Artificial Intelligence Jobs in Santa Clara, CA

Leads the design, development, and deployment of scalable AI, generative AI, and machine learning solutions. Oversees data infrastructure, integration, data quality, and advanced analytics while managing client engagements and executive relationships. Drives business development, strategic direction, innovation, and AI-driven automation. Mentors teams, develops future leaders, and fosters collaboration, integrity, and client satisfaction across complex projects.

Leads Microsoft Dynamics 365 CRM and Copilot/AI functional workstreams for client engagements. Responsibilities include requirements analysis, CRM solution design, implementation management, integration planning, configuration, deployment, issue resolution, budgeting, risk tracking, user training, adoption support, and stakeholder management. The role also coaches team members, reviews deliverables, and identifies AI-enabled improvements to operational efficiency and client outcomes.

Lead client-facing Microsoft Dynamics 365 ERP and AI/Copilot solution architecture programs. Translate business requirements into functional designs, implementation plans, configurations, testing, training, and deployment activities. Direct complex workstreams, improve processes and controls, resolve risks, communicate recommendations to stakeholders, build client relationships, and coach consulting teams through ambiguity and change.

Conduct AI and machine learning research for next-generation wireless communication systems. Develop algorithms, build and evaluate models, run experiments, publish findings, and collaborate with research, development, and product teams to transition research into real-world technologies. The role also involves exploring emerging AI techniques, shaping technical direction, and contributing to Ericsson’s wireless technology strategy.

Leads financial statement audits and evaluates governance, risk management, regulatory compliance, and internal controls for digital asset and financial services clients. Directs complex audit engagements, applies advanced auditing and technical accounting expertise, identifies material misstatements, and issues auditor reports. The role also involves client relationship management, coaching and developing diverse teams, communicating findings, and maintaining professional, independence, and ethical standards.

Leads strategic pricing and monetization across Block’s sales-driven channels. Manages a team supporting complex enterprise deals, develops pricing and approval frameworks, and partners with Sales, Product, Engineering, Legal, Risk, and Revenue Operations. Uses automation, AI, and data to scale Deal Desk capabilities, improve commercial governance, analyze deal economics, and identify broader pricing, packaging, monetization, and portfolio opportunities.

Drives HR operational excellence through process redesign, SLA and KPI analysis, system and knowledge management, requirements gathering, UAT, governance, and continuous improvement. Partners with HR stakeholders to improve service delivery, employee experience, and operational scalability. Supports HR program rollouts, M&A integrations, global entity expansions, Workday data conversions, employee communications, and benefits transitions. Requires strong HR operations, analytics, transformation, stakeholder management, and AI experience.

Lead HPE’s North American HPC and AI go-to-market organization, overseeing more than 200 sales and presales professionals across a $3 billion business. Responsibilities include developing sales strategy, driving revenue and market share growth, managing P&L and resources, developing talent, collaborating with product and marketing teams, engaging customers and partners, analyzing market trends, and representing HPE at industry events. The role requires 50% travel within the US and Canada and US citizenship.

Develops and scales generative AI and automation solutions for memory circuit design, layout, verification, simulation, and tapeout workflows. Uses engineering and silicon data for predictive insights and optimization of floorplanning, placement, routing, and validation. Collaborates with design, CAD, product, manufacturing, and process teams to reduce manual effort, improve quality, and accelerate time-to-tapeout. Requires production-quality Python development and experience applying machine learning, data analysis, or automation to engineering workflows.

Leads venture investment sourcing, evaluation, diligence, and execution across Seed through Series B. Drives company-wide AI and machine learning initiatives, maintains portfolio relationships, and develops executive, Board, and Investment Committee recommendations. The role requires technical fluency in AI or semiconductors, financial acumen, senior stakeholder influence, strategic judgment, team mentorship, and the ability to operate effectively in ambiguous, fast-paced environments.

Lead complex security incident investigations from assessment through recovery, coordinating containment, remediation, evidence preservation, and stakeholder communication. Analyze threats across endpoint, identity, cloud, SaaS, network, and application environments. Build code, queries, automation, and AI-assisted workflows to improve evidence collection, detection, case management, and response. Lead post-incident reviews, drive lasting improvements, mentor responders, and participate in the incident response on-call rotation.

Leads the design, development, testing, and evaluation of AI and machine learning solutions. Directs data analysis, modeling, infrastructure, monitoring, and integration efforts while establishing standards for AI robustness, bias, explainability, failure modes, and technical controls. Manages large projects, advises clients, coaches teams, and develops reusable evaluation tools and evidence workflows for responsible AI deployment.

Design and deploy AI systems and machine learning models, perform data wrangling and analysis, and integrate solutions into data infrastructure. Develop scalable AI applications, relational data systems, evaluation tools, automated tests, and monitoring capabilities. Assess AI behavior, robustness, bias, explainability, drift, hallucinations, and guardrails while evaluating technical controls and communicating findings to clients and stakeholders.

Develop and implement AI and machine learning solutions, including algorithms, data models, infrastructure, evaluation tools, automated tests, monitoring, and responsible AI controls. Lead testing for robustness, bias, drift, explainability, hallucinations, and failure modes. Manage client accounts and technical workstreams, review evidence and controls, communicate trade-offs, mentor teams, and maintain delivery and professional standards.

Leads product strategy and a team of Product Managers for ServiceNow’s Unified Security and Exposure Management portfolio. Defines AI-native, enterprise-grade security products for CISO organizations, drives product vision and roadmaps, and collaborates with customers, architects, engineering, and cross-functional teams. The role requires deep cybersecurity expertise, experience scaling enterprise software products, strong technical depth, data-driven prioritization, and exceptional communication skills.

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

Develop software frameworks, simulation environments, automation tools, and AI-assisted workflows for DRAM architecture research. Analyze memory architectures through modeling, simulation, performance, power, bandwidth, latency, and workload studies. Collaborate with architects and researchers to document methods, present findings, and support future memory technology strategies.

Develop software platforms and AI-enabled workflows for DRAM and memory-system architecture research. Support architecture exploration, simulation, data analysis, and technical decision-making for next-generation memory technologies while combining computer architecture, DRAM systems, software development, and artificial intelligence.

Build infrastructure and tooling for AI evaluation, including distributed execution, task-set validation, graders, human-review calibration, statistical reporting, online feedback loops, and offline-to-online analysis. Partner with product, engineering, data, and ML teams to create reliable evaluation workflows that support faster, statistically sound AI product decisions.

Manage an enterprise customer portfolio, advocating for customers and driving adoption, usage, technical health, and business outcomes from ServiceNow products. Provide prescriptive guidance, develop success plays and customer use cases, coordinate internal teams to resolve issues, oversee projects, and ensure customers maximize their ServiceNow investment. The role requires at least seven years of related experience, AI application experience, independent project leadership, analytical problem-solving, collaboration, and ServiceNow certifications.

Leads consulting engagements focused on customer sales and service strategies, sales operations, customer engagement, and revenue growth. Analyzes client needs, guides teams through strategy implementation, identifies business transformation opportunities, promotes AI-enabled sales processes, manages stakeholder relationships, and coaches high-performing teams.

Leads contract lifecycle management technology projects and client engagements, guiding strategic planning, system configuration, integrations, and AI-enabled contract solutions. Manages teams, coaches staff, develops client recommendations, builds consensus, and drives process optimization and innovation. The role also includes account management, stakeholder communication, governance, and ensuring project quality and client outcomes.

Provides consulting services for contract lifecycle management technology implementations. Analyzes client needs, configures and integrates business applications, develops strategic recommendations, trains clients, and supports software adoption. Guides teams through contract management technology deployments, optimizes processes, applies AI and digital strategies, manages client relationships, and contributes to project delivery and modernization initiatives.

Leads strategic pricing and monetization across sales-driven channels, managing pricing partners and advising on complex commercial deals. Develops pricing frameworks, approval processes, deal governance, and scalable tools using automation, AI, and data. Partners with Sales, Product, Engineering, Legal, Risk, and Revenue Operations to improve deal economics, profitability, pricing performance, packaging, and portfolio-level monetization strategy.

Own and advance Zscaler’s global go-to-market onboarding program for Account Executives, SDRs, and Partner Sellers. Design cohort-based, self-paced, and AI-driven learning experiences; facilitate global sessions; coach subject matter experts; align Sales, Operations, Product Marketing, People, and Enablement; and measure ramp effectiveness through metrics such as time to first deal and pipeline velocity.