Top AI Jobs in San Francisco Bay Area, CA

The Senior AI-Enabled DevOps Engineer will design and manage cloud infrastructure, build CI/CD pipelines, support AI deployments, and improve reliability through automation and collaboration with software teams.

As an Intermediate AI-Enabled DevOps Engineer, you will support and improve cloud infrastructure and CI/CD pipelines, automate operational tasks, and monitor system health while working closely with senior engineers.

Lead strategy to embed AI into Yahoo Communications: set AI roadmap, unify tools and governance, advance data-driven storytelling, partner across functions, build AI literacy, and track emerging narrative and discovery trends to future-proof communications.

Lead product strategy for data and AI solutions, drive analytics, manage integrations, and improve decision-making in health-tech.

The Principal Cyber AI Engineer will develop AI security tools and solutions, analyze threat data, mentor junior engineers, and ensure compliance with security standards.

The Senior Manager, Engineering - AI Agents leads engineering for AI Agent software development, managing a team to implement scalable, production-ready systems that enhance customer experience through automation.

The Senior Director, Product oversees AI performance and risk metrics, leading product strategy and execution to improve loss rates and conversion for ecommerce transactions.

Lead the enterprise-wide AI adoption initiative, managing strategies, budgets, and communications across departments while preparing executive presentations and mentoring successors.

You will audit GTM workflows, design AI workflows, maintain AI context layers, train teams on AI tools, and integrate solutions within RevOps.

The Sr. Director Analyst will provide research and advisory on procurement technology, guiding clients in vendor selection, digital transformation, and implementing effective change management in procurement processes.

As a Senior Data Scientist at Ensemble, you will develop advanced AI and machine learning models, focusing on generative AI and predictive analytics to improve healthcare outcomes.

Design, develop, and productionize applied AI systems (RAG, LLM integrations, orchestration, agentic workflows). Ensure safe, reliable outputs with guardrails and monitoring, prototype and scale solutions, mentor engineers, collaborate cross-functionally, run experiments, and maintain testing, documentation, and production support.

Prospect, qualify, and engage safety leaders in industrial sectors to generate opportunities for Account Executives. Build outbound campaigns, manage pipeline, represent the company at events, and provide market feedback to refine messaging and GTM strategy.

The Director of Business Development (AI Services) will spearhead growth in the U.S. AI ecosystem, manage key client relationships, and drive strategic sales initiatives while cultivating long-term partnerships within the AI landscape.

As Director of Strategic Growth, lead growth strategies for AI partners, engage clients, drive revenue, and collaborate on high-impact AI projects.

The Principal Engineer for Generative and Agentic AI will lead the design and development of resilient AI-powered systems for transforming customer interactions and will focus on integrating cutting-edge AI technologies into production-grade applications within the fintech sector.

Develop and deliver AI-driven observability features, collaborate with cross-functional teams, and iterate rapidly to enhance user incident response capabilities.

As a Staff Data Engineer, lead the architecture of a Snowflake-centric data platform, focusing on LLM-based data strategy and AI-driven products, while mentoring engineers and ensuring data integrity and performance.

As a System Software Engineer, you will design communication primitives for AI models, optimize performance for training workloads, and benchmark performance on clusters.

As a Full Stack AI Engineer, you'll build AI applications and products, prototype solutions, and collaborate with founders in a fast-paced environment.

Own end-to-end delivery for AI automation projects: define scope, plan milestones, manage risks, lead client communication, validate technical progress with engineers, ensure quality and handover to operations.

Lead the evolution of AI-native product development at MasterControl by designing AI-enabled workflows, optimizing product operations, and driving AI adoption across teams.

Manage the product development for a cloud cost management platform, driving strategy, user research, feature development, and cross-functional collaboration to enhance product performance and customer satisfaction.

As a Technical Product Manager, you will define product strategy, drive requirements, collaborate with teams, and enhance platform performance for enterprise clients.

Interns will gain practical experience with AI/ML projects, mentorship from senior data scientists, and contribute to impactful solutions for clients.