Artificial Intelligence Jobs in Santa Clara, CA

Design, develop, deploy, and support scalable AI platform components, including foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, and observability. Optimize production AI systems for cost, latency, throughput, and scalability. Contribute to foundational AI strategy and roadmap while collaborating with engineering, research, product, and program teams. Lead and mentor engineers and apply emerging AI research to responsible production systems.

Twelve-week, full-time AI Engineering internship focused on building agentic AI applications and scalable AI infrastructure. Interns will prototype and productionize multimodal search, document processing, autonomous workflows, model training and inference optimization, guardrails, and evaluation frameworks. The role involves collaboration with research scientists, product managers, and engineers while using technologies such as PyTorch, AWS Ultraclusters, and agentic frameworks. Applicants must be current master's students continuing their degree program.

Design, develop, test, deploy, and support foundational AI systems, including 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, scientists, technical program managers, and product managers while shaping the technical vision and roadmap for responsible AI platforms.

Twelve-week paid PhD internship focused on researching, prototyping, and productionizing AI systems and agentic workflows. Interns will build multimodal search, document-processing, autonomous-agent, training, inference, guardrail, and evaluation capabilities. The role involves collaborating with research scientists, product managers, and engineers while using cloud infrastructure, PyTorch, and agentic frameworks to deliver scalable AI products.

Design and implement intelligent automation for AV software development, testing, release, and operational workflows. Build CI/CD pipelines integrating simulation and hardware-in-loop testing, develop engineering data pipelines and metrics, and create AI-enabled tools for test analysis, failure classification, defect triage, reporting, and workflow orchestration. Establish evaluation, governance, security, and monitoring standards for AI solutions while improving release readiness, software quality, engineering productivity, and cross-functional visibility.

Architects and delivers enterprise-scale AI security systems for identity risk, anomalous access, malware detection, sensitive data classification, and threat recognition. Builds inference engines, ML platforms, feature pipelines, and production model-monitoring workflows. Provides technical leadership across multi-quarter initiatives, integrates AI with access-control and security infrastructure, evaluates emerging techniques such as LLMs and agentic systems, and collaborates across identity, threat detection, and platform teams.

Embed with customer AI teams to design, prototype, and productionize AI agents using W&B Weave. Advise on architecture, build reference implementations and demos, run technical workshops, gather field feedback for product roadmap, and troubleshoot customer environments.

Lead a data science team building scalable AI and machine learning solutions for customer-facing financial products. Develop and fine-tune NLP and large language models, manage model training, evaluation, validation, and production deployment, and partner with engineering, product, and design teams. Apply emerging generative AI technologies at scale while mentoring talent, translating technical findings into business outcomes, and delivering resilient systems for millions of customers.

Design, develop, deploy, and support foundational AI systems, including model training, LLM inference, similarity search, guardrails, evaluation, governance, experimentation, and observability. Optimize large-scale AI systems for performance, scalability, latency, throughput, hardware utilization, and cost. Shape the technical vision and roadmap for foundational AI platforms while collaborating with engineers, research scientists, technical program managers, and product managers. Lead technical innovation and influence cross-functional stakeholders.

Lead data science for AI Foundations, developing and deploying large-scale NLP, machine learning, and generative AI solutions. Partner with software engineering, ML engineering, product, and design teams to build customer-facing applications. Train, fine-tune, evaluate, and operationalize language models and other advanced models using technologies including PyTorch, AWS, Hugging Face, LangChain, and VectorDBs. Provide technical leadership, communicate complex findings, and develop team talent.

Leads firmwide adoption of AI tools in partnership with attorneys and paralegals. Translates legal workflows into scalable AI solutions, manages platform configuration, supports AI governance and risk practices, and develops communications and training programs. The role requires hands-on AI platform expertise, strong project management, legal workflow knowledge, stakeholder collaboration, and the ability to identify and address risks in AI-enabled legal work.

The Corporate Controller will lead a global accounting organization, ensuring predictable monthly, quarterly, and annual closes, accurate financial reporting, strong controls, documented accounting policies, audit readiness, and risk management. The role partners with Commercial, Legal, Tax, Treasury, Operations, and Strategic Finance, while scaling teams, systems, and processes through rapid growth. Responsibilities include accounting policy across revenue, inventory, leases, equity, debt, and foreign currency, plus replacing manual work with ERP, automation, data, and AI-enabled tools.

Senior Software Engineer responsible for designing, developing, testing, deploying, and monitoring scalable software for Sam’s Club Scan & Go. The role requires Node.js and Java development, AI/ML integration, CI/CD, automated testing, performance monitoring, technical design, stakeholder collaboration, and peer mentoring. The engineer will own feature delivery, troubleshoot application issues, promote engineering best practices, and support reliable, secure, maintainable mobile application experiences.

Leads requirements, data modeling, transaction frameworks, ETL pipelines, dashboards, and analytical reporting for payment and business systems. Partners with technology and operations teams to maintain data quality, system reliability, and production performance. Diagnoses issues, coordinates resolutions, performs statistical analysis, and contributes to future-state architecture and process improvements.

Supports business intelligence, big data, and AI/ML initiatives by analyzing requirements, developing and configuring solutions, testing applications, supporting production platforms, troubleshooting incidents, and participating in projects and continuous improvements. The role also assists with governance, change management, audits, and SOX controls while providing informal guidance to team members.

Tenure-track Assistant Professor of Marketing responsible for conducting high-quality quantitative marketing research, publishing in leading journals, teaching undergraduate and graduate marketing courses, and contributing service to the department, university, profession, or community. Preferred research areas include branding, advertising, or health marketing with applications of artificial intelligence.

Tenure-track faculty member developing an impactful robotics and AI research program, publishing high-quality research, securing external funding, mentoring students, and teaching undergraduate and graduate electrical and computer engineering courses. Responsibilities include curriculum development, interdisciplinary and industry collaboration, university and professional service, and advancing inclusive excellence. Candidates must hold a Ph.D. in electrical and computer engineering or a related field by the September 2027 start date, with demonstrated research potential and commitment to teaching and inclusive academic engagement.

Lead the design, development, deployment, and support of scalable AI systems, including foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, and observability. Develop optimization techniques to improve AI system scalability, latency, throughput, hardware utilization, and cost. Shape foundational AI roadmaps, collaborate with cross-functional teams, and mentor engineers while applying emerging research to production.

Design, develop, deploy, and support foundational AI systems, including model training, LLM inference, similarity search, guardrails, evaluation, governance, and observability. Optimize large-scale AI systems for scalability, latency, throughput, hardware utilization, and cost. Partner with research, engineering, product, and program teams; apply emerging AI research in production; shape technical roadmaps; and lead or mentor engineering teams.

Leads enterprise AI portfolio management and transformation by prioritizing use cases, coordinating business, product, data, and engineering teams, tracking milestones and risks, establishing governance, and reporting progress and value to executives. The role also supports AI adoption, change management, organizational enablement, vendor coordination, and evaluation of emerging AI tools and workflows.

Chief of Staff to the CEO responsible for driving company priorities, building the organization’s operating cadence, managing KPI reporting, leading cross-functional special projects, and increasing executive leverage. The role requires turning ambiguous problems into measurable plans, coordinating leaders and external partners, deploying AI effectively across operations, and improving organizational efficiency in a high-growth B2B SaaS environment.

Manage strategic sales relationships with AI-native startups, drive quota attainment, qualify and close complex technology opportunities, maintain forecasts, and develop partnerships with cloud providers, system integrators, ISVs, and OEMs. The role requires positioning NVIDIA CUDA-X solutions, supporting technical and business collaborations, leading cross-functional initiatives, and expanding revenue within the startup ecosystem.

Own Hippo’s Quoting and Distribution platform strategy, roadmap, integrations, vendor data ecosystem, and end-to-end product lifecycle. Lead cross-functional delivery, translate business needs into technical requirements, manage partner and API integrations, and improve quote-to-bind conversion and distribution-driven GWP growth. Drive AI-native capabilities across quoting workflows, data enrichment, and partner experiences while aligning executive, engineering, insurance, and distribution stakeholders.

Own Hippo’s quoting and distribution platform strategy, roadmap, integrations, vendor data ecosystem, and AI-enabled capabilities. Lead cross-functional delivery from discovery through launch, improve quote-to-bind conversion and distribution growth, and bridge business, partner, insurance, and engineering teams. The role requires strong product leadership, API and platform experience, stakeholder management, data-driven decision-making, and insurance or financial services expertise.

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.