Top AI Jobs in San Francisco Bay Area, CA

Lead the development and deployment of AI-powered products with a focus on foundational AI systems, LLM optimization, and team collaboration to enhance user experiences in banking.

As a Lead AI Engineer at Capital One, you will design and support AI software, develop LLM and optimization techniques, and collaborate with cross-functional teams to innovate AI products.

As a Senior Lead AI Engineer, you will design, develop, and optimize AI systems while collaborating with a cross-functional team to implement AI-driven products.

As a Lead AI Engineer, you will design and develop AI components, collaborate across teams, improve performance, and contribute to Capital One's AI vision.

The Senior Lead AI Engineer will design and develop AI-driven products, enhance scalable AI systems, and collaborate with cross-functional teams.

Lead design, build, and deploy production-scale generative AI and agentic systems: foundation model training, LLM inference, vector search, guardrails, evaluation, observability, and performance optimization across cloud infrastructure.

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.

The consultant will develop solutions to business problems by leveraging AI, conduct market research, and drive strategy through data analytics and communication with clients.

Own and scale strategic alliances with leading LLM and foundation model providers (Anthropic, OpenAI, etc.). Build partnership GTM, co-sell motions, executive relationships, joint solutions and integrations, drive partner-influenced pipeline and revenue, and enable product and field teams on AI observability solutions.

Research, design, and deploy multimodal AI models (WSI, genomics, spatial omics, longitudinal records) for precision medicine. Lead algorithmic innovation, collaborate with life-sciences partners on biomarker and CDx solutions, ensure regulatory alignment, and publish peer-reviewed research while delivering production-grade model deployments.

Lead and scale AKASA's compliance and AI governance: own HITRUST, SOC 2, and HIPAA programs; operationalize NIST AI RMF; drive automation-first GRC and continuous control monitoring; manage policy lifecycle, vendor risk, customer audits, and sales security support; partner with Engineering, Legal, and Security.

Lead strategy, roadmap, and execution for AI-powered fintech products. Own end-to-end product lifecycle, mentor product managers, build ML/LLM-driven experiences (copilots, chatbots, recommendations), drive PLG and automation for growth, ensure responsible AI and compliance, and launch products across regions.

Lead strategy and roadmap for AI Access products that let publishers control agent access, deliver specs and launches, partner with engineering, design, research, GTM, and BD, and represent the product externally to publishers, AI labs, and developers.

The Senior AI Product Engineer will develop AI features integrated into products, focusing on user experience, full-stack development, and collaboration with AI engineers, product managers, and design teams.

The Applied Research Engineer will enhance AI systems through research and experimentation, focusing on information retrieval and reasoning strategies, collaborating with engineering teams to transition validated methods into production.

Lead development of AI-powered features and scalable agent infrastructure for Hex. Partner with Research on model prompting, build experimentation tooling, and deliver performant full‑stack user experiences using web and backend systems. Mentor engineers and drive major product initiatives.

Lead and deliver large-scale AI/ML programs and the next-generation Generative AI platform. Build and grow a world-class TPM discipline, manage cross-functional delivery, mitigate technical risk, and drive execution across product, engineering, design, and data science to achieve business impact in regulated environments.

Lead product strategy and execution for enterprise AI/ML and Generative/Agentic AI platforms. Drive capabilities for model training, serving, and developer/data scientist UX, partner across platforms, and deliver business value and adoption at scale.

The Associate Director GLP Quality Assurance ensures compliance with GLP standards in clinical studies, manages vendor audits, and provides quality assurance recommendations. Responsibilities include developing audit plans, conducting audits, and reviewing compliance of CRO study protocols.

Own the AI-first product vision and roadmap for Legal & Compliance enterprise applications. Design and deliver generative-AI features, AI agents, MCPs, and RAG-powered workflows across CLM, matter management, e-signature, GRC, and e-discovery. Translate legal needs into functional specs, ensure security, privilege protection, and SOX-aligned controls, run POCs and vendor evaluations, and drive adoption, change management, and metrics for AI-enabled legal operations.

In this role, you will design and deploy advanced machine learning and Generative AI solutions, leading projects from conception to deployment while mentoring junior team members.

The AI Engineering Specialist will oversee project tasks, manage expectations, mentor junior members, and design scalable AI systems while working with advanced AI models and ML pipelines.

The Senior Engineer collaborates with teams, designs and implements technical features, writes production-ready code, and ensures high-quality deliverables, while also engaging in research and learning on new technologies.

The Senior Partner Strategy Manager will develop and execute global go-to-market strategies to enhance developer ecosystem engagement and adoption of Cloudflare's services through partnerships and collaboration.

The Distinguished Architect will provide technical leadership in AI, guide infrastructure discussions, and collaborate with stakeholders on AI observability solutions, requiring extensive experience and strategic thinking.