Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Advises senior executives on enterprise AI adoption and Microsoft cloud transformation. Identifies and prioritizes AI opportunities, develops adoption roadmaps, facilitates executive workshops, defines business value and productivity measures, redesigns workflows, builds stakeholder sponsorship, and coordinates with technical, change management, and governance teams. Establishes dashboards, tracks value realization, addresses adoption barriers, and supports responsible AI scaling across the enterprise.

Design and deploy production-grade Generative AI, LLM, and multi-agent solutions for enterprise clients. Lead AI adoption roadmaps, architecture, integrations, APIs, proof-of-concepts, production deployments, and engineering standards. Advise executives, lead technical teams, and implement responsible AI controls covering security, privacy, governance, observability, and human oversight. Apply Azure and other cloud AI platforms, RAG, MCP, A2A interoperability, LLMOps, evaluation, monitoring, and inference optimization.

Develop and deploy AI models using Python and Azure, advance Agentic AI applications, optimize data workflows, and validate model reliability and scalability. Collaborate with Agile teams to deliver project solutions, provide technical expertise, and stay current with AI and cloud technology advancements.

Leads the design, development, and implementation of full-stack applications using C#, .NET, Angular, Azure, and SQL Server. Collaborates with cross-functional teams, ensures application security, performance, and scalability, applies Git-based version control practices, mentors developers, and stays current with emerging technologies.