Artificial Intelligence Jobs in Sunnyvale, CA

Leads AI/ML infrastructure networking initiatives by benchmarking switches, validating ASIC and fabric features, and guiding workload deployments. Develops AI-driven network automation using Python, Ansible, SONiC, Junos, and related tools. Tests protocols, congestion behavior, traffic distribution, resiliency, and high-performance network operations. Documents architectures, methodologies, configurations, results, and recommendations for scalable AI/ML network fabrics.

Serves as a technical lead for customers using CoreWeave cloud infrastructure, with emphasis on Kubernetes in high-performance computing environments. Responsibilities include designing and deploying tailored solutions, leading proofs of concept, optimizing AI/ML workloads, conducting technical reviews, advising on product strategy, collaborating with engineering teams, and representing CoreWeave at industry events.

Senior Technical Recruiter responsible for hiring engineers, researchers, and technical leaders across AI, machine learning, infrastructure, security, and software engineering. The role develops sourcing strategies, engages candidates across industry and academia, advises hiring managers, manages complex searches through offer negotiation, and uses talent-market insights to influence workforce planning. Success requires strong technical recruiting expertise, executive presence, adaptability, and the ability to operate effectively in a fast-paced, ambiguous environment.

Define the vision, strategy, and roadmap for Microsoft’s Responsible AI platform. Lead development of capabilities for AI evaluation, red teaming, safety guardrails, risk detection, monitoring, governance, transparency, and compliance. Conduct enterprise customer discovery, translate emerging risks and regulations into scalable products, and coordinate execution across engineering, research, legal, security, compliance, and Microsoft product organizations. Establish success metrics, improve adoption, and represent Microsoft with customers, partners, standards bodies, and industry forums.

Leads the design and delivery of scalable cloud-native platform capabilities for Walmart Marketplace. Responsibilities include software development lifecycle ownership, coding, testing, deployment, monitoring, system design reviews, AI/ML application development, automation, technical mentoring, stakeholder collaboration, and continuous improvement of engineering processes and products.

Manage business operations for an AI infrastructure organization, including workforce and budget planning, process improvement, executive communications, organizational health, knowledge management, and cross-functional programs. Build reporting, dashboards, automation, and AI-enabled tools to generate insights and improve operational efficiency. Partner with Engineering, Finance, HR, Procurement, and leadership to align resources, manage risks, support compliance, and drive organizational priorities.

Leads corporate development and M&A activities focused on AI-enabled experiences. Develops investment theses, identifies acquisition and partnership opportunities, leads valuation, diligence, negotiation, executive approvals, and integration planning. Evaluates technology businesses, strategic value, market dynamics, and commercial opportunities while collaborating with product, engineering, legal, and senior leadership teams. The role is hybrid in Sunnyvale, supports global teams, and requires 25% domestic and international travel.

Lead energy-focused product marketing and go-to-market strategies for NVIDIA AI, accelerated computing, simulation, and digital twin solutions. Develop messaging, content, sales enablement, analyst and PR engagement, market segmentation, competitive intelligence, and performance analytics. Collaborate with marketing, sales, product, engineering, research, partners, and executive stakeholders to drive AI adoption across utilities, power, oil and gas, and industrial energy markets. Represent NVIDIA at conferences, executive forums, and partner events.

Leads enterprise sales capture and pursuit activities for data, analytics, cloud migration, AI, and GenAI solutions. Originates and qualifies new opportunities, develops pursuit strategies, builds executive client relationships, coordinates proposals and negotiations, and drives deals through closure. Partners with ecosystem providers such as AWS, Microsoft, and SAP to pursue large transformation engagements. Requires extensive data technology sales, sales pursuit management, direct quota-carrying sales, industry experience, and full-cycle sales expertise.

Leads Microsoft’s global Formula 1 partnership, overseeing strategy, executive relationships, technology roadmaps, integrated marketing activations, agencies, budgets, and measurable business outcomes. Manages teams and partner relationships while coordinating engineering, product, creative, and marketing stakeholders. Ensures technology-enabled experiences demonstrate Microsoft capabilities across cloud, data, AI, security, productivity, and customer experience. Requires strong sponsorship activation, campaign execution, technical storytelling, project management, and people leadership experience.

Principal Software Engineer leading architecture and technical strategy for an in-vehicle AI assistant platform. The role spans Android Automotive client applications, cloud services, edge-cloud orchestration, conversational AI, gRPC, streaming interfaces, testing, telemetry, and distributed systems. Responsibilities include cross-functional architectural alignment, roadmap development, resolving complex reliability and privacy trade-offs, integrating AI frameworks, and mentoring senior engineering teams.

Own and grow a territory of 12–15 strategic enterprise accounts in the Greater Houston market. Develop new business, expand customer relationships, exceed sales targets, and sell networking solutions to senior technology executives. Build account plans, manage channel partnerships, conduct demand-generation events, collaborate with systems engineers and technology partners, and position solutions involving networking, SDN, cloud, data centers, and AI/ML.

Owns customer forecasting, demand planning, backlog placement, and revenue execution for major Cloud and AI semiconductor customers. Analyzes infrastructure investments, market trends, capital expenditures, rack-level silicon content, and competitive dynamics to improve forecast accuracy and supply alignment. Coordinates Sales, Finance, Supply Chain, and Business Units, influences strategic decisions, identifies revenue-growth opportunities, and drives execution of customer commitments, supply plans, and risk mitigation.

Leads NVIDIA’s relationships with global energy delivery partners, including systems integrators, service providers, cloud providers, and system OEMs. Develops partner enablement strategies, coordinates proofs of concept and platform porting, supports RFQ responses, establishes joint business goals and go-to-market plans, and connects partner sales teams with NVIDIA for strategic account engagement. The role requires extensive energy-industry, complex sales, partner management, and technical computing experience.

Leads Microsoft Advertising’s global Technical Solutions organization, including technical account managers and customer-facing technical professionals. Defines organizational strategy, develops high-performing teams, drives strategic customer adoption and business outcomes, manages executive escalations, and partners with Product, Engineering, Sales, and Customer Success. Establishes scalable engagement models, playbooks, performance metrics, and feedback mechanisms to improve product adoption, customer experience, and growth across advertisers, agencies, publishers, and technology partners.

Leads complex customer-centered UX research for ServiceNow’s AI Control Tower, from discovery through design validation and adoption. Conducts qualitative and quantitative studies, usability testing, surveys, participatory design, and concept testing. Synthesizes user types, personas, journeys, task analyses, and jobs-to-be-done into strategic recommendations for product managers and designers. Provides leadership, mentorship, and direction for collaborative research efforts while championing UX research across the organization.

Supports AI governance projects by assessing risks and controls, documenting processes, gathering requirements, analyzing information, and synthesizing findings. Advises clients on regulatory compliance, risk management, internal controls, and governance improvements. The role involves applying AI/ML governance frameworks such as NIST and ISO, translating technical concepts for stakeholders, collaborating with diverse teams, and developing expertise in corporate governance and risk management.

Lead AI governance engagements by developing governance, risk, and control frameworks; analyzing regulations; managing client projects; mentoring staff; assessing AI/ML lifecycle risks; and advising stakeholders on compliant, transparent, and responsible technology adoption.

Leads enterprise AI governance initiatives, including governance frameworks, risk and compliance programs, controls, regulatory assessments, and responsible AI practices. Advises executive clients, oversees complex engagements, drives business development, develops innovative solutions, mentors teams, and translates technical AI governance concepts into actionable strategies. Requires expertise in AI/ML governance, risk, controls, audit, testing, validation, AI lifecycles, and leading frameworks such as NIST and ISO.

Designs and optimizes AI and machine learning solutions, transforms data into insights, and develops production AI systems. Responsibilities include building data infrastructure, speech recognition and NLP tools, and reusable evaluation and monitoring capabilities. The role independently tests AI systems for performance, robustness, bias, explainability, and failure modes; evaluates technical controls; documents findings; communicates recommendations to clients; and mentors junior team members.

Leads AI and data solution architecture for client transformation programs. Designs generative AI, data modernization, LLM, vector database, RAG, and LLMOps solutions; develops roadmaps and evaluation frameworks; advises executives; drives innovation; manages workstreams, client relationships, business growth, thought leadership, and team mentorship.

Leads engineering teams delivering scalable AI and machine learning solutions on Google Cloud. Oversees generative AI architecture, Vertex AI, LangChain, LangGraph, LLM APIs, RAG, experimentation, evaluation, guardrails, and LLMOps. Guides technical strategy, client alignment, delivery execution, and team development while applying Python, data science, and machine learning methods to build reliable AI products.

Leads Google Cloud AI and machine learning engineering teams and client workstreams. Oversees generative AI, LLM application, agent orchestration, retrieval-augmented generation, model evaluation, prompt engineering, guardrails, and LLMOps initiatives. Reviews architecture, code quality, testing, and solution delivery using Vertex AI, LangChain, LangGraph, Python, and LLM APIs. Coaches team members, improves reusable delivery assets, and manages client relationships, timelines, quality, and expectations.

Develop AI governance frameworks aligned with industry standards, assess AI risk and control programs, interpret regulations and data, and provide actionable recommendations. The role involves client relationship management, translating technical concepts for nontechnical stakeholders, mentoring junior staff, and supporting AI governance policies, controls, audit, testing, and validation across complex regulatory environments.

Leads client-focused generative AI and data modernization architecture, translating business needs into scalable solutions using Google Cloud, Vertex AI, LLMs, vector databases, and modern data platforms. Advises stakeholders, develops AI evaluation and guardrail practices, guides experimentation and deployment, presents technical recommendations, supports proposals, and coaches teams through complex transformation programs.