Build and deploy AI and machine learning solutions for clients, moving rapidly from prototypes to scalable production systems. Responsibilities include generative AI, AI agents, retrieval-augmented generation, model evaluation, enterprise integration, software engineering, cloud deployment, testing, monitoring, and communicating technical recommendations to business and technical stakeholders.

Leads end-to-end AI and data science consulting engagements, from problem framing and prototyping through production implementation. Combines hands-on development, solution architecture, code review, and technical troubleshooting with client advisory, team leadership, mentoring, business development, and executive communication. Translates ambiguous business challenges into scalable AI, machine learning, optimization, and data strategies while managing multidisciplinary delivery teams and contributing to thought leadership.