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

Design, build, and support HL7 v2.x interfaces using InterSystems Ensemble/IRIS and Epic Bridges. Translate clinical requirements into mappings, perform Epic-side builds, troubleshoot production interface failures, monitor queues, support Epic upgrades, and ensure HIPAA-compliant data exchange in a 24x7 healthcare environment.

Serve as the executive contact for strategic provider clients, driving profitable growth, renewals, upsells, and client satisfaction by coordinating cross-functional teams, negotiating agreements, presenting value to executives, and managing performance and operational delivery across the Provider portfolio.

The Senior AI ML Engineer will design and implement AI/ML systems for healthcare, manage projects from ideation to release, and mentor engineers. Responsibilities include delivering quality code, driving architectural decisions, and collaborating with cross-functional teams.

Design, research, implement, and deploy scalable deep learning, LLM and generative AI solutions (including RAG and fine-tuning). Advance Responsible AI practices, set research agenda, and collaborate with engineers and scientists to improve model capabilities and reliability.

Serve as the primary client contact for desktop services discovery, transition, and enhancements. Manage desktop support delivery, mentor staff, scope projects, work with product management, improve processes and SLAs, and handle hardware procurement while communicating technical concepts to non-technical stakeholders.

Senior financial leader responsible for strategic financial direction of Optum Care Delivery West Region. Lead regional finance organization, oversee planning, budgeting, forecasting, performance management, M&A, capital allocation, cost management, revenue optimization, analytics, controls, and finance organization design to support care delivery and value-based payment models.

Build and deploy AI-powered, LLM-based solutions in client environments. Implement integrations between models, APIs, and healthcare systems, write production-ready code, support testing and deployments, assist data preparation and prompt configuration, troubleshoot issues, and collaborate with cross-functional teams and clients to deliver scalable, secure solutions and enable knowledge transfer.

Partner with healthcare clients to design, prototype, and deploy production-grade AI/LLM solutions. Lead discovery, architecture, cloud integration, and delivery while troubleshooting distributed systems and driving measurable client outcomes.

Build and deploy AI-powered, LLM-based solutions in client environments: implement integrations, develop production-ready code, support cloud deployments, prepare data and prompts, troubleshoot, and collaborate with client and cross-functional teams while documenting and transferring knowledge to enable sustainable production adoption.

Partner with healthcare clients to discover, design, and deliver production-grade AI/LLM solutions. Architect cloud-native systems, build and deploy ML/LLM applications, prototype rapidly, troubleshoot distributed systems, and lead client engagements to drive measurable business outcomes while collaborating across product, platform, and engineering teams.