Top AI Jobs in San Francisco Bay Area, CA

The AI Forward Deployed Engineer designs and deploys AI-driven solutions, collaborates with customers, develops integrations, and enhances automation technologies.

The AI Transformation Strategist will engage with VP and Director level leaders to drive AI transformation, develop agent experiences, and manage change in technology and operations.

The Director, AI Platforms leads the AI platform strategy, overseeing adoption and evolution of Copilot and Halo platforms, while ensuring operational success and governance frameworks.

The Senior AI Solution Engineer leads customer engagements, from discovery through deployment, integrating AI solutions in industrial environments and fostering relationships with stakeholders.

As a Senior AI Engagement Manager, you'll manage AI initiatives with clients in life sciences, driving project delivery and strategic advisory conversations while using AI tools for efficiency.

The Senior Software Engineer will develop AI-powered product features, focusing on large language model workflows, collaborating in an agile environment, and mentoring junior engineers.

The AI Business Operations Lead at McAfee will drive AI adoption, manage the GenAI roadmap, and ensure measurable business value from AI investments. Responsibilities include overseeing technical project management, coordinating cross-functional dependencies, and delivering reports on AI initiatives. The ideal candidate should have 8+ years in business operations or program management with a focus on technology or AI, excellent communication skills, and project management expertise.

The Senior Databricks AI/ML Engineer will design and deploy AI/ML solutions in the insurance sector, focusing on Databricks architecture, data pipelines, and MLOps workflows, while collaborating with various teams to operationalize models and optimize processes.

This role involves defining and managing the AI platform's roadmap, collaborating with cross-functional teams to integrate AI capabilities, and ensuring product quality and reliability metrics.

The role involves defining product strategy for Conversational AI, prioritizing features, and collaborating cross-functionally to enhance AI capabilities and customer engagement.

Assist in designing high quality AI conversation models for customer contact centers. Collaborate with teams to build solutions that meet business objectives and maintain AI model quality.

The role involves managing product development in AI, overseeing cross-functional teams, defining product vision, and engaging with stakeholders to deliver AI-enabled solutions.

The role involves designing and implementing scalable AI systems, data pipelines, and knowledge architectures. Responsibilities include integrating LLMs with retrieval mechanisms, curating training data, and collaborating with AI teams to enhance AI applications.

The role involves leading the development of AI Data Services, defining offerings, building delivery and quality systems, ensuring customer outcomes, and establishing credibility in expert data.

The Senior Vice President of AI and Transformation will develop and deliver strategies for integrating AI, analytics, and automation into processes, ensuring they meet regulatory standards. This role involves partnership with leadership to enhance service quality and governance principles for responsible tech use.

The Senior AI/ML Engineer will design, build, and deploy Generative AI and ML platforms, ensuring compliance and high performance. Responsibilities include developing foundational services, overseeing model training infrastructure, and mentoring junior engineers.

The Senior Generative AI Engineer will design and deploy AI/ML solutions, focusing on Generative AI systems and their operational excellence across various sectors like R&D and Clinical Trials.

The AI Engineer (GTM) will architect AI systems to enhance go-to-market operations, automating workflows, improving marketing and sales efficiency, and supporting customer growth strategies.

The Full Stack AI Engineer will integrate AI capabilities into PerfectServe's platform, design AI architecture, build production features, and advise on AI solutions, with a focus on improving healthcare communications and outcomes.

As an Agentic AI Analyst, you'll analyze agentic AI applications, evaluate customer use cases, monitor agent performance, and support cross-functional team collaboration for customer success.

You will lead the AI transformation pod, identify AI opportunities, collaborate with stakeholders, and manage product development from conception to deployment.

Lead the strategy and execution of AI-enabled products, collaborating with teams to improve usability and user engagement through data-driven insights.

The Manager of AI Engineering will lead a team, drive AI initiatives, collaborate across departments, and ensure project delivery while mentoring engineers.

Lead product development for an AI-driven negotiation platform, owning customer-facing UX, agent workflows, and internal tools. Collaborate with engineers, write concise requirements, iterate quickly, and maintain a high quality bar to deliver production AI features.

Design and develop instructor-led, virtual, and digital learning using AI-enhanced tools; create storyboards, assessments, multimedia video and avatar assets; manage projects, stakeholders, and LMS publishing.