Artificial Intelligence Jobs in Santa Clara, CA

Responsible for managing the product life cycle and safety of NVIDIA's self-driving software, ensuring timely delivery and compliance with ISO 26262 by collaborating with engineers and stakeholders.

Lead the evolution of HR tech by integrating Workday with AI-driven solutions, developing automated workflows, and ensuring user experience across HR systems.

Lead AI engineering teams to develop and deploy AI-powered products. Oversee AI software development, partner with cross-functional teams, and drive innovation in banking AI solutions.

The Staff Product Designer will create AI-powered design solutions, collaborating with clients to transform user needs into functional UI/UX, and leading strategic design initiatives for ServiceNow deployments through prototyping and stakeholder engagement.

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 role involves leading the architecture and development of evaluation tools for AV models, focusing on performance measurement and visualization, while collaborating with various teams to optimize data usage and ensure model efficacy.

The Senior ML/AI Engineer will enhance developer productivity for AV engineers at GM by designing, implementing scalable, reliable systems and mentoring team members.

Serve as primary legal partner for AI and software teams, ensuring compliance with privacy laws and advising on product development, data governance, and legal frameworks.

Design and develop AI/ML solutions, focusing on scalable software and user experience, while collaborating across teams to integrate generative AI technologies.

As a Senior Lead AI Engineer, you will design, develop, and deploy AI software while partnering with cross-functional teams to enhance customer interactions and business operations at Capital One.

Design and implement highly scalable microservices and platform components for AI detection services. Drive operational excellence and mentor team members.

The role involves researching, designing, and prototyping generative AI solutions for cybersecurity. Responsibilities include building datasets, training models, and presenting findings to various audiences.

The role involves architecting AI applications, delivering scalable solutions, conducting research, and implementing high-quality code for cloud platforms. Requires collaboration and effective communication.

This role involves developing and maintaining CI/CD pipelines, enhancing deployment processes, ensuring infrastructure reliability, and promoting best practices within the AIDR platform team.

Design and run scalable 1-to-many onboarding and adoption programs, build reusable technical assets (playbooks, templates, notebooks), and use product signals to segment customers, measure impact, and feed insights back to Product, Support, and Field Engineering.

The AI Native Account Executive will manage the sales pipeline, achieve revenue quotas, understand client needs, and promote Cloud solutions.

Partner with account teams to design, prototype, and deliver PoVs for ML and GenAI systems using Weights & Biases and CoreWeave. Lead technical demos, architect distributed training/inference, translate business goals into measurable outcomes, and advise on MLOps/LLMOps best practices while feeding customer insights to product and engineering.

The role involves developing and deploying AI-powered products, optimizing performance, and collaborating with cross-functional teams to advance AI technology at Capital One.

Lead design, development, deployment, and support of large-scale AI systems (foundation model training, LLM inference, similarity search, guardrails, observability). Partner with cross-functional teams, introduce LLM optimization techniques, and shape technical vision and roadmap for foundational AI platforms to deliver scalable, responsible production AI capabilities.

The role involves leading AI product development, working with cross-functional teams to enhance AI systems, and optimizing large-scale production AI systems.

The role involves partnering with cross-functional teams to deliver AI-powered products, leveraging AI technologies, and pushing research developments into real-world applications.

Lead the design, development, and deployment of AI-driven products focusing on large language model optimization and integration. Collaborate with cross-functional teams to enhance Capital One's AI capabilities.

Lead the design and implementation of Workday solutions, collaborate with HR and IT teams, and ensure system optimization for HR processes.

The role involves leading a team to build AI-enabled data features, leveraging machine learning, analyzing large datasets, and collaborating across teams to drive product innovation.

The Sr. Distinguished AI Engineer at Capital One will lead the development and deployment of AI systems and collaborate with cross-functional teams to enhance customer experiences through AI solutions. Responsibilities include designing and supporting AI components and optimizing production AI systems.