Leads client engagements involving data architecture, cloud-native data pipelines, AI models, AI agents, and generative AI solutions. Designs and deploys scalable platforms using AWS, Databricks, Snowflake, Python, and related technologies. Guides discovery, architecture decisions, roadmaps, proposals, and client relationships while mentoring engineers and overseeing delivery. Ensures data quality, reliability, security, monitoring, and alignment with project goals, timelines, and budgets.

Lead client engagements across software architecture, engineering delivery, and business development. Design scalable cloud-native systems incorporating APIs, data platforms, AI/ML, LLMs, and RAG. Guide technical teams, facilitate client discovery, shape proposals, manage delivery risks, and ensure successful outcomes. Mentor engineers, contribute to hiring and practice development, and maintain hands-on technical credibility while building trusted client relationships.

Lead client-facing architecture and delivery of secure, cloud-native applications using C#, .NET, and Microsoft Azure. Modernize legacy systems, guide distributed engineering teams, establish DevOps and infrastructure practices, and provide hands-on architecture, coding, troubleshooting, and technical leadership. Drive responsible AI-assisted and agentic development workflows, including human review and production hardening. Support discovery, workshops, proposals, technical sales, account growth, mentoring, hiring, and development of reusable Azure, .NET, modernization, and AI engineering practices.