Top AI Jobs in San Francisco Bay Area, CA

Lead the development of AI solutions on the Salesforce platform to optimize business operations, automate workflows, and enhance organizational efficiency through generative AI.

Lead the development of AI-powered trading systems, focusing on building pipelines, enhancing research with AI, filtering signals, and managing infrastructure for data processing in a fast-paced trading environment.

As VP of Engineering and AI Innovations, lead software development for AI products, enhance features, and manage product evolution in a team-first culture.

The Lead Pre-Sales AI Solutions Engineer will design and build AI applications for enterprise customers, effectively communicating AI value and integrating with business processes.

The role involves architecting scalable backend systems for real-time evaluations, integrating with streaming data, and building intervention layers for AI applications. You'll design frameworks and operationalize vector databases while ensuring low-latency service performance.

The Principal, Business Development - Physical AI will develop and execute the Go-To-Market strategy, identify innovative partnerships, drive revenue, and evangelize the company's ecosystem in the Physical AI domain.

Seeking Applied Scientist to build scalable AI systems for estate planning, focusing on production-grade applications and document understanding using advanced AI models.

Lead technical pre-sales engagements, design tailored solutions, demonstrate platform capabilities, assess customer needs, and expand relationships within life sciences and health technology.

The role involves building AI-powered fashion automation systems using Clojure and ClojureScript, managing workflows, data models, and integrating LLMs for product recommendations and content generation.

The Lead AI/ML Engineer evaluates emerging technologies, leads teams in adopting solutions, and provides technical leadership while mentoring junior specialists.

The AI Engineer will develop, deploy, and optimize AI solutions using Google's Gemini, working with machine learning models and data pipelines in a client-focused environment.

Create engaging mini apps and games using AI prompts, test concepts, and collaborate with the Sekai team. Work remotely on interactive content for users.

The Enterprise Account Executive drives growth through AI and ML SaaS solutions in the food and beverage industry, managing complex sales cycles and building relationships with key stakeholders.

Design and implement AI-powered solutions for document extraction and financial reasoning, focusing on ML pipelines and application of LLMs.

Join Uplane as a founding AI engineer to develop scalable AI systems. Responsibilities include building AI models, managing databases, and ensuring product alignment with user needs.

The AI Marketing Strategist will manage client relationships, advise on digital marketing, execute projects, and implement technology solutions to enhance marketing value.

The Forward Deploy Engineer collaborates with sales to design and implement proofs of concept (POC) for enterprise clients, focusing on integration and workflow optimization while providing product feedback to improve offerings.

The Senior AI Quality Engineer ensures AI applications are reliable and safe in mission-critical environments, building custom testing frameworks and evaluating AI system performance through all development phases.

The AI Director will oversee ML bot development and implementation, identify AI opportunities, educate teams, and prototype AI solutions.

Lead the end-to-end product development process, conduct market research, collaborate with cross-functional teams, and manage product roadmaps based on customer insights and analytics.

As Lead Edge AI Engineer, you'll architect edge-AI pipelines, build developer-friendly APIs, optimize performance, and mentor engineers while collaborating on decentralized AI solutions.