Artificial Intelligence Jobs in Fremont, CA

Leads IT audit engagements assessing digital environments, processes, controls, cybersecurity, data integrity, and AI systems. Manages client relationships, audit teams, project delivery, compliance challenges, data quality validation, governance improvements, and risk management. The role also involves mentoring staff, applying IT governance frameworks, promoting innovative audit technologies, and ensuring assurance standards are met.

Provides client-focused tax consulting services, including global tax strategy, compliance, consolidated tax returns, income tax provisions, corporate planning, transaction support, post-deal integration, tax modeling, and purchase and sale agreement analysis. The associate researches tax matters, supports senior staff, collaborates across teams, and develops technical, client service, and consulting skills while pursuing or completing a Juris Doctor degree and preparing for the Bar exam.

Supports AI governance projects by assessing risks and controls, documenting processes, gathering requirements, analyzing information, and synthesizing findings. Advises clients on regulatory compliance, risk management, internal controls, and governance improvements. The role involves applying AI/ML governance frameworks such as NIST and ISO, translating technical concepts for stakeholders, collaborating with diverse teams, and developing expertise in corporate governance and risk management.

Lead AI governance engagements by developing governance, risk, and control frameworks; analyzing regulations; managing client projects; mentoring staff; assessing AI/ML lifecycle risks; and advising stakeholders on compliant, transparent, and responsible technology adoption.

Leads enterprise AI governance initiatives, including governance frameworks, risk and compliance programs, controls, regulatory assessments, and responsible AI practices. Advises executive clients, oversees complex engagements, drives business development, develops innovative solutions, mentors teams, and translates technical AI governance concepts into actionable strategies. Requires expertise in AI/ML governance, risk, controls, audit, testing, validation, AI lifecycles, and leading frameworks such as NIST and ISO.

Designs and optimizes AI and machine learning solutions, transforms data into insights, and develops production AI systems. Responsibilities include building data infrastructure, speech recognition and NLP tools, and reusable evaluation and monitoring capabilities. The role independently tests AI systems for performance, robustness, bias, explainability, and failure modes; evaluates technical controls; documents findings; communicates recommendations to clients; and mentors junior team members.

Leads engineering teams delivering scalable AI and machine learning solutions on Google Cloud. Oversees generative AI architecture, Vertex AI, LangChain, LangGraph, LLM APIs, RAG, experimentation, evaluation, guardrails, and LLMOps. Guides technical strategy, client alignment, delivery execution, and team development while applying Python, data science, and machine learning methods to build reliable AI products.

Leads AI and data solution architecture for client transformation programs. Designs generative AI, data modernization, LLM, vector database, RAG, and LLMOps solutions; develops roadmaps and evaluation frameworks; advises executives; drives innovation; manages workstreams, client relationships, business growth, thought leadership, and team mentorship.

Develop AI governance frameworks aligned with industry standards, assess AI risk and control programs, interpret regulations and data, and provide actionable recommendations. The role involves client relationship management, translating technical concepts for nontechnical stakeholders, mentoring junior staff, and supporting AI governance policies, controls, audit, testing, and validation across complex regulatory environments.

Leads Google Cloud AI and machine learning engineering teams and client workstreams. Oversees generative AI, LLM application, agent orchestration, retrieval-augmented generation, model evaluation, prompt engineering, guardrails, and LLMOps initiatives. Reviews architecture, code quality, testing, and solution delivery using Vertex AI, LangChain, LangGraph, Python, and LLM APIs. Coaches team members, improves reusable delivery assets, and manages client relationships, timelines, quality, and expectations.

Leads client-focused generative AI and data modernization architecture, translating business needs into scalable solutions using Google Cloud, Vertex AI, LLMs, vector databases, and modern data platforms. Advises stakeholders, develops AI evaluation and guardrail practices, guides experimentation and deployment, presents technical recommendations, supports proposals, and coaches teams through complex transformation programs.

Lead customer robot deployments from workflow discovery and site assessment through scoping, financial modeling, technical alignment, execution, acceptance testing, training, and handoff. Partner with engineering, research, safety, solution engineering, customers, and external teams to define requirements, success metrics, dependencies, and milestones. Translate field feedback into deployment practices while managing scope changes, implementation tradeoffs, customer value, utilization, and support needs.

Build infrastructure and tooling for AI evaluations, including distributed scoring engines, task-set validation, grader systems, human-review calibration, statistical leaderboards, online feedback capture, and offline-to-online evaluation loops. Partner with product, engineering, data, and ML teams to deliver reliable, observable evaluation workflows that support faster and more trustworthy AI product development.

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.

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.

Lead corporate affairs and public policy communications for an AI video company. Develop positions on responsible AI, creative rights, safety, privacy, and content moderation; manage sensitive issues and external responses; prepare executives for media, policymaker, and stakeholder engagement; and coordinate messaging across Legal, Product, Trust & Safety, Communications, and enterprise teams.

Leads HackerOne’s partnership sales strategy, revenue performance, and team of seven Channel Account Managers. Builds and scales reseller, technology alliance, and cloud marketplace partnerships, including AWS. Establishes operating models, metrics, forecasting, enablement, and accountability while developing executive partner relationships. Collaborates with Sales, Marketing, Revenue Operations, Legal, Customer Success, and Product to drive partner-sourced and partner-influenced pipeline, revenue, and durable growth.

Build and manage a global Afterpay and Cash App sales enablement and training strategy across North America, the UK, and APAC. Own the internal content platform, facilitate training, communicate product and business updates, collaborate with revenue and GTM leaders, and use AI to scale learning programs. Measure program impact on sales performance while adapting enablement initiatives to regional needs.

Develop customer-specific AI solutions for consequential business decisions. Investigate internal and public information, evaluate evidence, identify uncertainty, and design reliable AI workflows. Work directly with customers to understand needs, prototype solutions, test them with users, and improve their usefulness. Translate successful workflows into repeatable product capabilities while partnering with engineers on integrations and missing technical functionality.

Own the strategy, roadmap, architecture, and adoption of the company’s central data infrastructure and BI platform. Partner with analytics, engineering, and business teams to establish trusted KPI reporting, semantic models, scalable warehousing, BI and ETL tooling, clear SLAs, and AI-powered self-service insights. Translate ambiguous needs into testable requirements, evaluate technical solutions, prototype quickly, and measure adoption, quality, and reporting efficiency.

Own end-to-end analytics engineering for AI and developer experience data. Instrument telemetry, build governed production pipelines, define trusted metrics, and create executive-facing dashboards and analyses. Partner with data engineering, AI, and data science teams to improve data quality and connect raw signals to decision-making. Present clear recommendations on AI investment, developer productivity, and ROI while using AI coding agents to build and maintain pipelines, dashboards, and analyses.

Own end-to-end analytics pipelines for AI usage, developer experience, engineering productivity, and spend. Instrument telemetry, build governed ETL workflows, define trusted metrics, and create executive dashboards and visual narratives. Analyze results, recommend improvements to AI ROI and developer experience, and communicate methodology to senior stakeholders. Collaborate across data engineering, applied AI, and data science while using AI coding agents to build, test, and maintain production data systems.

Own commercialization of Block’s emerging AI portfolio from product and pilot stages through scaled enterprise adoption. Develop market strategy, pricing, packaging, partnerships, and routes to market; secure lighthouse customers and strategic partners; design pilots that convert to production relationships; create repeatable sales and partnership processes; and build the commercial organization as product-market fit develops.

Lead commercialization of emerging AI products by winning enterprise customers and strategic partners, structuring pilots, converting engagements into scaled relationships, and owning partnerships from negotiation through launch and optimization. Collaborate closely with Product and Engineering to shape offerings, validate product-market fit, develop pricing and commercial models, and build a scalable go-to-market strategy.