Artificial Intelligence Jobs in Santa Clara, CA

Lead procurement governance and risk management initiatives, oversee supplier compliance, implement AI tools for fraud detection, and ensure compliance with global regulations.

The VP of Agentic Systems will lead data science research and development, focusing on AI systems to enhance cybersecurity operations, requiring strong leadership and collaboration across technical teams.

The role involves leading corporate venture capital initiatives, sourcing deals, managing investments, and collaborating on AI and ML projects. It requires mentoring and strategic communication with senior executives.

Design, implement and test cloud-based scalable data processing solutions. Lead projects, mentor staff, and engage in cross-team collaborations.

The role involves optimizing large-scale ML infrastructure for autonomous vehicles, conducting analyses, collaborating with teams, and improving system performance.

The Staff Product Marketing Manager will lead the strategic narrative and go-to-market efforts for AI messaging, collaborate with stakeholders, and support sales while delivering executive-level presentations and driving content strategy.

The Senior Lead AI Engineer will develop AI software components, partner with cross-functional teams, and contribute to AI system optimization. Key responsibilities include model training, deployment, and leveraging AI technologies to enhance banking services.

The Senior Lead AI Engineer will develop and support AI software components, lead cross-functional teams, and optimize AI solutions for Capital One's banking systems.

Lead design, build, deploy, and support production AI systems (foundation model training, LLM inference, vector search, guardrails, evaluation, observability). Optimize large-scale model performance and collaborate with cross-functional teams to define technical vision and roadmap.

Lead a team of data scientists to develop AI/ML solutions, leveraging advanced technologies for customer interactions and product innovations. Build and implement NLP models for large-scale applications while collaborating with cross-functional teams.

Design, implement, and deploy scalable ML training and evaluation platforms. Own end-to-end projects, make architectural decisions, drive prioritization, collaborate cross-functionally, and mentor engineers to accelerate autonomous driving model development.

Build and deploy scalable ML training and evaluation platforms, drive technical projects and architectural decisions, collaborate with partner teams, prioritize platform improvements, ensure reliability and performance, and mentor junior engineers.

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

The Senior AI/ML Capacity Engineer will develop capacity planning models, design analytical tools, and collaborate with teams to optimize costs and efficiencies.

The Staff AI/ML Engineer will advance machine learning for autonomous driving by researching and prototyping techniques, collaborating with teams, and publishing findings.

The Lead AI Engineer will develop and deploy AI components, optimize large language models, and improve AI systems performance while collaborating with cross-functional teams.

The Distinguished AI Engineer will develop and support AI software components, lead AI system architecture, and mentor teams, focusing on scalable AI solutions.

Lead end-to-end technical programs across Arm's Data Center portfolio, unifying hardware platforms, software enablement, and customer engagements while ensuring timely delivery and quality standards across teams.

Design and develop AI conversational agents and intelligent search systems. Collaborate on scalable AI solutions, mentor team members, and enhance existing products.

Lead the development and deployment of AI-powered products with a focus on foundational AI systems, LLM optimization, and team collaboration to enhance user experiences in banking.

Lead design and deployment of scalable ML platforms and tools, manage complex technical projects, mentor junior engineers, and collaborate across teams to enhance autonomous driving systems.

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.

As a Lead AI Engineer at Capital One, you will design and support AI software, develop LLM and optimization techniques, and collaborate with cross-functional teams to innovate AI products.

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