The role involves designing, building, and deploying production-grade agentic systems on AWS, focusing on multi-agent workflows, tool integrations, and RAG applications. Key tasks include building agent orchestration frameworks, implementing observability, and integrating agents with enterprise data systems.

The role involves building and shipping AI Physics capabilities in collaboration with the AI/ML team, and turning real customer simulation data into AI-ready pipelines using the core product. Responsibilities also include executing and hardening early Proofs of Concept (POCs) to ensure they are production-ready.

This role defines and governs the architecture powering the enterprise's AI and automation capabilities, covering everything from model hosting and vector databases to API orchestration. The architect ensures AI and cloud solutions are built on secure, performant, and reusable patterns while enabling experimentation within enterprise standards.

The advisor will provide strategic guidance on technical architecture, protocol selection, and commercialization strategy based on hands-on experience building or advising AI products involving agent communication and integrations. This role supports the creation and validation of new venture opportunities focusing on AI agent architectures and coordination protocols.