Jacob Williamson

About Jacob Williamson

I\'m a Senior AI Engineer and Creative Technologist who builds AI systems that solve real-world problems at scale. Over the past 3+ years at Microsoft Research, I\'ve architected and deployed LLM-powered applications, multi-agent systems, and AI prototypes that have been productized by Azure and demoed by Microsoft leadership at major conferences.What I do: I bridge the gap between cutting-edge AI research and practical applications that impact all types of users. My work spans from building Model Context Protocol servers that democratize access to complex research models, to engineering full-stack AI platforms that reduce computational requirements from hours to minutes.My approach: I believe the most powerful AI applications don\'t just showcase technical capability—they solve genuine problems and enhance human productivity. I build AI tools that enable rapid prototyping and turn previously impossible ideas into working demonstrations in days rather than months.Background: My unique combination of technical depth and communication skills comes from my interdisciplinary journey—from science journalism (Johns Hopkins) to teaching at MIT, to leading AI development at one of the world\'s premier research institutions. This blend allows me to translate complex AI capabilities into compelling narratives and practical solutions.Current focus: Building production-grade AI systems, developing novel prompting techniques, and creating tools that make sophisticated AI accessible to developers and researchers worldwide.Always interested in connecting with fellow AI engineers, researchers, and anyone passionate about building beneficial AI systems.

Experience

1. Senior Ai Engineer Creative Technologist

   Microsoft

   Feb 2022 — Present

   Leading engineering initiatives to build cutting-edge AI prototypes and production systems at one of the world\'s premier research institutions.Key Achievements:Product Development: Lead engineering team building LLM-powered prototypes that have been demoed by Peter Lee and other Microsoft Research leadership at major conferences and productized in collaboration with AzureMCP Server Innovation: Invented and evangelized 0-1 development of a Model Context Protocol (MCP) server that connects GitHub Copilot to complex research models, enabling rapid prototyping with previously difficult-to-access AI/ML tools. Released by Azure and featured at MSFT //Build 2025.BioEmu Research Platform: Engineered full-stack AI application that democratizes biomolecular analysis by replacing expensive computational simulations with AI-powered predictions powered by BioEmu. Achieved real-time molecular visualization while reducing computational requirements from days to minutesMulti-Agent Systems: Architected novel multi-agent system with advanced prompting techniques and structured data processing, achieving significant latency improvements and enhanced citation accuracy for enterprise applicationsTechnical Leadership: Introduced 3-week sprint methodology that accelerated prototype delivery for leadership evaluations and product pitches. Mentor junior team members while contributing hands-on to code repositories and system architectureCross-Functional Impact: Collaborate with product managers, researchers, and business stakeholders to align technical implementations with strategic objectives across multiple concurrent projectsTechnologies: Python, JavaScript, C#, React.js, Flask, Docker, Azure, LLMs, Multi-agent systems, REST APIs

Skills

• Creative Problem Solving
• Environmental Policy
• Analytical Skills
• Environment, Health, and Safety (Ehs)
• Environmental Science
• Writing