Top AI Jobs in San Francisco Bay Area, CA

Lead and deliver audits of financial statements for digital assets, evaluate governance, compliance, and risk management, apply advanced auditing and technical accounting skills, manage and coach teams, communicate findings, validate outcomes with clients, and model professional standards.

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 Senior Solutions Engineer partners with account teams to solve enterprise customer problems, deliver product expertise, and lead value-based demonstrations to drive sales success.

The Senior Accountant will oversee accounting functions, manage month-end closes, perform technical accounting analysis, support audits, and ensure accurate financial reporting.

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 Account Executive is responsible for generating sales, maintaining relationships with clients and AWS, managing sales cycles, and promoting market growth.

The Senior AI Product Engineer will develop AI-powered features, ensuring usability for compliance practitioners and collaborating with cross-functional teams on product delivery.

The role involves leading teams in Microsoft Dynamics 365 implementations, mentoring junior staff, managing client accounts, and ensuring project quality and success through strategic planning and innovation.

The role involves developing and deploying AI-powered products, optimizing performance, and collaborating with cross-functional teams to advance AI technology at Capital One.

Lead the design, development, and deployment of AI software components while partnering with engineers and scientists to deliver innovative AI solutions at Capital One.

The role involves partnering with cross-functional teams to deliver AI-powered products, leveraging AI technologies, and pushing research developments into real-world applications.

As the Senior Data Scientist for AI & Model Risk, you will lead AI risk assessments, coordinate with stakeholders, evaluate AI system designs, and ensure compliance with risk management principles in financial services.

This role involves managing executive relationships with partners at frontier AI labs, driving product integration, executing go-to-market initiatives, and aligning internal teams to maximize partnership outcomes at MongoDB.

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 Distinguished AI Engineer will develop and support AI software components, lead AI system architecture, and mentor teams, focusing on scalable AI solutions.

Lead design and implementation of conversational and agentic AI solutions for clients, building voice and natural language interfaces, prototypes, and responsive web front-ends. Conduct user research and usability testing, collaborate with cross-functional teams to integrate AI platforms (Dialogflow, Amazon Lex, Azure OpenAI, AWS Bedrock), and apply human-centered design to optimize contact center workflows and customer experiences.

Lead development and implementation of conversational and agentic AI solutions for contact centers. Manage cross-functional teams, translate client requirements into technical specs, design responsive UIs using AngularJS/React/Vue, run usability testing, apply human-centered design, and mentor junior staff while building client relationships to ensure successful delivery of AI-driven products.

The role involves developing, testing, and validating Generative AI agents and maintaining automated testing standards. Responsibilities include mentoring junior associates, analyzing complex issues, and applying governance controls in AI-driven solutions.

Lead development and implementation of AI-powered contact center and conversational solutions. Guide cross-functional teams to design natural language interfaces using Dialogflow and Amazon Lex, prototype UIs with Figma, conduct usability testing and user research, validate data integrity and security, build stakeholder relationships, and coach teams to deliver high-quality, client-aligned AI products.

As an AI Engineering Manager at PwC, you will lead the design and operation of AI-powered platforms, mentor engineers, and ensure project delivery excellence while focusing on security and scalability.

Own end-to-end LLM fine-tuning and training infrastructure: build preprocessing, training, evaluation, model registry, and iteration loops. Implement parameter-efficient fine-tuning, experiment tracking, benchmarks, and optimizations; collaborate on data strategy and mentor ML engineers.

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.

As a Senior AI Enablement Engineer, you'll design AI infrastructure, build scalable systems, ensure compliance, and promote AI adoption across teams.

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 Machine Learning Scientist will develop AI frameworks for predictive modeling in oncology, collaborating with teams to enhance drug R&D efforts through advanced machine learning techniques and multimodal data integration.