Artificial Intelligence Jobs in Santa Clara, CA

Own the architecture and technical strategy for Square’s go-to-market systems. Build and operate production AI agents, automated workflows, and integrations that improve sales productivity. Lead complex initiatives through architecture, implementation, testing, deployment, and operations while establishing AI evaluation, observability, security, reliability, and human-oversight practices. Partner with Sales, Product, Data, and Engineering leaders to translate business needs into scalable solutions, make build-versus-buy decisions, mentor engineers, and improve business impact through data and user feedback.

Own the architecture and technical strategy for Square’s go-to-market technology stack. Build and operate production AI agents, automated workflows, and integrations that improve sales productivity. Lead complex technical initiatives, establish AI reliability and security guardrails, define evaluation metrics, and guide build-versus-buy decisions. Partner with Sales, Product, Data, and Engineering leaders while mentoring engineers and remaining hands-on across design, implementation, testing, deployment, and operations.

Lead AI product strategy and strategic operations across an enterprise software portfolio. Track revenue, customers, costs, metrics, and industry trends; support quarterly reviews and annual planning; conduct market sizing and buy-build-partner assessments; manage executive and cross-functional stakeholder alignment; and oversee AI initiatives that drive growth and operational efficiency.

Define AppZen’s B2B payments product strategy, select and manage payment infrastructure partners, and own payment integrations from architecture through production. Design payment execution, monitoring, reconciliation, fraud prevention, and AI automation within enterprise controls. Translate complex payment requirements into scalable capabilities while collaborating with engineering, legal, compliance, sales, customer success, marketing, and external providers. The role requires hands-on experience with payment products, processors, banks, APIs, and enterprise payment lifecycles.

Build and lead development of an enterprise AI platform supporting large-scale AI-assisted analysis. Responsibilities include designing, developing, testing, deploying, and supporting foundation model training, LLM inference, similarity search, guardrails, evaluation, experimentation, governance, and observability. The role also requires advancing LLM optimization for scalability, latency, throughput, hardware utilization, and cost while shaping the long-term roadmap for foundational AI systems and mentoring engineering teams.

Design, develop, test, 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 scalability, latency, throughput, hardware utilization, and cost. Partner with engineering, research, product, and program teams; contribute to technical vision and roadmap; and lead or influence teams developing responsible cloud-based AI solutions.

Lead the design, development, deployment, and support of foundational AI systems, including LLM inference, model training, similarity search, guardrails, evaluation, governance, and observability. Optimize production AI systems for scalability, cost, latency, throughput, and hardware utilization. Partner with engineers, scientists, program managers, and product managers while shaping the technical vision and roadmap for responsible AI platforms.

Builds and manages technology and industry partnerships from sourcing through integration, deployment, and expansion. Evaluates partner capabilities, strategic fit, customer demand, integration complexity, and business value. Coordinates engineering, product, commercial, and customer stakeholders to develop integrated solutions, accelerate deployments, and create new business opportunities. Serves as the primary owner of strategic partnerships, ensuring alignment on objectives, timelines, responsibilities, and outcomes.

Designs customer-centered digital experiences, functional prototypes, user flows, wireframes, journey maps, and interface specifications. Collaborates with product, engineering, business, and research teams to define, test, and deliver solutions across responsive web and mobile platforms. Applies human-centered design, user research, usability testing, AI-assisted workflows, and responsible AI interaction patterns while facilitating workshops and supporting product prioritization.

Manage procurement integration and divestiture activities for acquired companies, covering procure-to-pay processes, suppliers, tools, policies, controls, training, and business continuity. The role coordinates cross-functional stakeholders, tracks project schedules and deliverables, vets and enrolls suppliers, develops standard processes, provides recommendations, and drives change management. It also requires analyzing complex data, building models, and applying AI, RPA, bots, and agentic AI to improve operational efficiency.

Creates technically accurate marketing content and demonstrations, translates complex product concepts into customer-focused messaging, and supports launches, campaigns, webinars, events, developer outreach, partner programs, and sales enablement. Tracks content performance and audience feedback, maintains project and launch assets, presents to technical and business audiences, and collaborates with engineering, product, public relations, creative, and marketing teams.

Drives enterprise sales of Intel-based products and solutions by building relationships with senior business and technical leaders. Leads account planning, upselling, cross-selling, tenders, forecasting, and strategic customer initiatives. Advocates Intel architecture across on-premise, hybrid, and public cloud environments, collaborates with partners and internal teams, gathers customer feedback, and supports joint marketing efforts to increase revenue and customer satisfaction.

Leads complex, cross-functional technology programs across AI, software, robotics, vehicle hardware, infrastructure, simulation, data, and product. Owns project delivery, improves efficiency, manages risks and dependencies, aligns stakeholders, supports business goals, and drives continuous process improvement. The role requires strong technical understanding, systems thinking, communication, project management, and influence without authority across engineering teams.

Lead go-to-market strategy and product marketing for Arm’s Cloud AI portfolio, including AGI CPUs, Neoverse CSS, CPU IP, platforms, and ecosystem solutions. Develop positioning, messaging, customer value propositions, marketing plans, product launches, partner campaigns, content, sales enablement, and executive communications. Collaborate with product, engineering, sales, corporate marketing, and ecosystem partners to translate complex AI and cloud infrastructure technologies into differentiated market narratives and accelerate adoption.

Leads engineering teams building responsible, scalable AI systems and products. Oversees foundation model training, LLM inference, similarity search, guardrails, evaluation, experimentation, governance, observability, and production deployment. Makes build-versus-buy decisions across AI technologies, develops LLM optimization techniques, shapes foundational AI roadmaps, and recruits and mentors engineering talent. Partners with research, engineering, product, and program teams to deliver high-performance AI capabilities.

Design, develop, deploy, and support foundational AI platform components, including LLM inference, model training, similarity search, guardrails, evaluation, governance, and observability. Optimize large-scale AI systems for scalability, latency, throughput, hardware utilization, and cost. Contribute to long-term platform strategy, apply advanced AI research in production, and collaborate with engineers, scientists, program managers, and product leaders while mentoring teams.

Lead the design, development, deployment, and support of foundational AI systems, including LLM training and inference, similarity search, guardrails, evaluation, governance, and observability. Develop optimization techniques that improve scalability, cost, latency, throughput, and hardware utilization. Partner with engineering, research, product, and program teams while contributing to AI platform strategy, technical vision, and long-term roadmaps.

Lead the design, development, testing, deployment, and support of foundational AI systems, including model training, LLM inference, similarity search, guardrails, evaluation, governance, and observability. Optimize large-scale production AI systems for scalability, latency, throughput, cost, and hardware utilization. Collaborate with engineering, research, program management, and product teams while shaping the technical vision and roadmap for responsible AI platforms.

Own the end-to-end product management cycle, including customer discovery, user interviews, solution definition, product requirements, AI prototyping, engineering collaboration, feature launches, and communicating product value. The role focuses on rapidly delivering mobile and web products that improve construction workflows, using data and decisive ownership to address complex customer and operational needs.

Define next-generation data center GPU products by analyzing workloads, especially large language model training and inference. Identify customer opportunities, develop GPU value propositions and product proposals, and collaborate with engineering, operations, field teams, cloud partners, and sales on go-to-market plans, positioning, collateral, and tools. The role requires technical knowledge of GPU, software, and computing architectures, along with 7+ years of technology experience.

Build scalable evaluation, introspection, visualization, and metrics tools for autonomous vehicle machine learning models. Develop workflows processing billions of examples and connect offline evaluation with data, training, simulation, and launch decisions. Collaborate with modeling, data, infrastructure, and validation teams to improve model performance, safety, reliability, and development speed. Responsibilities include software design, implementation, maintenance, code reviews, and production tooling across backend, frontend, and data infrastructure.

Own governance, operating cadence, executive reporting, dashboards, decision logs, action tracking, and portfolio analytics for HARMAN’s AI Transformation organization. Lead portfolio rationalization, risk and dependency tracking, data quality, governance standards, executive and board materials, and stakeholder alignment across business, product, technology, and delivery teams. Continuously improve portfolio management processes and organizational execution effectiveness.

Own strategic customer relationships and commercial opportunities for Arm silicon across Physical AI and Edge AI markets. Develop demand, identify lighthouse customers, progress opportunities from evaluation through design wins and deployment, maintain pipeline forecasts, gather market and product insights, and coordinate cross-functional teams. Engage senior business and engineering leaders while communicating Arm’s value in performance, power efficiency, AI capability, security, software ecosystem, and system economics.

Leads and mentors a backend engineering team building cloud-native provisioning and orchestration services for CrowdStrike’s AI Detection and Response platform. Owns technical vision, architecture, roadmap, reliability, incident response, engineering practices, hiring, and team development. This player-coach role includes approximately 20–30% hands-on coding, collaboration with product and engineering stakeholders, and delivery of scalable distributed systems supporting large-scale security event processing.

Leads customer deployments of integrated hardware and software systems across government and industrial organizations. Responsibilities include deployment planning, customer relationship management, technical proposals, risk mitigation, milestone tracking, roadmapping, demonstrations, presales support, and business development. The role bridges customer stakeholders with engineering and commercial teams while ensuring proposed solutions are successfully delivered.