Top AI Jobs in San Francisco Bay Area, CA

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.

Sell and shape adoption of CoreWeaves AI Runtime Services by driving technical-commercial strategy, proving value with early customers, creating playbooks, and feeding product roadmap. Advise on serving frameworks, batching, execution isolation, throughput modeling, GPU utilization, and SLA structures while partnering with product, infra, and sales teams.

The Head of AI and Data Transformation will lead BlackRock's AI and data strategies, enhancing product capabilities and driving innovative growth across the organization.

As a Senior Combat Designer, you will lead the creation of AI characters and combat systems, collaborating closely with cross-disciplinary teams to achieve ambitious design goals for the game.

The Specialist Seller will drive go-to-market execution for AI Products, architecting deals, building partnerships, and developing success metrics for customer adoption while collaborating with teams for growth. Requires extensive experience in enterprise sales and AI-based selling.

As a Graduate Engineer, you'll design and develop AI agents and features while learning finance operations, coding best practices, and developing APIs in a collaborative environment.

Develop AI agents for finance workflows, design APIs, enhance engineering practices, ensure data security, and facilitate user collaboration.

The Sr. Distinguished AI Engineer at Capital One will lead the development and deployment of AI systems and collaborate with cross-functional teams to enhance customer experiences through AI solutions. Responsibilities include designing and supporting AI components and optimizing production AI systems.

The Senior Lead AI Engineer at Capital One will design, deploy, and support AI systems, working with cross-functional teams to innovate and enhance customer interactions while ensuring scalability and performance.

Lead a cross-functional team to deliver AI-powered banking products, focusing on developing and supporting AI software components and optimizing LLM technologies.

Lead design and delivery of production autonomous agents and agentic workflows: architect orchestration, integrate and optimize frontier LLMs, drive model fine-tuning and evaluation, mentor engineers, and translate business goals into safe, reliable, scalable AI-powered product experiences.

Lead design and delivery of an agentic AI platform: define architecture, standardize agentic workflows, build GenAI SDK/CLI, harden guardrails and observability, optimize orchestration and costs, own Helm/K8s operators for autoscaling, incubate RFCs and proofs of concept, and mentor engineering leaders while evangelizing platform practices internally and externally.

Lead and scale AI engineering teams to design, build, deploy, and support foundational AI systems (LLM training/inference, vector search, guardrails, evaluation, observability). Drive technical vision, build-vs-buy decisions across OSS and SaaS, optimize LLM performance, and attract and develop top AI engineering talent.

As an Associate Technical Onboarding Manager, you will manage the onboarding process for new customers, gather technical requirements, and ensure quality customer experience through project management.

The Staff Data Scientist will identify AI opportunities, develop machine learning models, and provide mentorship while delivering business solutions using data analytics and AI technologies.

Design and build an enterprise generative AI platform: agent orchestration, memory, guardrails, vector search, SDKs, and blueprints. Standardize agentic workflows, optimize orchestration and cost, own Helm/Kubernetes operators, ensure trust and safety, mentor engineering teams, and evangelize platform architecture internally and externally.

Lead product management and program delivery for enterprise software implementations. Manage product lifecycle, stakeholder relationships, reporting, risk, and financial tracking; mentor juniors and align project objectives with strategic goals.

Use advanced analytics, statistical techniques, and machine learning to extract insights from large datasets. Design data solutions and pipelines, build predictive models (R, MATLAB), and apply TensorFlow and Scikit-Learn for deep learning and NLP. Collaborate with teams and clients, deliver quality work, and adhere to firm standards.

As a Staff Applied AI Scientist, you will design and deploy AI systems using LLMs, improve agent performance, and collaborate with engineering to enhance systems for customer impact.

Lead the implementation of customer experience solutions, enhance self-service capabilities, manage product roadmaps, and collaborate with cross-functional teams to optimize performance.

As a Staff Software Engineer, you'll design, build, and test Gusto's core platform services, mentor engineers, and collaborate with various teams to solve complex engineering problems.

As an AI Strategy Associate Consultant, you will leverage AI and data analytics to solve client business problems, conduct research, develop custom strategies, and enhance AI solutions while managing projects and client relationships.