Artificial Intelligence Jobs in Fremont, CA

The Sr Solution Architect designs and communicates technical solutions for public sector clients, focusing on application development, AI, security, and integration strategies while managing pre-sales activities and collaborating with cross-functional teams.

Design AI-first implementation experiences, collaborate with cross-functional teams, and drive customer pilots to enhance ServiceNow's offerings and reduce deployment friction.

Manage client service accounts, lead and develop teams, deliver top-quality results using technology and data for Deal focused solutions, and drive client engagement.

Drive and deliver initiatives to enhance developer productivity through AI-driven solutions and lead complex technical challenges in Developer Experience.

Lead a team to develop AI-powered products, oversee design and deployment of AI software, attract top talent, and contribute to AI systems' vision.

Lead architecture and development of security features for AI platform, focusing on cryptographic services, identity management, and cross-team collaboration.

Develop and optimize AI models and algorithms while engineering data solutions in a collaborative environment to improve healthcare outcomes.

Lead a team of engineers to develop ML infrastructure for autonomous vehicles, ensuring high-quality standards and fostering team growth.

Design and implement scalable ML infrastructure solutions, mentor junior engineers, own technical projects, and collaborate across teams to solve complex AI/ML problems.

As a Senior AI/ML Engineer, you'll enhance developer productivity by leading CI solutions, mentoring engineers, and implementing scalable systems.

The Principal AI/ML Engineer will lead the AV ML Infra team at GM, focusing on developing scalable ML infrastructure and guiding cross-functional collaboration while driving technical projects from inception to completion.

The Staff AI/ML Engineer will design and implement scalable ML infrastructure solutions, lead projects, mentor peers, and enhance ML productivity at GM.

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 Senior AI Engineer, you'll develop ML and Generative AI models, ensure integration with enterprise applications, and manage large datasets while collaborating with teams and mentoring others.

The Sr. Product Manager will drive product initiatives and roadmap for an enterprise self-service AI product, oversee product development, and collaborate with technology teams.

The Senior Product Manager will lead the development of data-driven AI products, ensuring they meet customer needs while collaborating with engineering, data science, and go-to-market teams.

Design and deploy advanced machine learning and Generative AI models, lead projects, and ensure operational viability. Collaborate with teams to deliver solutions.

You will partner with cross-functional teams to deliver AI-powered products, design and develop AI software components, and introduce optimization techniques.

Lead product strategy and development for AI solutions in healthcare. Collaborate with design, engineering, and AI teams to deliver impactful clinical tools.

Engineer II will design, develop, and deploy scalable AI/ML systems, ensuring integration with Generative AI and cloud infrastructure for analytics and decision support.

Leads AI Foundations & Responsible AI product team, driving vision, strategy, and governance for AI platform products, while fostering collaboration and innovation across teams.

Lead transformation into an AI-native company, collaborating with engineers to build and validate scalable product solutions, ensuring customer insights inform development.

The VP of AI Platform Strategic Operations will lead operations and strategy for the AI Platform, partnering with executives to drive business excellence and transformational initiatives.

Manage AI model development and validation, lead large projects, provide strategic client interaction, and foster high-performing teams for operational excellence.

Develop and enhance machine learning models, mentor juniors, maintain standards, and build client relationships while navigating complex situations.