Artificial Intelligence Jobs in Santa Clara, CA

Lead the design and implementation of AI-native solutions for enterprise clients, driving ROI and enhancing workflows through intelligent automation.

As a Forward Deployed Solution Engineer, you will build, deploy, and iterate AI-native solutions in collaboration with customers, enhancing enterprise AI delivery and performance.

As an AI Platform Engineer, you'll develop and test AI infrastructure, collaborate with teams, implement robust software systems, and lead technical initiatives.

Lead the AI engineering team at GM, developing AI technologies for core platforms. Manage projects and guide engineers in high-performance AI solutions while collaborating cross-functionally.

The AI Senior Software Engineer develops AI systems, optimizes AI applications, collaborates with teams for integration, and leads technical initiatives, while mentoring junior engineers.

Lead product strategy, communicate priorities, guide project development, enhance user satisfaction through research, and develop customer-centric solutions.

Lead the development of internal tools and AI agents, manage integrations across business systems, and drive automation initiatives. Collaborate with various teams to enhance business operations using modern technologies.

The role involves overseeing AI product development, leading a team, making architecture decisions, and driving technical innovation in AI solutions.

The Engagement Manager will drive customer adoption of AI solutions, ensure successful deployments, and build strong relationships with enterprise clients to achieve transformational value with AI tools.

The Investor role involves sourcing and evaluating early-stage investment opportunities in AI and related fields, communicating investment cases, and maintaining strong relationships with founders and investors.

Lead the design of intelligent, AI-driven product experiences, mentor designers, and enhance Xero's design culture and systems.

Lead the design and deployment of AI systems focusing on computer vision and language models to enhance manufacturing processes. Mentor teams and ensure engineering excellence across cross-functional projects.

Lead a team of engineers in developing AI data platform services, focusing on system design, execution, and team culture. Oversee project outcomes and mentor team members.

Lead the development of user interfaces for controlling autonomous drones, collaborating with design and engineering, and enhancing user experience through customer engagement.

The Head of Marketplace Automation & Growth will scale the insurance business, manage systems and strategy, and drive outcomes for the marketplace.

The Senior Product Manager will drive strategy and development of personalization capabilities for Gemini, focusing on user context and preferences to enhance AI interactions.

The Sr. Legal Counsel will provide legal guidance on AI regulations, manage risks, ensure compliance, and represent PayPal in legal matters.

The role focuses on deploying DFT and ATPG solutions, collaborating across teams to solve design challenges using AI, and requires extensive experience in DFT.

The Principal Detection Engineer will develop and implement advanced threat detection systems using AI and ML technologies, optimize detection models, and collaborate across teams to enhance cybersecurity efforts.

The IP Counsel will advise on AI, open source software, and IP transactions, ensuring compliance and facilitating engagement with the open source community.

Lead the technology behind user experiences across ServiceNow's platform, focusing on AI integration and managing a global engineering team of 500+.

The Senior Lead AI Engineer will build AI systems to enhance banking practices, collaborating with diverse teams on AI product development.

The Senior Lead AI Engineer at Capital One will design, deploy, and support AI systems, working with cross-functional teams to innovate and enhance customer interactions while ensuring scalability and performance.

Lead a team of data scientists to develop and improve predictive and generative AI solutions, collaborating with business leaders to drive impact.

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