Artificial Intelligence Jobs in Irvine, 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.

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.

Own the vision and strategy for Toast’s computer vision products across enterprise drive-thru operations. Lead zero-to-one discovery, prototyping, pilots, commercialization, and scaling of AI and hardware-enabled solutions. Define roadmaps, evaluate technology and vendor strategies, conduct customer research, and align Engineering, Design, Hardware, Sales, Legal, and other teams. Drive product adoption, customer value, and enterprise growth while balancing technical performance, scalability, cost, and operational complexity.

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.

Develop and implement AI solutions and machine learning systems that enhance products and solve complex client problems. Responsibilities include advanced analytics, LLM production deployment, prompt engineering, RAG pipeline optimization, cross-functional collaboration, technical discovery, responsible AI advocacy, client relationship building, and mentoring junior team members.

Implements and configures Oracle HCM Cloud solutions for clients, including Absence Management, Benefits Administration, and Talent Management. Analyzes HR processes and workforce data, develops BI Publisher reports, supports HR transformation and change initiatives, and advises on strategic workforce planning. The role also involves client relationship management, business process improvement, AI and digital tool integration, mentoring junior consultants, and delivering high-quality enterprise technology solutions.

Designs and deploys scalable AI and machine learning systems using Python and TensorFlow. Responsibilities include data wrangling, complex analysis, NLP, deep learning, data pipeline management, data integration, and model optimization. The role also involves stakeholder collaboration, aligning AI initiatives with business goals, mentoring junior team members, and contributing to data infrastructure and engineering practices.

Lead design and implementation of Microsoft Dynamics 365 solutions, supervise and mentor teams, manage project delivery, translate complex requirements into technical designs, handle data migrations and integrations, and build strong client relationships while improving service delivery.

Leads enterprise Research Operations strategy, operating models, governance, tooling, AI-enabled workflows, measurement, and transformation. Partners with executive stakeholders, oversees vendors and budgets, establishes research standards, scales operational capabilities, and mentors the Research Ops community. Represents the discipline externally and drives measurable improvements in research quality, efficiency, and organizational impact.

Leads enterprise technology strategy and the technology organization across applications, data and analytics, infrastructure, operations, and cybersecurity. The CIO aligns technology investments with business goals, modernizes platforms and operating models, strengthens cybersecurity and compliance, establishes data governance, and enables automation and AI. The role builds high-performing teams, manages vendors and budgets, advises executive leadership and the Board, and supports technology adoption across a distributed construction organization and active jobsites.

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.

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 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.

Two-year early-career rotational program with three cross-functional assignments focused on data engineering and analytics. Participants create analytical reports, work with machine learning and artificial intelligence, lead intensive business projects, and develop technical, interpersonal, and leadership skills. The program provides exposure to the full data lifecycle, business strategy, and continuous improvement, with potential placement into a post-program role.

Leads Ingram Micro’s global AI partner enablement program, developing curriculum, certification paths, readiness assessments, and learning journeys. Manages global cohorts, vendor-funded initiatives, cross-functional teams, governance, reporting, and partner adoption. The role drives AI capability, certification, monetization, and measurable revenue outcomes across countries and business units while collaborating with engineering teams, hyperscalers, and technology partners.

Own and grow enterprise accounts across Southern California, driving revenue and gross profit through strategic technology sales. Develop account plans, identify and close complex opportunities, build executive relationships, coordinate technical teams and partners, maintain pipeline discipline, and forecast accurately. Sell cloud, cybersecurity, AI, data, infrastructure, consulting, and managed services solutions to enterprise customers.

Own the strategy, roadmap, delivery, adoption, and continuous improvement of sales technology products supporting commercial operations and field sales. Lead Salesforce CRM and related platforms, product backlogs, Agile delivery, stakeholder alignment, process transformation, analytics, AI initiatives, and sales enablement solutions. Drive measurable improvements in seller productivity, CRM adoption, forecasting, customer engagement, and commercial outcomes while partnering across business and technology teams.

Owns and evolves the legal department’s technology ecosystem, including CLM and ELM platforms, workflows, integrations, support, and optimization. Leads legal technology transformation initiatives, budgets, implementations, UAT, training, change management, and stakeholder engagement. Evaluates emerging AI and automation tools, builds low-code workflows, tracks platform metrics and ROI, and partners with Legal, IT, Product Management, and business teams to improve legal service delivery.

Develops, tests, and optimizes signal-processing and physiological measurement algorithms for medical devices. Analyzes clinical and physiological datasets, performs modeling and experimentation, and supports algorithm development from feasibility through validation and product integration. Collaborates with software, hardware, systems, clinical, and quality engineering teams, and contributes to clinical data collection and human-subject study analysis.

Manages mission-critical data center physical security design projects from kickoff through closeout. Responsibilities include coordinating multidisciplinary design teams, managing scope, schedules, budgets, quality assurance, construction administration, client meetings, field surveys, contract documents, Revit drawings, specifications, submittals, RFIs, acceptance testing, and closeout. The role also performs QA/QC and develops security assessment reports and recommendations.

Lead AFSG’s analytics strategy and operating model, overseeing analytics initiatives that connect business priorities, performance metrics, client experience, and operational outcomes. Advise senior leaders, translate complex business questions into actionable insights, guide advanced analytics and AI initiatives, and develop a high-performing team of managers and analysts. Drive analytics modernization, operational excellence, continuous improvement, and data-driven decision-making.