Agentic AI Platform Engineer

Role Summary Company Agentic AI landscape spans multiple tech stacks Dataiku, Azure AI Foundry, and Co-Pilot without a shared observability layer, governance model, or decision framework. This role will evaluate the platforms, close technical and governance gaps, and help build a future-ready agentic AI foundation aligned with One of the very large railway manufacuturing Company roadmap for autonomous AI solutions. Key Responsibilities Evaluate current agentic AI platforms (Dataiku, Azure AI Foundry, Co-Pilot) for capability and readiness gaps Build a decision matrix mapping platform capabilities to agentic AI use-case features Design and implement an observability and token-monitoring layer to measure value generation Define the data layer and access model to Enterprise Systems for agent use Build and maintain a master catalog of tools and MCP servers for the agent ecosystem Establish governance for agentic AI applications and define a platform technical roadmap Build CI/CD pipelines for agentic AI applications Stand up usage analytics and cost governance frameworks; ensure support for high-concurrency, auto-scaling workloads Support deployment of real-time-reacting AI agents Must-Have Skills Hands-on experience building agentic/multi-agent AI systems (LangGraph, AutoGen, CrewAI, or equivalent) Practical experience with Dataiku, Azure AI Foundry, and/or Microsoft Copilot Studio Familiarity with MCP (Model Context Protocol) servers and tool/agent orchestration Experience designing observability and token-usage monitoring for agent workloads CI/CD pipeline experience for AI/ML applications Enterprise systems integration experience (APIs, data access layers) .