Top Artificial Intelligence Engineer Jobs in San Francisco, CA

The Principal Data Engineer will architect and lead the development of a Multi-Agent ETL Platform, modernize data platforms, implement data pipelines, and drive innovation with AI integrations.

As a Lead AI Engineer, you will design, develop, and deploy AI systems, collaborate with cross-functional teams, and optimize AI solutions for scalability and performance.

As a Lead AI Engineer, you will develop and support AI software components, partner with teams on AI products, and contribute to the technical vision of AI systems.

The Senior Lead AI Engineer will design, develop, and optimize AI software solutions, leading projects that leverage advanced machine learning techniques to enhance user experiences and operational efficiency at Capital One.

This role involves designing, developing, and deploying AI-powered products, optimizing models, and collaborating with cross-functional teams to enhance customer experience using AI at Capital One.

The Lead AI Engineer will design, develop, and deploy AI software, utilize various AI technologies, and work with a cross-functional team to enhance customer experiences through AI innovations.

The AI Developer Advocate will promote MongoDB's AI/ML capabilities, engage with the community, create resources, and build partnerships.

Lead Data & AI Engineer responsible for architecting and implementing intelligent analytics for a surveillance cloud platform, requiring strong skills in data pipelines, AI model management, and modern cloud technologies.

The software engineer will design and deploy AI-powered automation, enhance user experience, and implement LLM-backed features in collaboration with teams.

The Senior Software Engineer will design and develop AI-powered solutions, focusing on LLM technologies and collaborating with teams to enhance product features.

The role involves designing and implementing AI solutions, collaborating with customers to build scalable AI applications, and providing technical leadership within MongoDB's AI Practice.

The Senior Machine Learning Engineer will build AI-driven customer support products, collaborate cross-functionally, and maintain large-scale ML systems, leveraging modern techniques for real-world impact.

As a Staff Software Engineer, you will enhance developer productivity by establishing AI-driven tools, improving processes, and mentoring teams on AI integration and best practices.

Engineer on the AI Growth team, building user experiences for scientific AI. Responsibilities include product development, customer engagement, experimentation, and optimizing growth strategies.

Design and implement generative AI solutions across departments, mentor junior engineers, and enhance AI model performance while collaborating with cross-functional teams.

Develop and enhance AI agents and backend systems, evaluate LLMs, design prompts, and implement safeguards for Mastercard's AI platform.

The Lead AI Engineer will design, develop, and deploy AI software components, working with cross-functional teams to enhance product experiences and optimize AI systems.

The role involves building user-facing UIs using Vite, React, and Tailwind, developing modular design systems, and collaborating with AI teams.

As an AI/ML Engineer, develop and optimize analytics frameworks to enhance autonomous vehicle development, focusing on automation tools and collaboration with engineering teams.

Lead design and deployment of AI systems, develop agentic components, optimize performance, and mentor others in AI Engineering.

As a Staff Software Engineer in AI, you will design and develop AI solutions to enhance member financial experiences, guide architecture, mentor engineers, and drive initiatives from concept to completion.

Develop advanced ML models for an advertising platform, focusing on performance and scalability. Lead technical strategy and collaboration across teams to enhance campaign automation and optimization.

The Senior AI Engineer will design, build, and scale AI systems, collaborate on AI innovations, and integrate AI capabilities into products, ensuring effective performance and compliance within the organization.

The AI Research Infrastructure Engineer will design, build, and implement AI systems and automated data pipelines for research, focusing on workflow automation and integration with tech stacks.

The AI/ML Platform Engineer will design and scale AI and ML infrastructure, collaborating with teams to deploy machine learning models and enhance user experience across Whatnot's marketplace.