Artificial Intelligence Jobs in Santa Clara, CA

Lead the design, development, and deployment of AI software components while partnering with engineers and scientists to deliver innovative AI solutions at Capital One.

Lead AI Engineer responsible for developing AI-powered products, optimizing large language model inference, and collaborating across teams to enhance customer interactions and business value.

Design, build, and deploy scalable ML training and evaluation platforms for autonomous driving. Lead architecture and implementation of distributed, high-performance pipelines, drive cross-team prioritization, mentor engineers, and support recruiting and code quality to accelerate ML model development lifecycle.

Lead AI Engineer responsible for designing and developing AI-powered products, utilizing ML algorithms, and optimizing large-scale AI systems. Collaborate with cross-functional teams to enhance customer experience and drive AI initiatives at Capital One.

Lead AI-powered reporting and insights strategy, designing data architecture, pipelines, and LLM-enabled workflows (RAG, prompt engineering, agentic pipelines). Integrate BI tools and enterprise AI platforms, establish governance for executive AI outputs, and provide technical leadership to scale trusted, automated reporting and self-service insights across the organization.

Lead design, development, deployment, and support of foundational AI systems (foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, observability). Optimize large-scale AI performance (cost, latency, throughput), leverage OSS and SaaS stacks, mentor teams, and shape long-term platform vision.

Lead design, development, deployment, and support of large-scale AI systems (LLM training/inference, similarity search, guardrails, evaluation, observability). Partner cross-functionally, optimize LLM performance (cost, latency, throughput), and shape technical vision and roadmap for foundational AI platforms.

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

Serve as senior technical advisor to strategic partners for Arm-based Edge AI SoC solutions. Lead system-level architecture, IP selection, integration, optimization, technical engagements, demonstrations, and cross-functional resolution to drive design wins and product adoption while providing customer feedback to influence product roadmaps.

Lead design and deployment of enterprise-scale multi-agent AI systems across the semiconductor lifecycle. Define strategy, architect agentic AI platforms (LLMs, RAG, knowledge graphs), identify automation opportunities, establish AI governance, integrate with EDA and operations systems, mentor technical leaders, and represent the company externally.

Sell and shape adoption of CoreWeaves AI Runtime Services by driving technical-commercial strategy, proving value with early customers, creating playbooks, and feeding product roadmap. Advise on serving frameworks, batching, execution isolation, throughput modeling, GPU utilization, and SLA structures while partnering with product, infra, and sales teams.

Lead development of next-generation entity resolution ML solutions using transformers, graph ML, and large-scale data pipelines. Partner with cross-functional teams to design, train, validate, and deploy models on cloud platforms, leverage agentic AI workflows, and translate technical work into business outcomes.

Manage major infrastructure projects in the energy sector focusing on electric transmission and substation upgrades, ensuring quality and stakeholder satisfaction.

The Senior Solutions Architect will develop and deploy AI infrastructure solutions, work with customers, and drive technical pre-sales activities.

Design, build, and maintain customer-facing digital commerce services (checkout, billing, subscriptions, catalog, cart, orders). Use AI-assisted workflows for coding, testing, review, and documentation. Develop scalable, low-latency APIs and services, improve observability, automation, and engineering practices, and partner with cross-functional teams to deliver reliable solutions.

Lead design and evolution of customer-facing digital commerce systems (checkout, billing, payments, subscriptions, catalog, cart, orders). Use AI-assisted workflows to accelerate coding, review, testing, and documentation while ensuring security and production readiness. Drive architecture and API decisions across modern web apps, improve engineering excellence (testing, automation, observability, DevOps), build reusable patterns, and coach engineers to raise team productivity and technical delivery.

The Director of Segment Marketing will drive strategy for cloud infrastructure and financial markets, advocate for customers, build partnerships, and elevate marketing efforts to advance Arm's leadership in data center computing.

Design and build an enterprise generative AI platform: agent orchestration, memory, guardrails, vector search, SDKs, and blueprints. Standardize agentic workflows, optimize orchestration and cost, own Helm/Kubernetes operators, ensure trust and safety, mentor engineering teams, and evangelize platform architecture internally and externally.

Lead design and delivery of an agentic AI platform: define architecture, standardize agentic workflows, build GenAI SDK/CLI, harden guardrails and observability, optimize orchestration and costs, own Helm/K8s operators for autoscaling, incubate RFCs and proofs of concept, and mentor engineering leaders while evangelizing platform practices internally and externally.

Lead a cross-functional team to deliver AI-powered banking products, focusing on developing and supporting AI software components and optimizing LLM technologies.

The Senior Lead AI Engineer at Capital One will design, deploy, and support AI systems, working with cross-functional teams to innovate and enhance customer interactions while ensuring scalability and performance.

Lead design, development, deployment, and support of production-scale AI systems (foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, observability). Drive LLM optimizations, technical vision, and cross-functional delivery of responsible AI products.

Lead design, build, deploy, and support foundational AI systems including foundation model training, LLM inference, similarity search, guardrails, evaluation, observability, and optimization. Partner with cross-functional teams to deliver scalable, performant, and responsible generative AI platform services and contribute to long-term technical vision and roadmap.

The Senior Director will lead AI integration and digital transformation in workforce operations, focusing on enhancing employee experience and leveraging data-driven strategies for workforce management.

The Lead AI Engineer will design, develop, and support AI software components, optimizing AI systems for performance and scalability while collaborating with cross-functional teams.