• Lead AI engagements end-to-end: discovery, architecture, delivery oversight, executive updates, and knowledge transfer. • Serve as the primary technical point of contact for client stakeholders, including VPs, CIOs, and CTOs. • Architect agentic systems, RAG pipelines, and AI-augmented workflows across the Microsoft, OpenAI, and Anthropic ecosystems. • Build and maintain the reference architectures, skills, prompts, and MCP servers the team reuses across clients. • Help shape our growing OpenAI and Anthropic practices alongside our Microsoft work. • Pair with delivery leads and engineers on the hard parts — review designs, debug production issues, sharpen evals and guardrails. • Translate between executive strategy and engineering reality.

• Contribute to the development of a high-scale, AI-ready Data Lakehouse optimized for AI Agent operations • Hands-on prototyping of emerging architectural patterns • Maintain high standards for code quality and CI/CD, participating in cross-functional architecture reviews • Build platform-level interfaces for agentic workflows • Develop systems that move beyond basic search into Reasoning-based Retrieval • Implement emerging standards like the Model Context Protocol (MCP) and Agentic RAG

• Define and own the technical roadmap for AI-ready Data Lakehouse • Prototype and benchmark emerging trends in the AI ecosystem • Set the gold standard for code quality and system design • Design platform-level interfaces for Agentic workflows • Build the "Context Fabric" for AI agents • Implement and advocate for emerging standards like MCP

• Use your experience to design features connecting natural language queries with a large corpus of legal knowledge. • Build a data architecture you are proud to highlight. • Use unstructured data to build large scale data sets. • Work on a team dedicated to ML and Data Science with ownership of multiple projects and products. • Collaborate with the Product team to understand new features.