Artificial Intelligence Jobs in Fremont, CA

Serve as a Microsoft Dynamics 365 functional lead delivering CRM/ERP assessments, design, configuration, fit-gap analysis, data migration, testing, training, and client-facing implementation support. Lead project tasks, create functional requirements and process flows, support proposals and business development, and coach junior staff to deliver solutions leveraging Microsoft platforms.

Lead large Microsoft Dynamics 365 (CRM/CE) implementations as a Senior Manager: engage senior clients, design functional solutions, oversee delivery lifecycle, coach teams, refine processes, and ensure operational excellence and adherence to firm standards.

Lead AI engineering teams to design, build, and deploy end-to-end AI solutions. Manage client relationships, plan and deliver projects, mentor staff, drive adoption of cloud-native microservices, CI/CD, vector databases and orchestration tools, and ensure high standards of quality, innovation, and compliance.

Lead and coach teams to design, develop, and deliver production-grade AI and data solutions for clients. Manage client accounts, ensure quality and timelines, analyze complex datasets, implement best practices, and drive continuous improvement while fostering client relationships and technical excellence.

Provide high-judgment executive support to three leaders, including two co-founders. Manage calendars, communications, travel, logistics, expenses, relationship tracking, meeting preparation, and confidential information. Improve leadership operating systems, information flow, decision follow-through, and selected operational projects. The role requires exceptional prioritization, discretion, anticipation, organization, and the ability to use AI to increase leverage while supporting a frontier science and engineering organization.

Own the full QA lifecycle for AI-powered legal solutions, including unit, integration, system, regression, performance, scalability, and security testing. Develop edge-case and boundary tests, validate AI outputs, integrate automated test suites into Azure DevOps CI/CD pipelines, track defects and quality metrics, and collaborate with analysts, engineers, security teams, and QA leadership to ensure reliable, production-ready solutions.

Leads product strategy, roadmap, evaluation, and production maturity for humanoid robot perception and learned capabilities. Translates customer workflows into measurable requirements for world understanding, object recognition, learned behaviors, and autonomy. Partners with robotics, machine learning, simulation, software, and engineering teams to define metrics, benchmarks, technical trade-offs, dependencies, and deployment readiness. Communicates product direction and shapes long-term robot intelligence strategy.

Lead mechanical architecture and manufacturing strategy for autonomous robotic pharmacy systems. Design high-precision electromechanical mechanisms, guide products from concept through production, establish DFM and supplier strategies, create build-to-print documentation, and integrate robotics, computer vision, AI, and controls. Own design verification, validation, reliability testing, FMEA, regulatory considerations, and continuous improvement for systems deployed at scale.

Lead strategic sales and account growth for FANUC’s AI, robotics, and emerging technology ecosystem. Build executive relationships with robotics startups, AI companies, investors, universities, and enterprise customers. Develop account plans, identify automation opportunities, coordinate facility audits and partners, conduct business reviews, and influence product strategy through market insights. The role requires capital equipment sales experience, robotics or automation industry knowledge, C-suite selling experience, understanding of Physical AI systems, customer-site visits, and a valid driver’s license.

Supports attorneys and business professionals using the firm's AI platforms. Provides one-on-one workflow coaching, troubleshoots prompting and tool-use questions, creates reference guides, performs comparative and feature testing across Claude, Harvey, and Legora, documents findings, and implements governance and token-management guardrails. The role requires strong communication, structured documentation, end-user support experience, and interest in legal technology and applied AI.

Own full sales and partnership cycle to bring voice AI to mobile service robots: engage senior robotics decision-makers, qualify and prioritize opportunities, close deals, and shape the commercial playbook while operating autonomously within a small technical team.

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.

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.

Analyzes wafer fabrication, equipment, sensor, metrology, and manufacturing data using AI, machine learning, statistics, and data-mining techniques. Develops data pipelines, analytical tools, dashboards, deployed models, and monitoring methods for anomaly detection, yield prediction, excursion analysis, and root-cause investigation. Collaborates with engineering, manufacturing, MES, and AI/ML teams to translate results into actionable insights, support experiments, improve processes, and establish responsible AI and data-quality practices.

Conducts in-depth legal and business research for attorneys and administrative teams, synthesizes findings, advises on research strategies, manages research projects, and evaluates information resources. Develops training curricula, delivers onboarding, monitors legal-industry developments and emerging AI research technologies, maintains newsletters and intranet content, and recommends resource purchases. Requires expert knowledge of legal and business research platforms, strong communication skills, and the ability to manage competing priorities independently and collaboratively.

Consultative Sales Engineer responsible for driving complex sales opportunities, designing cloud data security and data risk management solutions, delivering proof-of-value engagements and technical demonstrations, advising executive stakeholders, supporting partner channels, and coordinating cross-functional resources. The role requires cloud security, IAM, networking, databases, encryption, privacy, data governance, and strong technical communication skills.

Annotate robot episodes, videos, images, and sensor data for robotics AI models. Label objects, actions, task steps, and outcomes; write behavioral descriptions; identify ambiguous cases; perform annotation quality checks; meet accuracy and throughput goals; and report tool or workflow issues to engineering. The role requires high attention to detail, strong written communication, sound judgment, and comfort working under deadlines and ambiguity.

Build and ship AI-powered internal systems across investing, talent, founder services, finance, and operations. Projects include talent intelligence, sourcing and research tools, diligence workflows, firm knowledge search, operations automation, and reusable portfolio-company AI tools. The role requires end-to-end ownership, from identifying high-leverage problems and selecting the technical stack to building usable products, working with messy business data, and supporting portfolio founders with AI strategy and implementation.

The role involves designing and developing high-performance web apps, improving user interfaces, maintaining component libraries, and ensuring code quality through comprehensive testing and collaboration with other teams.

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.

Build and deploy production-ready AI applications, agents, and workflow automations. Partner with attorneys and business teams to identify use cases, translate requirements, integrate enterprise systems, and deliver scalable solutions. Lead projects from prototyping through deployment, evaluate AI models and frameworks, establish engineering best practices, monitor performance, and improve reliability and user experience. Collaborate across Innovation, IT, Knowledge Management, and Business Operations while advising stakeholders on practical AI implementation.

Leads accounting systems transformation and finance automation, including NetSuite and Salesforce optimization, AI agent deployment, integrations, reporting, and internal tooling. Owns project plans, testing, training, go-live, controls, and executive reporting while partnering with engineering and cross-functional teams. Identifies automation opportunities, pilots AI vendors, supports SOX requirements, and trains finance staff on new workflows.

Build and deploy LLM-powered features for clinical, patient, and operational workflows. Responsibilities include prompt design, retrieval, tool use, agent orchestration, evaluation harnesses, feedback loops, production operations, and AI engineering tooling. Partner with clinical, product, and safety stakeholders to ensure responsible healthcare-grade AI. Mentor teammates, communicate model behavior clearly, and stay current with emerging AI research and development practices.

Leads AI engineering strategy across clinical, patient, and operational products. Designs and operates production retrieval, orchestration, agentic, and evaluation systems, establishing standards for AI safety, observability, responsible deployment, and reliability. Partners with clinical, product, and executive leaders on the AI roadmap, mentors engineers, evaluates emerging models and tools, and codes regularly in Python.