Artificial Intelligence Jobs in San Jose, CA

The Senior Administrative Assistant supports executives by managing schedules, arranging travel, preparing communications, and facilitating team activities in a fast-paced environment.

Lead strategy and execution for the Vault data & AI security product bundle, owning roadmap, cross-functional coordination, regulatory compliance, encryption, code signing, log export, and AI-native security features to scale monetizable, enterprise-grade security capabilities and drive adoption.

Lead and scale teams to build and operate an AI evaluation platform for internal and customer use. Define strategy and roadmap for benchmarks, automated scoring, verifiers, and monitoring. Drive new evaluation methodologies, architect unified APIs and dashboards, and collaborate with product, engineering, and research to ensure AI quality, safety, and reliability.

Lead delivery of AI-driven property & casualty insurance operations solutions: analyze client needs, design and implement software and AI architectures, manage projects and teams, coach staff, run training, ensure adoption, and drive process innovation while maintaining governance and standards.

The AI Engineer Manager leads the Data and Analytics Engineering team in developing AI solutions, manages client accounts, analyzes data, and fosters team leadership and relationships with clients.

As an Applied Researcher II, you'll develop AI models, collaborate across teams, conduct applied research, and drive innovations in AI to improve customer experiences.

The role involves leading AI solutions development, optimizing AI systems, and collaborating with cross-functional teams to enhance customer interactions at Capital One.

The Applied Researcher I role involves developing AI foundation models, collaborating with cross-functional teams, and conducting advanced research to enhance banking experiences with AI.

Lead design, development, deployment, and support of foundation model training and LLM inference platforms. Build similarity search, guardrails, evaluation, governance, and observability. Optimize large-scale AI systems for cost, latency, throughput, and scalability; contribute to technical vision and roadmap while partnering across engineering, research, product, and program teams.

As a Senior Lead AI Engineer, you'll design and support AI systems, collaborating with teams to enhance customer interactions and deliver AI-powered products.

As a Lead AI Engineer, you will design, develop, and support AI software components while partnering with cross-functional teams to deliver AI-powered products at Capital One.

The Senior Lead AI Engineer will develop and support AI components, lead a cross-functional team, and drive innovation in AI systems at Capital One.

Lead and grow an AI engineering team to design, build, deploy, and support production-scale generative AI systems. Oversee foundation model training, LLM inference, vector search, guardrails, evaluation, governance, and observability. Make build-vs-buy decisions across open source and SaaS, optimize LLM performance for cost/latency/throughput, set technical vision and roadmap, and attract/mentor top AI engineering talent.

Lead development of next-generation entity resolution solutions using transformers, graph ML, deep learning, and big-data tooling. Partner with engineers and product to design, train, evaluate, validate, and deploy ML models at scale; leverage Agentic AI workflows; translate technical work into business impact across enterprise use cases.

Lead development of next-generation entity resolution using transformers, graph ML, and deep learning at scale. Partner with engineers and product to design, train, validate, and deploy models on AWS/Spark, leverage agentic AI workflows, and translate technical work into business impact across enterprise use cases.

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.

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.

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.