Agentic AI Engineer – Generative, Autonomous & Enterprise AI Systems

Sogeti is part of the Capgemini Group and focuses on delivering innovative technology solutions for organizations. They are seeking Agentic AI Engineers to design and operate enterprise-grade AI systems that leverage autonomous agents for impactful business applications.

Responsibilities:

• Design and implement agentic AI systems that decompose goals into tasks, reason across steps, and execute actions using tools, APIs, and workflows
• Build single‑agent and multi‑agent architectures, including planner and executor patterns, supervisor agents, and human‑in‑the‑loop workflows
• Engineer tool‑calling and function‑based agents that interact with enterprise systems such as APIs, databases, SaaS platforms, and workflow engines
• Integrate large language models into applications and platforms using retrieval‑augmented generation to ground responses in trusted enterprise data
• Design chunking, embedding, ranking, and citation strategies to improve accuracy, relevance, and trust
• Evaluate and integrate LLM platforms such as Azure OpenAI, OpenAI, Anthropic, Gemini, or similar providers based on quality, cost, latency, and compliance needs
• Embed agentic capabilities into business applications, portals, copilots, and internal tools
• Integrate AI solutions with cloud‑native services, microservices, event‑driven architectures, and orchestration platforms
• Collaborate with frontend, backend, UX, and platform teams to deliver intuitive user experiences
• Implement enterprise guardrails such as role‑based access control, content filtering, grounding, and response validation
• Design observability for agentic systems, including logging, tracing, metrics, and evaluation frameworks
• Support security, privacy, responsible AI, and compliance requirements in regulated or enterprise environments
• Translate business problems into agentic AI designs and clearly communicate trade‑offs to technical and non‑technical stakeholders
• Contribute to proofs of concept, pilots, and production deployments across client and internal initiatives
• Share knowledge, mentor other engineers, and contribute to reusable patterns, standards, and accelerators

Requirements:

• Experience in software engineering, application development, automation, data platforms, or AI engineering
• Proficiency in Python; experience with Java, JavaScript/TypeScript, or C# is a plus
• Experience designing or integrating APIs, services, or cloud‑based systems
• Hands‑on experience working with generative AI in real projects, not just experimentation
• Familiarity with agentic or orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar tools
• Experience or interest in retrieval‑augmented generation, vector databases, or enterprise search
• Experience working in cloud environments such as Azure, AWS, or GCP
• Familiarity with CI/CD pipelines, containerization, or modern deployment practices
• Understanding of identity, security, and access control in enterprise systems
• Bachelor's or Master's degree in Computer Science, Software Engineering, Information Systems, Business Administration, or a related field
• Experience with workflow or automation platforms such as Power Automate, Logic Apps, ServiceNow, or n8n
• Experience with Microsoft Copilot Studio, Azure AI services, or copilot extensibility
• Familiarity with evaluation frameworks for LLMs or agentic systems
• Exposure to responsible AI, AI governance, or regulated industries
• Consulting, client‑facing, or solution architecture experience
• Experience with agentic development tools or IDEs such as Cursor, Claude Code, Codex, or Gemini CLI