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

Design and implement enterprise integration architecture to connect VistA/MUMPS legacy healthcare systems with modern cloud and enterprise platforms. Lead API, middleware, messaging, and data exchange solutions using HL7/FHIR/REST, evaluate AI-generated interface outputs for accuracy, define integration standards and governance, ensure federal security and compliance, support migration/modernization, recommend integration technologies, and produce technical documentation and troubleshooting across the system lifecycle.

Lead infrastructure architecture and modernization for VA health systems, designing secure hybrid cloud and on‑prem solutions, migrating legacy VistA/MUMPS environments, validating AI-generated infrastructure outputs for compliance, and coordinating with cybersecurity, DevSecOps, and program teams to deliver resilient, highly available, and compliant infrastructure solutions.

Lead and deliver AI-powered modernization projects for VA healthcare by coordinating AI/ML engineers, DevSecOps, legacy system specialists, and agile teams. Manage integrated plans, sprints, risks, ATO/FedRAMP activities, and stakeholder communications to ensure compliant, on-time modernization and VA adoption.

Design, build, and deploy agentic AI systems, orchestration pipelines, and RAG/knowledge retrieval services. Implement scalable backend services, observability, LLMOps practices, and integrations with code repositories and enterprise systems. Mentor engineers and ensure explainable, traceable AI for regulated federal healthcare environments.

Lead end-to-end front-end development for an enterprise Agentic AI platform. Design interactive, explainable UIs that render streaming LLM outputs, code citations, dependency graphs and authoring workflows. Build real-time experiences with WebSockets/streaming APIs, ensure traceability to source code, collaborate with AI engineers and designers, and drive accessibility, performance, and observability across a FedRAMP-aligned federal deployment.

Design, prototype, and productionize applied AI capabilities (LLMs, RAG, agents) to improve reasoning, explainability, and developer productivity. Optimize retrieval, embeddings, multi-agent workflows, and evaluation frameworks; build benchmarks and diagnostics. Collaborate with architects and engineers to ingest enterprise knowledge, refine semantic search, and transition experiments into FedRAMP-aligned production for federal healthcare modernization.

Design and build identity services for AI agents and enterprise systems: authentication/authorization (OAuth2/OIDC/JWT/SAML/mTLS), credential lifecycle, enterprise IdP integrations, secure agent access, developer-facing identity SDKs/APIs, auditability, and compliance alignment for FedRAMP/Zero Trust environments.

Lead AI architecture and strategy for enterprise AI transformation: design scalable platforms using LLMs, RAG, agentic AI, and advanced analytics; establish patterns, governance, and MLOps; guide teams from POC to production while aligning technical roadmaps with business objectives.

Support VA AI modernization by reverse-engineering VistA/MUMPS Prosthetics module functionality to extract business rules, document requirements, create user stories and process flows, and collaborate with stakeholders and technical teams during Agile delivery, testing, and modernization efforts.

Lead the BA practice for a VA prosthetics AI modernization program: extract and validate business rules from VistA/MUMPS, apply human-centered design, define BA methodology, review BA deliverables, liaise with VA stakeholders and governance, mentor BA team, align scrum team backlogs, ensure accessibility and VIP artifact readiness, and support change management and training.