Top Artificial Intelligence Engineer Jobs in San Francisco, CA

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.

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.

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 role involves partnering with cross-functional teams to develop AI products, designing and supporting AI software components, and optimizing large-scale AI systems for efficiency and performance.

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.

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.

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

The Staff AI Engineer will build and deploy advanced AI systems, focusing on Large Language Models and intelligent agents, to enhance user productivity and optimize customer journeys through intelligent automation.

As a Senior AI Engineer, you will build advanced AI systems using LLMs, develop multi-agent systems, and optimize AI features impacting user productivity.

The Senior Lead AI Engineer will collaborate with cross-functional teams to design, develop, and deploy AI systems, optimizing performance and driving innovative solutions.

Lead the creation of innovative data solutions using generative AI and cloud technologies, guide teams through challenges, and cultivate stakeholder relationships.

Lead development of production-grade generative AI applications, collaborate with cross-functional teams, and build tools for sales efficiency and customer engagement.

Collaborate to design, develop, and deploy AI solutions focusing on Generative AI and autonomous systems, requiring a strong ML engineering foundation.

As a Forward Deployed Engineer, you will implement AI solutions for enterprises, managing customer deployments and driving ROI through customer-focused technical solutions in robotics.

The Machine Learning Engineer will build and deploy data products, collaborate cross-functionally, improve customer experiences, and mentor others in AI methods.

Develop and deploy machine learning models for risk assessment, collaborating with teams to enhance Gusto's product offerings while ensuring model performance and reliability.

Design and develop scalable AI/ML solutions while mentoring teams and collaborating with cross-functional partners to enhance customer experience through data-driven insights.

Lead the development of AI-powered features in a fullstack role. Collaborate with research and engineering teams to enhance user experiences and integrate new functionalities into the platform.

The Lead Software Engineer will architect and develop a scalable AI platform, mentor peers, and integrate generative AI solutions into enterprise applications.

Lead the development and implementation of machine learning algorithms, guiding teams and ensuring effective AI integration across Atlassian products.

As a Senior Software Engineer focused on AI tools, you will develop applications, automate processes, and mentor junior engineers while ensuring security and efficiency in a high-growth environment.

As a Senior DevOps Engineer, you'll enhance our cloud infrastructure by automating deployments, managing multi-cloud environments, and optimizing costs while ensuring security and observability across systems.

The Software Engineer will design and build data infrastructures and pipelines, focusing on AI workflows and optimization for retrieval and query expansion.

Design and build AI-driven developer tools, integrate third-party AI models, mentor engineers, and improve AI coding agents to enhance software development processes.