Artificial Intelligence Jobs in Santa Clara, CA

Design, develop, deploy, and optimize large-scale AI systems, including foundation model training, LLM inference, agentic workflows, vector search, guardrails, orchestration pipelines, and observability. Lead cost-performance governance, technical design reviews, AI standards, roadmap development, and mentorship while improving model scalability, latency, throughput, hardware utilization, and inference costs.

Leads the architecture, development, deployment, and optimization of large-scale AI systems, including foundation model training, LLM inference, agentic workflows, similarity search, guardrails, evaluation, governance, and observability. Establishes enterprise AI architecture, performance and safety standards, and multi-year platform strategies. Partners across engineering, research, product, and program management while mentoring technical leaders and driving responsible AI adoption.

Design, develop, deploy, and support scalable generative AI systems, including foundation model training, LLM inference, agentic workflows, similarity search, guardrails, evaluation, governance, and observability. Optimize model performance, cost, latency, throughput, and hardware utilization across distributed cloud platforms. Own AI system architecture and reliability objectives, lead technical reviews, ensure security and compliance, contribute to long-term platform roadmaps, and mentor engineering staff.

Design, develop, deploy, and support scalable AI systems, including foundation models, LLM inference, agentic workflows, vector search, guardrails, evaluation, and observability. Optimize model training and inference for cost, latency, throughput, and hardware utilization. Own complex AI architecture, reliability objectives, governance, security, and compliance while collaborating across engineering, research, product, and program teams. Lead technical reviews, shape foundational AI roadmaps, and mentor senior technical staff.

Lead and scale Etched’s legal function, including team development, legal operations, contract processes, automation, complex commercial negotiations, corporate governance, financings, and IPO preparation. Advise executives and the board on strategic transactions, equity, compliance, intellectual property, employment, and disputes. Manage legal budgets and outside counsel while partnering with engineering, manufacturing, finance, and commercial teams across U.S. and international operations.

Develop full-stack tools and automation for deploying and managing cloud infrastructure. Responsibilities include designing software solutions, collaborating with business partners, developing architecture and automation strategies, reporting on projects, and providing technical leadership. The role requires React and Go development, API integration, CI/CD, automated testing, version control, security-focused coding, troubleshooting, documentation, and applying AI technologies to improve workflows and decision-making.

Leads engineering teams building AI-native ITOM Discovery products. Owns technical strategy, architecture, delivery, reliability, hiring, coaching, and organizational development. Diagnoses architecture, UX, data, cost, and feedback-loop issues; establishes engineering standards and reusable patterns; and collaborates with Product, Design, Security, Operations, Sales, and Customer Success to align roadmaps, releases, compliance, and customer value.

Lead a global sales strategy and planning function to align account planning, market intelligence, and commercial planning with business unit goals. Drive annual and long-range sales planning, institutionalize strategic account planning, translate customer and market signals into actionable guidance, implement planning governance and metrics, and lead AI-driven commercial transformations while influencing senior executives and cross-functional partners.

Lead Block’s global tax planning and controversy agenda, including international and U.S. tax strategy, transfer pricing, M&A taxation, legal-entity structuring, tax audits, examinations, disputes, and transaction negotiations. Advise senior leadership on tax implications, partner with Legal, Treasury, Corporate Development, and finance teams, monitor legislative developments, and ensure tax positions are reflected in reporting and compliance. Build high-performing teams and represent Block before domestic and foreign tax authorities.

Own the strategy, roadmap, requirements, and end-to-end lifecycle for Cisco’s enterprise AI agentic platform. Lead cross-functional collaboration with engineering, design, security, legal, and business teams to deliver privacy-forward AI solutions. Gather user feedback, define product requirements, guide prototypes and pilots, integrate enterprise tools, and establish metrics to evaluate adoption and improve product outcomes.

Leads product marketing, business development, and strategic market development for SiTime’s advanced AI opportunities. Identifies emerging applications, validates customer needs, builds business cases, develops go-to-market strategies, and translates system requirements into product roadmaps. The role focuses on AI infrastructure, edge AI, automotive, robotics, autonomous systems, and advanced packaging, while engaging customers, semiconductor and packaging partners, engineering, sales, and executive leadership.

Design, develop, deploy, and support large-scale AI systems, including foundation model training, LLM inference, agentic workflows, similarity search, guardrails, evaluation, governance, and observability. Establish enterprise AI architecture standards, optimize model performance and infrastructure costs, lead hybrid and multi-model orchestration, promote responsible AI, and mentor engineering teams while influencing technical strategy and research-to-production processes.

Design, develop, optimize, deploy, and support foundational AI systems, including LLMs, agents, vector search, model evaluation, orchestration pipelines, and responsible AI controls. Lead cost-performance governance, technical design reviews, roadmap development, and optimization of model and hardware utilization. Mentor senior AI engineers while partnering with research, product, program, and engineering teams to deliver scalable production AI platforms.

Conduct applied research on large language models, training optimization, and fine-tuning. Design, train, evaluate, validate, and deploy AI foundation models using PyTorch, AWS, Hugging Face, and Lightning. Lead research initiatives across data science, engineering, and product teams, translating advances into scalable production systems. Candidates should have advanced academic training and experience with large-scale deep learning, model optimization, self-supervised learning, robustness, explainability, or RLHF, plus a record of impactful research and publications.

Design, develop, deploy, and support scalable AI systems, including foundation models, LLM inference, agentic workflows, similarity search, guardrails, evaluation, governance, and observability. Establish enterprise AI architecture standards, optimize model performance and infrastructure costs, guide hybrid and multi-cloud strategies, and promote responsible AI practices. Lead technical direction, mentor engineering teams, collaborate with cross-functional stakeholders, and advance research techniques into production.

Build Retell AI’s legal function and serve as Sales’ primary partner on enterprise transactions. Responsibilities include negotiating MSAs, DPAs, BAAs, and order forms; creating contract templates, negotiation playbooks, and turnaround SLAs; advising on voice AI issues such as consent, TCPA, AI disclosure, and use-case reviews; and managing platform terms, privacy policies, acceptable-use policies, and outside counsel.

Own the end-to-end customer journey from initial discovery through insurance purchase and cross-product adoption. Lead landing pages, signup funnels, quote shopping, personalization, customer communications, and carrier integrations. Partner with Engineering, Design, Analytics, Marketing, and leadership to identify opportunities, analyze customer needs, simplify complex experiences, and deliver high-impact products quickly. The role requires strong product ownership, analytical ability, customer empathy, communication, and comfort navigating ambiguity in a fast-paced environment.

Leads AI governance across Finance by establishing intake, risk triage, approval workflows, controls, security guardrails, documentation, and reusable implementation patterns. Partners with Finance developers, Audit, Security, Legal, IT, data owners, and vendors to govern AI tools handling financial or regulated data. Translates emerging AI risks into practical decision criteria while supporting innovation and compliance with financial controls, SOX, data classification, and third-party risk requirements.

Optimize production AI workloads on Arm edge devices for performance and power efficiency. Develop kernel- and system-level implementations for DNN models using AI optimization tools and profiling techniques. Create production reference implementations and technical documentation, diagnose complex customer performance issues, and collaborate across engineering teams. Translate technical findings into recommendations for engineers and senior leadership while influencing Arm’s IP and software roadmaps.

Lead the architecture, development, deployment, optimization, governance, and observability of scalable AI platforms and systems. Build foundation model training, LLM inference, agentic workflows, similarity search, guardrails, and evaluation capabilities. Establish enterprise AI safety and transparency standards, drive long-term infrastructure strategy, mentor technical leaders, and guide organization-wide adoption of responsible AI solutions.

Design, develop, deploy, and support foundational AI systems, including model training, LLM inference, agentic workflows, similarity search, guardrails, evaluation, governance, and observability. Optimize large-scale AI systems for cost, latency, throughput, scalability, and hardware utilization. Define reliability objectives, lead architecture and technical reviews, ensure security and compliance, contribute to long-term AI platform strategy, and mentor senior technical staff.

Develop and deploy advanced machine learning and data science solutions across large numeric and textual datasets. Partner with data scientists, engineers, and product managers to build customer-focused products. Lead model design, training, evaluation, validation, and implementation while researching emerging technologies and translating complex analyses into business outcomes.

Design, develop, deploy, optimize, and support large-scale AI systems, including foundation models, LLM inference, agentic workflows, vector search, guardrails, evaluation, and orchestration pipelines. Lead cost-performance governance, technical design reviews, AI engineering standards, and long-term platform architecture. Apply state-of-the-art optimization techniques for latency, throughput, scalability, hardware utilization, and inference costs while mentoring senior technical staff and ensuring responsible AI practices.

Design, develop, deploy, and optimize foundational AI systems, including LLM inference, agentic workflows, vector search, model evaluation, guardrails, and observability. Lead multi-model orchestration, cost-performance governance, technical design reviews, and AI platform roadmap development. Apply advanced optimization techniques to improve scalability, latency, throughput, hardware utilization, and inference costs while mentoring senior technical teams and promoting responsible AI standards.

Design, develop, deploy, and support large-scale AI systems, including foundation model training, LLM inference, agentic workflows, vector search, guardrails, evaluation, governance, and observability. Optimize AI systems for cost, latency, throughput, scalability, and hardware utilization. Architect multi-model orchestration pipelines, establish performance governance, lead technical design reviews, shape long-term platform strategy, and mentor senior AI engineering leaders.