Artificial Intelligence Jobs in Santa Clara, CA

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

As a Lead AI Engineer, you will design, develop, and support AI systems, collaborating with engineering and research teams to deploy scalable solutions that enhance customer interactions and improve banking services.

Lead strategy and execution for the Vault data & AI security product bundle (encryption, privacy, log export, code signing, AI Vault console). Define roadmap, drive cross-functional delivery, ensure regulatory compliance, enable customer adoption, and scale monetizable security offerings. Influence engineering, legal, platform security, and executive stakeholders to embed AI-native, automated security capabilities across the ServiceNow platform.

Design, implement, and operate Java and Python microservices for AI-native platform features running in Kubernetes. Build scalable APIs, distributed processing, integrate frontier AI SDKs, apply prompt engineering and observability, and lead architecture, code quality, and mentorship for production-grade GenAI services.

Lead product vision and execution for a 0-1 agentic AI platform, prototyping and shipping autonomous agent capabilities. Drive roadmap for orchestration, memory, action execution, and governance; partner with engineering, GTM, and ecosystem to drive adoption, metrics, and platform primitives that scale across ServiceNow AI offerings.

Design, build, and operate production-grade agentic AI systems that reason over enterprise data, execute workflows, and run safely at scale. Focus areas include multi-agent orchestration, retrieval-grounded reasoning (RAG), model integration, observability, governance, and technical leadership to ship reliable, low-latency autonomous agents in production.

Lead product for Integration Security and AI Gateway Security, defining roadmap and architecture for MCP governance, OAuth-based trust, credential mediation, access control, and audit. Partner with engineering, design, customers, and security teams to translate compliance and zero-trust requirements into developer-friendly features and drive cross-functional delivery and adoption.

Lead AI-focused product strategy and deliver features across a growing enterprise portfolio. Collaborate with engineering, customers, and cross-functional teams to gather requirements, build roadmaps, demo solutions, and drive customer-centric outcomes for Software Asset Management and licensing use cases.

Lead AI FinOps governance to define and track AI cost KPIs, detect anomalies, propose and implement cost optimizations, set spend guardrails with cloud/LLM providers, coordinate cross-functional governance, and present VP-level reporting.

Own and build the agent execution harness and orchestration runtime for enterprise-scale conversational/agentic AI: ensure reliability, observability, prompt/version management, LLM integration, eval frameworks, cost/latency optimization, and provide technical leadership for safe, production-grade agent workflows.

Lead and scale teams building ServiceNow's AI evaluation platform. Define strategy and roadmap for benchmarks, automated scoring, verifier systems, and quality monitoring. Deliver unified internal and customer-facing evaluation services with APIs and dashboards. Drive novel evaluation methods, safety assessment, and cross-functional collaboration to ensure reliable, production-grade AI quality.

Build production-quality developer-facing demos by writing code, integrating models and data, and delivering AI-centric presentations. Create reusable demo assets, partner with product and engineering, and own the AI and data narrative for developer audiences.

Lead a team building evaluation infrastructure and benchmarks for agentic and generative AI. Design automated tests, validate RAG pipelines, benchmark frontier LLMs, and translate evaluation results into product and risk recommendations to ensure reliable, safe, and cost-effective autonomous workflows.

Design, implement, and deploy scalable AI/ML systems. Perform data wrangling, preprocessing, and advanced algorithm development. Collaborate with cross-functional teams to integrate AI solutions, analyze complex datasets for business insights, and support client engagements while continuously improving technical skills.

Support development and implementation of AI governance frameworks, assess governance/risk/controls, gather requirements, document processes, synthesize findings, advise on regulatory compliance, and help design scalable control programs for clients.

Develop and manage AI governance frameworks and risk-control assessments. Translate technical AI concepts for non-technical stakeholders, analyze regulatory and compliance risks, design governance models and controls, interpret data to inform recommendations, build client relationships, collaborate on solutions, and mentor junior team members.

As a Senior Data Scientist, you will lead AI risk assessments, coordinate with stakeholders, and ensure effective AI governance practices for safe financial application deployment.

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

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.

As a Senior AI/ML Engineer, you'll enhance developer productivity by leading CI solutions, mentoring engineers, and implementing scalable systems.

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.