Role Overview Builds and enhances AI-enabled features within AI Launchpad — model integration, prompt/workflow design and evaluation — and works with the AI Agent & Marketplace POD to keep Launchpad AI features compatible with the Agent Marketplace's Model Context Protocol (MCP) and Agent-to-Agent patterns as they mature. Key Responsibilities •Develop and enhance AI-enabled Launchpad features, model integrations and prompt/workflow configurations (Schedule A.4). •Run AI evaluations and experiments; produce evaluation outputs, prototypes and technical recommendations for ADM. •Build retrieval and data patterns that support AI feature accuracy, grounding and reliability. •Coordinate with the Marketplace POD's Agentic AI Engineer so Launchpad AI features can interoperate with MCP-based tool/context patterns as the Marketplace scope matures (Schedule B.6, B.7). •Support AI-related technical documentation and analytics for Launchpad features. •Assist with testing, defect triage and stabilization of AI-enabled components. Required Skills & Experience •4+ years’ experience building applied ML/LLM-powered features in production software. •Strong Python skills; experience with LLM SDKs/frameworks (OpenAI/Anthropic APIs, LangChain, or equivalent). •Practical experience with prompt engineering, retrieval-augmented generation (RAG) and model evaluation methodology. •Working understanding of API-based service integration and data pipelines. Preferred / Nice-to-Have •Familiarity with Model Context Protocol (MCP) concepts, tool-calling and agent orchestration patterns. •Experience with enterprise data-source connectors (SharePoint, Teams, Outlook, Microsoft Graph). •Exposure to agent evaluation, safety testing or hallucination/grounding assessment. Collaboration & Reporting Works day-to-day with the Launchpad Tech Lead and Flex Specialist; cross-collaborates with the Marketplace POD's Senior Agentic AI Engineer on shared AI patterns, subject to each POD maintaining its own Backlog and Sprint Commitment (Section 2.3)