Artificial Intelligence Jobs in Santa Clara, CA

Own and grow a strategic global OEM account, executing account plans, managing senior customer relationships, advancing multi-product pipelines, forecasting accurately, meeting revenue and margin goals, identifying strategic sales opportunities, and influencing cross-functional teams. The role requires technical sales expertise, CRM discipline, analytical and communication skills, and the application of AI tools.

Leads IT audit engagements assessing digital environments, processes, controls, cybersecurity, data integrity, and AI systems. Manages client relationships, audit teams, project delivery, compliance challenges, data quality validation, governance improvements, and risk management. The role also involves mentoring staff, applying IT governance frameworks, promoting innovative audit technologies, and ensuring assurance standards are met.

Leads the vision, strategy, roadmap, governance, and adoption of ServiceNow’s Lux AI-native experience platform. Oversees product management leaders and partners with executive stakeholders across Product, Engineering, Design, Research, and business units. Drives AI-first experiences, agentic workflows, contextual intelligence, reusable platform capabilities, enterprise scalability, security, privacy, accessibility, compliance, and responsible AI. Represents platform strategy with executives, customers, analysts, and strategic partners.

Build cloud-based AI and machine learning solutions for intelligent enterprise services. Collaborate with developers, product managers, quality engineers, and product owners to design, implement, test, and deliver scalable software. Apply high-performance algorithms, core AI/ML techniques, object-oriented programming, unit testing, profiling, and code tuning to improve user experiences and workflow efficiency.

The Lead Product Manager will define the product strategy for AI/ML features, collaborating with engineering to deliver innovative solutions, enhancing user experiences, and bridging research with production while making critical decisions in ambiguous situations.

Design and implement AI systems and scalable machine learning models, perform data wrangling and software engineering to deploy AI solutions, interpret data for client recommendations, collaborate across teams, uphold technical standards, and build client relationships while navigating complex, ambiguous problems.

Lead design, build, and operate scalable GenAI platform components including foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, and observability. Collaborate cross-functionally, invent LLM optimization techniques, and shape long-term technical vision for foundational AI systems.

Principal Engineer responsible for driving the technical direction of ServiceNow’s conversational analytics products. The role builds cloud-based AI/ML solutions, develops prototypes, owns software delivery, and collaborates with engineering, product, and leadership. Responsibilities include designing agentic analytics capabilities, integrating semantic layers and knowledge graphs, improving accuracy through evaluation frameworks, and coaching engineers. Strong communication, customer focus, and expertise in large-scale software systems, AI-native development, analytics platforms, and natural-language querying are required.

Design and build cloud-based AI and machine learning solutions for ServiceNow’s conversational analytics products. Drive architecture and technical direction, create prototypes, collaborate with engineering and product teams, and own software through delivery. Develop agentic analytics capabilities involving semantic layers, knowledge graphs, data catalogs, and contextual engines. Coach engineers, communicate with technical and executive audiences, and prioritize customer outcomes such as accuracy and evaluation quality.

Leads pricing and monetization strategy for ServiceNow’s AI and cybersecurity offerings. Responsibilities include market segmentation, packaging recommendations, cross-functional alignment with product and go-to-market teams, price realization and KPI reviews, pricing optimization, growth opportunity identification, and stakeholder management. The role also supports new pricing models, promotions, market launches, and execution planning.

Leads the design, development, deployment, and support of foundational AI systems, including model training, LLM inference, similarity search, guardrails, evaluation, governance, experimentation, and observability. Develops optimization techniques to improve scalability, latency, throughput, hardware utilization, and cost. Partners with research, engineering, product, and program teams; contributes to technical vision; and mentors engineers while applying emerging AI research in production.

Build and operate multi-cloud platform automation across AWS, GCP, and Azure. Develop Terraform modules, CI/CD components, Python automation, infrastructure provisioning, lifecycle management, drift detection, dependency scanning, and remediation workflows. Integrate AI-assisted and agentic tooling into operational processes while establishing security guardrails. Collaborate with Security, IAM, Network, and FinOps teams on identity, secrets management, least-privilege controls, and cloud governance.

Leads Micron’s TPG AI transformation portfolio by defining priorities, roadmaps, governance, risks, dependencies, executive decision points, and value realization frameworks. Aligns AI investments with business outcomes, engineering transformation, and long-range planning. Partners with Finance and Business Operations on resources and capacity, builds executive reporting, and leads a program management function incorporating responsible AI, security, IP protection, governance, and organizational change.

Leads the design, development, deployment, and governance of an enterprise AI platform on AWS and Kubernetes. Builds agentic and multi-agent workflows, secure MCP and tool integrations, identity-scoped authorization, policy controls, isolated container runtimes, audit trails, and observability. Partners with engineering, security, regulatory, product, and business teams to deliver compliant AI infrastructure, troubleshoot complex distributed systems, shape technology strategy, and mentor technical teams.

Leads cross-portfolio AI product strategy at ServiceNow by combining customer research, technical product management, pricing, packaging, and commercial strategy. Partners with product, engineering, customer success, pricing, and go-to-market teams to identify adoption barriers, shape AI platform roadmaps, develop bundling and consumption-based models, and drive enterprise adoption. Influences independent organizations without direct authority and measures the impact of product and pricing changes on usage, expansion, and revenue.

Lead the conversational core of ServiceNow’s Voice AI platform, owning dialog quality, LLM selection, evaluation, voice-to-voice model integration, deployment strategy, and enterprise customer enablement. Drive the product from early production validation toward approximately 100 live customers, improving conversational quality, containment, reliability, latency, transcription accuracy, and task completion. Define the roadmap, evaluations, and technical strategy for real-time voice interactions and scale the platform against major startups and CCaaS competitors.

Leads cybersecurity compliance and AI governance across NIST, CMMC, EAR, and ITAR frameworks. Maintains SSPs, POA&Ms, audit evidence, risk assessments, and compliance policies; evaluates AI vendors and use cases; embeds guardrails, access controls, data classification, logging, and review gates into LLM, MLOps, and DevSecOps workflows. Partners with engineering, security, legal, assessors, and government stakeholders to mature organizational compliance and responsible AI practices.

Build and deploy agentic and generative AI systems that automate risk and compliance investigations. Own full-stack ML systems, including data integrations, prompt tuning, orchestration, evaluation, productionization, monitoring, and transformer-based modeling across transaction, graph, text, and profile data. Collaborate with product, engineering, platform, and operations teams while leading strategic roadmaps and delivering scalable production systems.

Build and deploy agentic and generative AI copilot and autopilot systems for risk and compliance automation. Own end-to-end ML systems, including data integrations, prompt tuning, orchestration, evaluation, productionization, monitoring, and transformer-based model development. Collaborate with product, engineering, platform, and operations teams to improve fraud detection and analyst productivity. Drive strategic roadmaps and cross-functional programs with significant business impact.

Develop and deploy responsible AI systems, including foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, and observability. Optimize large-scale AI systems for scalability, cost, latency, throughput, and hardware utilization. Collaborate with engineers, research scientists, technical program managers, and product managers while contributing to the long-term technical roadmap for foundational AI platforms.

Lead go-to-market strategy, positioning, and field enablement for AI Protect. Build differentiated messaging, competitive intelligence, persona-driven content, and sales enablement assets to accelerate deal wins and translate product roadmap into market impact.

The role involves designing, developing, and supporting AI software components, leveraging various AI technologies, and optimizing performance for large-scale AI systems.

Design, build, deploy, and support large-scale AI systems including foundation model training, LLM inference, similarity search, guardrails, evaluation, and observability. Collaborate cross-functionally, optimize model performance and cost, and contribute to technical vision and roadmap for foundational AI platforms.

The role involves architecting a scalable AI platform, building distributed compute solutions, optimizing technologies, and mentoring internal talent in AI and ML.

As a Senior Lead AI Engineer, you will develop AI solutions, partner with cross-functional teams, optimize LLM performance, and contribute to the AI vision at Capital One.