Top AI Jobs in San Francisco Bay Area, CA

The Principal AI Engineer is responsible for establishing AI governance frameworks, overseeing compliance, and advising senior leadership on AI initiatives in a highly regulated environment.

As a Senior Lead AI Solutions Consultant, you will drive revenue by promoting the Braze AI tools, collaborate with stakeholders, conduct AI Academy programs, and serve as a thought leader in AI technologies.

The Staff Quality Engineer at Forge will improve product quality in trading systems, develop test strategies, automate testing, and collaborate across teams.

The Operational Risk Consultant supports issue management for Global Customer Service, evolves risk frameworks, collaborates with stakeholders, and implements improvements.

The Key Account Director, Data & AI Apps will expand client relationships with pharmaceutical companies, driving revenue through the use of Tempus' platform in precision medicine. Responsibilities include developing account strategy, maintaining executive relationships, negotiating contracts, and collaborating with cross-functional teams to deliver value.

The Head of Legal Strategy and Enablement will lead teams in driving strategic alignment and operational excellence in the Legal organization, leveraging technology and data for decision-making and efficiency in legal processes.

Lead GitLab's SMB sales strategy and execution, achieving revenue performance while guiding a high-velocity sales team. Collaborate with various departments to enhance customer experience and implement scalable programs.

The Marketing Specialist will enhance Amazon marketing efforts, manage media strategies, optimize campaigns, and collaborate cross-functionally to drive business growth. Key responsibilities include SEO optimization, budget management, and integrating innovative technologies to improve ad performance and user experience.

The CRM Marketing Technologist at Babylist leads complex lifecycle initiatives, designs scalable solutions, and builds CRM programs across various channels, collaborating with multiple teams to improve execution quality and efficiency.

As an SMB Solutions Architect, you will guide small and mid-sized customers in using the GitLab DevSecOps platform to achieve technical and business goals, collaborating with cross-functional teams and Account Executives to ensure customer success.

As a Staff Product Manager, you'll drive the strategy and success of SIEM products, collaborating with various teams to fulfill customer needs and market demands while focusing on security for SMBs.

The role involves managing product management for AI/ML capabilities, focusing on customer experience, innovation, and leading cross-functional teams.

As an AI Commercial Strategy Manager at PwC, you will execute AI commercialization strategies, lead AI adoption, and ensure alignment with business objectives while providing leadership and mentoring in a consulting capacity.

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.

As a Staff AI Engineer, you'll design and deploy AI systems to automate financial workflows, optimizing architectures and integrating with production systems.

The role involves winning and growing business for Braze AI through collaboration with sales teams and customer relationships, focusing on AI decisioning and its applications in marketing.

The AI Success Manager drives customer success by fostering relationships, managing AI use cases, and ensuring clients derive maximum value from Braze's products through analysis and insights.

Design, build, and scale production LLM, retrieval, and agentic AI systems for compliance automation. Implement evidence-grounded, explainable workflows, optimize for latency/cost/reliability, and embed human-in-the-loop guardrails while collaborating cross-functionally.

Lead applied research on retrieval and reasoning for compliance-focused AI: design and evaluate RAG/agent strategies, build evaluation frameworks and ranking systems, run experiments, debug failure modes, and hand validated approaches to engineering for productionization.

The role involves designing AI systems and products, collaborating across teams, and ensuring responsible AI deployment while optimizing performance and mentoring peers.

Lead the design, development, and implementation of Generative AI applications, ensuring high performance and scalability in cloud-native environments. Collaborate with AI/ML teams to drive innovation and apply best practices in machine learning engineering.

Lead AI Engineer responsible for developing AI-powered products and deploying scalable AI solutions using technologies like LLM and machine learning algorithms. Collaborate with cross-functional teams to optimize performance and support AI systems.

The role involves providing end-to-end legal guidance on product development, AI governance, and technology licensing, supporting product counsel and negotiation with strategic partners.