Top AI Jobs in San Francisco Bay Area, CA

The Senior AI Engineer at RegScale designs and operates AI systems, ensuring reliability and performance while overseeing the data pipeline and compliance integration, alongside improving AI capabilities across the engineering organization.

The Marketing Intern will support the AI/LLM Indexing Program by executing content, PR, and SEO initiatives, ensuring visibility and citation in AI platforms.

The AI Engineer will create technical content, build sample agents, and represent Galileo at events while synthesizing developer feedback for product improvements.

Lead multiple projects/programs in AI solutions, manage teams and client communications, and apply Agile methodologies to ensure timely delivery.

Lead the design and delivery of agentic systems, integrating enterprise tools and data while ensuring security and compliance. Collaborate with clients to optimize business workflows and develop reusable components.

Lead the definition and rollout of AI-powered product features, collaborating with teams to enhance fraud prevention solutions.

Lead the engineering organization for data and AI platforms, focusing on machine learning, generative AI, and operational excellence in development and deployment.

The Principal API Architect will design and govern API standards, ensure secure integration with AI, and define API lifecycles for microservices. Responsibilities include mentoring engineers, promoting operational excellence, and collaborating across teams for successful API outcomes.

The AI Engineer designs, develops, and deploys AI-driven applications for non-data scientists, enhancing decision-making and model accessibility for organizations.

The AI Consulting Director leads client AI engagements, ensuring strategy delivery and exceptional outcomes, while guiding cross-functional teams and managing C-suite relationships.

As a Full Stack Engineer, you will build AI-powered applications, manage client interactions, and apply best practices in MLOps and LLMOps.

The VP of AI will lead NeoWork's AI strategy, ensuring adoption, developing workflows, building capabilities, and enhancing client value through AI integration.

Lead a small, high-velocity engineering team to build GenAI sandboxes, agentic systems, and internal demos. Provide hands-on technical leadership, rapid prototyping, tooling (UIs/APIs), and collaborate with foundation model and platform teams to enable safe, scalable consumption of Member LLMs.

As a Consulting Systems Engineer, you will lead technical pre-sales, design AI and data solutions, and engage with customers to define integrated technology solutions.

The Staff Software Engineer, AI/ML Focus will lead AI product development, ensure system reliability and security, and collaborate with cross-functional teams to innovate tools and products.

As an AI Applications Engineer, you will bridge AI research and implementation, driving experiments, building infrastructure, and releasing products to improve user experience and metrics.

The Director of Artificial Intelligence will define, lead, and implement AI strategies, managing R&D, building teams, and ensuring ethical AI use to drive business outcomes.

As a Curriculum Manager, you will manage content development for the data science and engineering curriculum, collaborating with instructors and teams to enhance learning experiences.

Manage curriculum development for data science and engineering, collaborate with instructors, create content, and drive improvements based on learner feedback.

The role involves defining the vision and strategy of the Outreach AI Platform, prioritizing the roadmap, collaborating with engineering and data science teams, and engaging with customers to refine AI strategies.

As a Staff Machine Learning Engineer - AI Tech Lead, you will lead the design of AI systems for security operations, focusing on scalable architectures, AI safety, and mentoring. Responsibilities include overseeing technical evaluations, production workflows, LLM fine-tuning, and collaboration with teams to enhance AI capabilities.

The role involves developing scalable backend systems in Go and other languages, building high-volume analytics, and designing APIs for ML workflows.

As a Senior AI Product Engineer, you will build scalable services and front-end applications, design APIs, and enhance AI product offerings, focusing on improving user experience and collaboration with engineering teams.

You will build AI-driven finance systems, automate workflows, and partner with the CFO to enhance finance operations and governance using advanced data techniques.

The Manager of AI Adoption will lead a team to enhance customer AI adoption, focusing on measurable business outcomes and workflow integration across various stakeholders.