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.
• Robust 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 maint