecture, LLM-based application design, AI platform engineering, and enterprise-scale AI implementation • Strong grasp of enterprise data grounding, RAG architecture, vector databases, knowledge indexing, API integration, and secure enterprise system connectivity • Hands-on experience building conversational AI, task-oriented AI agents, autonomous/semi-autonomous workflows, and enterprise copilots or assistants • Practical experience with Microsoft Azure AI Foundry for building, deploying, observing, governing, and managing enterprise-grade AI agents and agentic AI solutions

🏖️ Benefits

• Flexible work arrangements, including remote work and flexible work hours • Career growth programs and diverse professional opportunities • Certifications in the latest technologies, such as Generative AI