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

Lead architecture and delivery of Generative AI solutions across Life & Annuities insurance, defining secure, scalable patterns (RAG, vectors, agents), integrating AI with policy administration, underwriting, and third-party systems, and enforcing governance, observability, and compliance while mentoring engineering teams and guiding cloud and data platform choices.

Remote coordinator responsible for contacting policyholders by phone/SMS/email to schedule appraisals, assist homeowners with a photo-capture app (ASSIST), update work order statuses, meet productivity and quality goals, prioritize tasks, and report unusual situations to management.

Lead business analysis across the project lifecycle: elicit and document requirements, design solutions, support testing and implementation, manage scope and risks, facilitate stakeholder workshops, resolve issues, serve as LifePRO underwriting SME, and mentor junior analysts.

Lead end-to-end funnel analytics and optimization for SMB lending, identifying friction and bottlenecks, designing measurement frameworks, running experiments (A/B testing), and partnering with Risk, Operations, Product, Engineering, and AI teams to deploy automation and AI solutions that improve conversion, cycle time, and customer outcomes while managing risk.

Lead enterprise IT audit strategy and execution for insurance and financial systems. Oversee audits of core insurance platforms, financial systems, cybersecurity, cloud, IAM, SDLC, and regulatory compliance. Advise executives and regulators, manage remediation, prepare Audit Committee reporting, and mentor IT audit staff.

Lead design and build scalable autonomous and semi‑autonomous multi‑agent AI systems. Implement RAG pipelines, tool‑calling agents, memory, observability, and AgentOps. Ensure production readiness, safety, governance, and secure data handling. Provide technical leadership, mentor engineers, and shape platform standards across teams.

Lead Data Engineer builds and maintains scalable data pipelines and lakehouse/warehouse platforms (Databricks) to support analytics, BI, reporting, and AI. Responsibilities include data modeling, ETL/ELT, medallion architecture, orchestration and monitoring (Airflow/Cron), performance tuning, CDC/incremental loads, data quality, and leading/mentoring a team while collaborating with stakeholders and maintaining documentation.

Design and lead end-to-end GenAI/AI solutions for healthcare clients including data ingestion, model development, deployment, monitoring, RAG/agent architectures for unstructured clinical data, ensure HIPAA/security/compliance, drive ROI-aligned reference architectures, support pre-sales and client workshops, and mentor engineering teams.

Manage end-to-end sourcing for professional services categories including RFx creation, supplier identification and evaluation, commercial negotiation, and MSA/SOW contracting. Partner with stakeholders, conduct market research, maintain project trackers, ensure compliance, and deliver sourcing initiatives from requirements through contract execution.

Hands-on engineering role to design, build, and maintain scalable ETL/ELT data pipelines, data warehouses and lakes, and data models. Optimize batch and near-real-time processing, implement query optimization and data quality checks, support AI data workflows, and collaborate with architects, analysts, and stakeholders.