Artificial Intelligence Jobs in Santa Clara, CA

The Vice President for AI oversees the implementation of AI across Technology and Products, driving innovation while ensuring security and governance. They lead AI initiatives, develop strategic partnerships, and foster an AI-driven culture within the organization.

The role involves designing and implementing AI/ML solutions, leading teams, mentoring staff, and managing project delivery while ensuring client satisfaction.

As a Senior Associate in Audit and Assurance, you'll evaluate AI solutions, manage AI/ML controls, and enhance transparency in reporting. Responsibilities include data analysis for governance strategies, guiding compliance practices, and contributing to innovative thought leadership in AI governance.

Lead the design and implementation of enterprise AI/ML solutions, oversee project performance, mentor leaders, and ensure compliance with Responsible AI.

Lead development and implementation of AI governance frameworks, assess risk and controls, oversee compliance program execution and controls testing, advise clients on regulatory compliance, present to executives, apply systems thinking, and coach teams to deliver validated outcomes in AI/ML governance.

Lead an AI engineering team to design, build, deploy, and optimize large-scale generative AI systems. Oversee foundation model training, LLM inference, similarity search, guardrails, evaluation, observability, and make strategic build-vs-buy decisions. Drive technical vision, roadmap, and talent development while ensuring scalable, cost-efficient, and responsible AI production systems.

Lead design, develop, deploy, and support foundational AI systems (LLM training/inference, similarity search, guardrails, observability). Partner cross-functionally to optimize scalability, cost, latency, and throughput, apply state-of-the-art research to production, and shape long-term AI platform roadmap.

The AI Governance Manager at PwC will lead teams in assessing governance and risk frameworks, mentor junior staff, and enhance project delivery through innovative methodologies. The role involves maintaining compliance standards and building client relationships using advanced analytics and technology resources.

The role involves designing and developing AI software solutions, collaborating with cross-functional teams, and optimizing large-scale AI systems for performance and scalability.

The Senior Lead AI Engineer will develop and support AI software components, partner with cross-functional teams, and enhance AI systems performance. Responsibilities include designing, deploying, and optimizing AI models for improved banking services.

Lead the development of AI-powered products by collaborating with cross-functional teams, designing AI components, and optimizing models for performance and scalability.

In this role, you will lead AI projects, collaborating with cross-functional teams to develop and deploy advanced AI solutions, focusing on LLM inference and model optimization.

Design and build production-grade full-stack, AI-enabled applications. Develop React/Next.js frontends, backend services on Kubernetes, integrate LLM/AI features, connect data platforms, implement CI/CD, automated testing, observability, and ensure secure, high-performance APIs and services.

The role involves leading security architecture and development for AI Platform, focusing on cryptography, key management, and machine identity. Collaboration across teams is essential to deliver secure solutions.

The Applied Researcher II will work on developing AI foundation models, partner with cross-functional teams, and engage in impactful research to enhance customer experiences using advanced AI techniques.

This role involves developing and implementing testing frameworks for ensuring reliability and performance of AI security controls across platforms. The engineer will expand test coverage and contribute to quality metrics for AI models.

Lead research into vulnerabilities and defenses for LLMs and agentic systems. Perform deep-dive analysis of prompt injection, RAG pipelines, tool integrations, and autonomous agent security; map findings to industry frameworks; develop testing methodologies and publish thought leadership.

As a Sr. Lead AI Engineer, you will design, develop, and manage AI software components, working with cross-functional teams to advance AI applications at Capital One.

Lead AI Engineer responsible for creating and deploying AI solutions, collaborating with cross-functional teams to innovate AI-powered banking products, and driving the technical vision for foundational AI systems.

The Senior Distinguished AI Engineer at Capital One will develop AI-powered products, optimize large-scale AI systems, and mentor engineering teams, driving advancements in AI and ML for better customer experiences.

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

The Lead AI Engineer will develop AI solutions, partner with cross-functional teams, and optimize large-scale production AI systems using various technologies.

Lead AI Engineer to design, build, deploy, and support production-scale vision and foundation-model components (training, inference, vector search, guardrails, evaluation, observability). Partner with cross-functional teams, optimize LLM training/inference for cost/latency/throughput, and help set the technical vision and roadmap for foundational AI systems at Capital One.

The Lead Product Manager will define the product strategy for AI/ML features, collaborating with engineering to deliver innovative solutions, enhancing user experiences, and bridging research with production while making critical decisions in ambiguous situations.

In this role, you will lead AI personalization initiatives, develop AI/ML models for user experience, collaborate across teams, and ensure rigorous development practices.