Artificial Intelligence Jobs in San Jose, CA

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.

The Senior Lead AI Engineer will develop, test, and support AI software, design new models, and enhance AI product offerings at Capital One while collaborating across teams.

Lead architecture and technical strategy for AI-driven product quality systems using LLMs and agents. Build scalable evaluation frameworks, detect regressions, generate insights, and drive cross-functional adoption while mentoring engineers and defining standards for trustworthy AI.

Lead technical program management for humanoid robotics research operations. Coordinate researchers, engineers, lab operations, vendors, hardware partners, data workflows, equipment procurement, and multiple concurrent workstreams. Track priorities, blockers, milestones, integrations, and deliverables while communicating status to technical teams and leadership. The role requires technical fluency in AI, machine learning, robotics, Python, and related frameworks, plus English and Mandarin proficiency and in-person work at NVIDIA’s Santa Clara headquarters.

Research and write technically rigorous content about AI, inference, compute, chips, systems, and infrastructure. Responsibilities include long-form analysis, product launches, leadership ghostwriting, customer case studies, technical briefs, social content, and data-driven visuals. The role partners closely with engineers and executives to develop original viewpoints, explain complex concepts, and establish Etched’s technical voice across audiences and channels.

Own product marketing for Veeam DataAI Privacy, including positioning, competitive differentiation, regulatory messaging, product launches, campaigns, sales enablement, analyst engagement, and public speaking. Translate privacy and AI regulations into customer and seller value, inform product and pricing decisions with market insights, and measure impact on pipeline and win rates. Partner closely with product, sales, marketing, executives, customers, and analysts.

Leads product positioning, messaging, go-to-market strategy, launches, segment campaigns, technical content, competitive differentiation, and global sales enablement for FlashBlade//EXA scalable AI and HPC storage solutions. Partners with Product Management, Sales, and Corporate Marketing to drive adoption, revenue growth, and market leadership across enterprise, life sciences, financial services, and academic customers.

Lead AI-powered reporting and insights strategy, design reporting data architecture and pipelines, and implement LLM-powered workflows (RAG, prompt engineering, agentic pipelines). Integrate BI tools and enterprise AI platforms, establish governance for AI outputs, and provide technical leadership to deliver trusted executive insights and scalable self-service reporting.

Design and deploy end-to-end ML models for ranking, recommendations, search, and personalization. Build scalable data pipelines, monitoring, and evaluation frameworks. Collaborate with product, analytics, and engineering to translate business problems into ML solutions and measure impact via A/B tests and online/offline evaluations.

Lead development and implementation of AI legal and compliance frameworks. Conduct cross-functional AI reviews, maintain governance docs (model cards, impact assessments), partner with engineering on transparency and fairness requirements, build incident response and monitoring processes, and scale AI legal review workflows.

Conduct applied research to design, train, evaluate, and deploy AI foundation models and recommendation/personalization systems. Collaborate with cross-functional teams to build models at scale using PyTorch, cloud infrastructure, and open-source tools. Publish research, deliver platform-level code, and drive long-term research agendas to improve customer experiences.

Design, build, optimize, deploy, and support large-scale AI systems (foundation model training, LLM inference, similarity search, guardrails, evaluation, observability). Partner with cross-functional teams, introduce LLM optimization techniques, and contribute to technical vision and roadmap for foundational AI infrastructure.

As a Customer Success Manager, you will lead initiatives to enhance customer outcomes, manage accounts, and collaborate with engineers to optimize our SaaS platform.

As a Product Marketing Manager, you will lead sales enablement and go-to-market programs, manage product launches, support the revenue team, and collaborate on campaign design.

Represent life sciences and technology clients in licensing, collaboration, and commercial partnering transactions. Negotiate patent licenses and collaborations for therapeutics, vaccines, diagnostics, and digital health. Work closely with founders and corporate teams; engage with AI-driven biotech clients. Superior academics and strong oral, written, and interpersonal skills required. Must be barred or eligible to sit/waive into the next bar exam. Submit cover letter, resume, and law school transcript.

Lead cross-functional teams to design, build, and roll out fraud-risk product features and experiments. Define roadmap, KPIs, and A/B tests; integrate AI/ML models, data pipelines, and real-time decisioning to reduce fraud while optimizing user conversion and engagement.

Responsible for architecting and developing AI security infrastructure, optimizing performance and scalability of systems, and driving innovation in a collaborative environment.

Lead strategy and execution for an AI-native product-led motion across AI-native ITSM. Own customer journeys from discovery to enterprise adoption, build telemetry and experimentation frameworks, design onboarding and in-product guidance, develop PQL models, and drive cross-functional initiatives to increase activation, adoption, expansion, and revenue.

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.

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.

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.

As a Senior Lead AI Engineer, you will design, develop, and optimize AI systems while collaborating with a cross-functional team to implement AI-driven products.

As a Lead AI Engineer, you will design and develop AI components, collaborate across teams, improve performance, and contribute to Capital One's AI vision.

The Senior Lead AI Engineer will design and develop AI-driven products, enhance scalable AI systems, and collaborate with cross-functional teams.

As a Senior Data Scientist at Capital One, you will lead AI-powered product development using machine learning technologies, focusing on NLP and large language models to enhance customer experiences.