Artificial Intelligence Jobs in San Jose, CA

Lead a team to deliver AI powered products, leveraging machine learning and NLP for customer applications, while collaborating with cross-functional teams.

The role involves partnering with a team to deliver AI products, utilizing various technologies and conducting applied research to enhance customer experiences leveraging AI.

This role involves leading the development of AI-powered products, optimizing large scale AI systems, and mentoring cross-functional teams. It focuses on designing and deploying AI components, contributing to the technical vision, and applying cutting-edge AI techniques.

Lead development and deployment of foundational AI systems: design, build, test, and support LLM training and inference, similarity search, guardrails, observability, and optimizations for scalability, cost, latency, and throughput while shaping technical vision and collaborating with cross-functional partners.

Lead design, build, deploy, and support of foundational AI systems including foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, and observability. Optimize production LLM performance (cost, latency, throughput) and contribute to long-term technical vision.

Lead design, development, deployment, and support of foundational AI systems including foundation model training, LLM inference, similarity search, guardrails, evaluation, and observability. Optimize large-scale AI performance (cost, latency, throughput), partner cross-functionally, and contribute to technical vision and roadmap.

As an Applied Researcher I, you will partner with a cross-functional team to develop AI-powered products, build AI foundation models, and conduct high-impact applied research in machine learning.

The role involves leading a team to develop AI and ML solutions, manage customer interactions, and analyze large data sets using various technologies.

Lead cross-functional teams to develop and deploy AI-powered products, improve AI system performance, and create innovative AI solutions at Capital One.

As a Staff Product Designer at FloQast, lead design strategy for AI-driven product capabilities, mentor teams, and ensure design consistency across platforms while enhancing user experiences and stakeholder communication.

As an Applied Researcher I, you'll partner with cross-functional teams to deliver AI-powered products, build foundation models, and engage in applied research on advanced AI techniques.

The Senior Lead AI Engineer will develop and support AI software components, collaborate with cross-functional teams, and enhance banking experiences through AI systems.

Conduct applied research and build AI foundation models, particularly large language models and agentic AI systems, across design, training, evaluation, validation, and production implementation. Partner with data scientists, engineers, and product managers to deliver scalable AI products. Research optimization, fine-tuning, robustness, explainability, and related deep learning methods while translating technical findings into business outcomes and independently pursuing impactful research agendas.

The Lead AI Engineer will design, develop, and support AI software components, leveraging various AI technologies to enhance banking services. The role involves partnering with cross-functional teams to deliver AI-powered products and optimize large-scale production AI systems.

Defines the technical vision and architecture for NVIDIA’s next-generation autonomous driving stack, integrating classical safety systems with learning-based autonomy. Leads engineering teams across prediction, planning, control, decision-making, and safety; oversees productionization of end-to-end driving pipelines and foundation models; and partners with research teams to bring robotics, embodied AI, and generative AI advances into scalable autonomous vehicle systems.

Own end-to-end recruiting for go-to-market roles across Sales, Marketing, Partnerships, and Customer Success. Partner with hiring managers on success profiles, job descriptions, sourcing strategies, and candidate evaluation. Coordinate global interviews, maintain ATS data and recruiting metrics, deliver an excellent candidate experience, and collaborate with People Ops on offers, onboarding, and employer branding. Stay current on AI, 3D, and creative technology to engage talent effectively.

Lead F5’s global product design organization and define the UX/UI vision across platform products. Develop scalable design strategies, unified design systems, and AI-enabled user experiences. Partner with product, engineering, AI, marketing, and analytics teams to improve accessibility, personalization, usability, adoption, retention, and customer satisfaction. Mentor and scale cross-functional design teams while balancing executive-level strategy with hands-on guidance and timely execution.

Leads enterprise FP&A, including P&L consolidation, annual operating planning, forecasting, actuals reporting, scenario analysis, and board and earnings preparation. Owns the FP&A technology and AI roadmap, automates executive decision products, improves financial workflows, and develops a modern finance organization. Partners with senior leaders across Finance and the broader business to deliver strategic insights and drive aligned financial decisions.

Own and grow strategic partnerships with cloud providers, semiconductor foundries, data and compute providers, and lighthouse customers. Lead co-selling initiatives, support product architecture decisions, structure complex commercial and co-development agreements, and identify opportunities across product, R&D, and go-to-market teams. Translate technical and business needs into partnership strategy for an AI-powered chip design platform.

Design, develop, deploy, and support scalable AI platform components, including foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, experimentation, and observability. Optimize large-scale AI systems for latency, throughput, cost, scalability, and hardware utilization. Contribute to foundational AI strategy, collaborate cross-functionally, and lead or mentor engineering teams.

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.

Design, develop, deploy, and support foundational AI systems, including model training, LLM inference, similarity search, guardrails, evaluation, governance, and observability. Optimize large-scale production AI systems for scalability, latency, throughput, cost, and hardware utilization. Partner with engineers, scientists, technical program managers, and product managers while contributing to technical vision, roadmap development, and responsible AI practices. Lead and mentor engineering teams and apply emerging AI research to production systems.

Lead financial modeling, valuation, diligence, and transaction execution for acquisitions, venture investments, and strategic partnerships. Build DCF, comparable company, pro forma, and synergy analyses; coordinate cross-functional diligence; evaluate markets and targets; support deal structuring, negotiations, and executive decision-making. Maintain deal pipelines and infrastructure, prepare investment memos and transaction materials, guide associate-level support, and help develop AI-enabled deal processes and market intelligence capabilities.

Supports FP&A and enterprise analytics by developing scalable Power BI reporting, financial models, dashboards, and automated processes. Analyzes financial and operational datasets to identify trends, risks, and opportunities; improves forecasting, budgeting, and recurring reporting workflows using Excel, Python, SQL, Power Automate, and Microsoft platforms. Collaborates with finance, data engineering, IT, and business stakeholders, trains users, maintains governance standards, and contributes to the Pigment planning platform. Evaluates AI-enabled tools to improve reporting efficiency, data quality, and decision-making.

Leads strategic sourcing and partner management for Cisco’s EMS, OEM, and ODM manufacturing partners. Develops end-to-end sourcing strategies, negotiates cost and contract terms, manages partner performance, supports new business awards, and drives supply chain improvements. Collaborates with product, engineering, quality, manufacturing, and supply management teams to resolve complex challenges, optimize costs, support dual sourcing, manage specification changes, and align sourcing decisions with product and technology roadmaps.