Artificial Intelligence Jobs in Sunnyvale, CA

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 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.

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.

Leads large-scale, cross-functional technical programs from planning through delivery. Responsibilities include managing dependencies, timelines, resources, risks, system design discussions, scalability, high availability, workflows, and stakeholder communication. The role drives operational excellence, data-driven decision-making, and continuous improvement while mentoring team members and leveraging GenAI and advanced analytics to improve program execution.

Lead development of scalable platform capabilities, infrastructure, tooling, and AI/ML frameworks. Own the full software lifecycle from design and coding through deployment, observability, and maintenance. Apply cloud-native architecture to build resilient systems, integrate intelligent automation, conduct design reviews, mentor engineers, and influence technical decisions. Collaborate with cross-functional stakeholders to define requirements, measure outcomes, and deliver secure, maintainable software aligned with strategic priorities.

Lead editorial direction, quality standards, and scalable evaluation frameworks for AI-powered content products across MSN and Microsoft surfaces. Partner with product, engineering, and design teams on model evaluation, prompt engineering, trust and safety, workflow improvements, and strategic planning. Drive data-informed decisions, editorial accuracy, content quality, and cross-functional execution for broad audiences.

Leads the strategic vision and roadmap for Walmart+ benefits across first-party and third-party offerings. Identifies opportunities to improve member value, engagement, retention, and business impact; drives cross-functional prioritization; oversees product development from MVP through launch and value realization; shapes scalable platform capabilities; uses customer insights, analytics, and experimentation; and mentors product managers while influencing senior executives.

Leads legal strategy for NVIDIA’s global supply chain, strategic sourcing, procurement, technology transactions, intellectual property, and infrastructure development. Negotiates complex commercial, engineering collaboration, licensing, and procurement agreements; advises business leaders and stakeholders on high-stakes transactions; and develops scalable legal playbooks, templates, and training. The role requires extensive legal experience, technology transaction expertise, supply-chain sourcing knowledge, strong drafting skills, team leadership, and a US law degree with bar admission or authorization to practice.

Lead full-cycle recruiting for software engineering, infrastructure, platform, solutions engineering, technical leadership, and go-to-market roles. Build proactive talent pipelines, source passive candidates, advise hiring managers on market conditions, manage interview processes, and improve recruiting operations, ATS workflows, reporting, and candidate experience. Partner with executives, HR leadership, and agencies while establishing scalable recruiting practices for a rapidly growing SaaS startup.

Lead Strata from inception as co-founder, defining the vision for regulatory intelligence software, engaging enterprise customers, shaping the product roadmap, providing technical leadership for trusted AI agents, and recruiting teams across go-to-market, product, engineering, and customer success. The role requires early-stage B2B SaaS experience, hands-on LLM and agentic architecture expertise, and the ability to build products emphasizing accuracy, citations, auditability, and expert review.

Own DataVisor’s product marketing, PR, and analyst relations programs. Develop positioning, messaging, thought leadership, product assets, campaign materials, and executive communications while translating complex fraud, AML, AI, and SaaS technologies into customer-focused narratives. Collaborate across Product, Sales, Customer Success, Marketing, and leadership; manage agencies and analyst engagements; support launches and competitive intelligence; and use AI tools and agentic workflows to improve marketing productivity.

Lead a small Applied AI Engineering team building AI-powered systems for cyber defense: automate incident investigations, enable threat hunting and intelligence, unify telemetry and data, empower security practitioners, recruit and grow engineers, drive rapid low-risk shipping, and shape cross-functional roadmaps with security teams.

Design and build automation tools, dashboards, and systems to deploy and manage cloud-based infrastructure. Collaborate with cross-functional teams to analyze requirements, implement reliable full-stack solutions (React front-end, Go back-end), improve CI/CD pipelines, and maintain production stability while meeting government background/clearance requirements.

Design and build highly scalable cloud-native microservices and platform components for AI Detection and Response, ensure reliability through testing and root-cause analysis, integrate with CrowdStrike services/APIs, mentor engineers, and drive operational excellence for production systems handling massive event rates.

Design and build highly scalable cloud-native microservices and platform components for AI Detection and Response. Own architecture, testing, monitoring, and operational excellence; integrate with CrowdStrike services; troubleshoot distributed systems; mentor engineers and drive secure, reliable deployments at scale.

Design and build automation tools, dashboards, and cloud-native production systems. Collaborate with cross-functional teams to implement reliable, secure solutions using React and Go, integrate REST/GraphQL APIs, maintain CI/CD pipelines, and leverage AI to improve operations and decision-making.

Build and scale test automation and contract testing frameworks for AI-driven detection systems across cloud, agent, and browser extension surfaces. Expand unit, integration, contract, and end-to-end coverage, define AI efficacy testing, implement observability and quality telemetry, and collaborate with SRE and engineering to ensure reliable, high-performance SaaS deployments.

Own end-to-end quality for AIDR services across backend and UI: build reusable test frameworks, validate functional/performance/contract/chaos scenarios, increase automated coverage, mentor engineers, and improve observability and resilience for large-scale cloud systems.

Own end-to-end quality for AIDR services, building test tooling and frameworks for backend and UI. Design and execute functional, performance, contract, and chaos/resilience tests at scale, improve observability, drive root-cause analysis, and mentor engineers to raise testing standards across cloud-native, high-volume distributed systems.

Design and implement highly scalable, cloud-native microservices and platform components for AI detection and response. Build reusable libraries, integrate with CrowdStrike services, ensure reliability and security, drive root-cause analysis, mentor engineers, and deploy/operate services and ML models at scale.

Lead product vision and execution for an MVP autonomous agent platform, prototyping and shipping agentic capabilities. Own roadmap for orchestration, memory, action execution, and secure governance. Drive adoption, define metrics, partner with engineering, GTM, and open-source ecosystem, and translate frontier AI research into scalable platform primitives.

Lead engineering teams to build and ship the AI Control Tower platform: own roadmaps, drive 1.0-to-adoption, embed AI across development lifecycle, recruit and grow engineers, and align cross-functional partners to deliver scalable, cloud-native AI governance and observability for enterprise customers.

The Sr. Product Marketing Manager will oversee release marketing and PMM operations, coordinating product launches and enhancing processes within the PMM team.

Design and deliver enterprise-grade AI workflow transformations on GCP. Build secure, event-driven backend services and multi-step AI agents, integrate bots with enterprise systems, implement telemetry, testing, CI/CD, HITL validation, and create reusable architecture, documentation, and runbooks while guiding adoption and governance.