- Design and build agentic AI systems that automate complex, multi-step workflows across ICON's software platform
- Develop LLM-powered features and products using state-of-the-art foundation models and APIs (e.g. Anthropic, OpenAI)
- Architect and implement multi-agent pipelines, tool-use systems, and Model Context Protocol (MCP) integrations
- Build robust RAG systems including document ingestion, chunking strategies, embedding pipelines, and vector retrieval
- Collaborate with software and domain teams to identify high-leverage AI automation opportunities and translate them into shipped products
- Own the full development lifecycle of AI features: prototyping, evaluation, deployment, and iteration
- Serve as a technical resource and informal mentor on agentic AI best practices across the engineering organization
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