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

Manage and expand insurance accounts, driving growth through AI and cloud solutions, while collaborating with internal teams and maintaining client relationships.

Lead development of internal Python SDKs and agentic AI workflows, build scalable FastAPI ML services, maintain CI/CD with Jenkins/GitLab Runners, and use Galileo for model evaluation and observability to productionize autonomous systems.

Lead architecture for a next-generation data layer for Agentic AI: design schemas and knowledge-graph ontologies, architect hybrid Snowflake/Kinetica/NoSQL environments, define ETL/ELT and CDC/streaming patterns, ensure cluster availability and performance, and act as the technical customer-facing lead aligning roadmaps and observability for real-time AI agents.

Lead enterprise EKS consolidation and architecture: assess 20+ clusters, design a multi-tenant golden-cluster standard, define CNI/service-mesh strategy, enforce zero-trust IAM, implement IaC with Terraform, enable resilient ingress and storage patterns, validate via pilot Python workloads, and define lifecycle, DR (Velero/S3), and CI/CD (GitHub Actions runners) governance.

Lead architecture and delivery of scalable, production-grade ML/AI platforms and Python SDKs. Design Agentic AI and multi-agent systems, build FastAPI services, implement CI/CD, observability with Galileo, mentor engineers, and troubleshoot distributed AI systems for high availability and performance.

Design, research, and deliver LLM and GenAI solutions for healthcare SaaS at scale: architect systems, handle healthcare data, implement PEFT and RAG pipelines, ensure responsible AI, mentor teams, and translate technical outcomes to business impact.

The Strategic Account Manager will drive growth in healthcare accounts, build executive relationships, and manage sales cycles while offering AI, cloud, and data solutions.

Design and deliver scalable, production-grade machine learning platforms and Python SDKs; architect agentic and multi-agent AI systems; build FastAPI-based APIs; implement CI/CD with Jenkins and GitLab Runners; establish observability with Galileo; mentor MLEs and drive architectural decisions for cloud-native, distributed AI services.

Design, optimize, and scale multi-GPU infrastructure for GenAI/LLM workloads. Perform GPU profiling and benchmarking, manage Slurm and Kubernetes/OpenShift clusters, enable NVIDIA GPU stack, build GenAI pipelines (fine-tuning, RAG, multi-modal), create IaC templates, and support production deployments and client engagements.

As a Senior Data Engineer, you will design and maintain scalable data pipelines, focusing on architecture, ingestion, storage, and analytics on GCP. You'll collaborate with stakeholders and optimize data structures for performance while ensuring adherence to data governance and compliance standards.