Teams at Code and Theory

Lead solution architecture for Workfront implementations, ensuring designs meet governance and scalability standards. Facilitate technical design sessions, validate requirements, define architecture across Workfront, Fusion, AEM and integrations, approve agency designs, perform impact analysis, oversee configuration and QA, and resolve complex integration challenges.

Hands-on technical leader setting architectural vision for cloud and backend systems, directing DevOps and data engineering practices, building AI-powered engineering workflows, and leading a matrixed team to improve quality, velocity, and scalable data infrastructure.

Design, build, and deploy enterprise AI applications powered by LLMs. Develop and optimize multi-agent systems, RAG, and prompt engineering solutions; fine-tune and evaluate models; create reusable Python libraries, scalable APIs/microservices, and integrate AI with enterprise systems and cloud platforms. Provide technical leadership and mentor engineers.