Artificial Intelligence Jobs in Santa Ana, CA

Leads the full product lifecycle for an AI-powered education product, including discovery, UX research, product strategy, prioritization, success metrics, prototyping, and delivery. Partners with engineering, design, school districts, customers, and executives to align teams and ship impactful solutions. Evaluates engagement and performance, coordinates cross-functional sprints, and iterates agentic processes to improve effectiveness and scalability.

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.

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.

Leads the AI Governance Program for a regulated mortgage lending division. Establishes governance structures, policies, risk-tiering methods, controls, use-case lifecycle processes, third-party AI oversight, and audit-ready documentation. Coordinates reviews across legal, compliance, security, privacy, data governance, model risk, vendor management, and enterprise risk teams. Reports AI governance KPIs and KRIs to senior leadership while providing independent challenge and ensuring AI systems meet regulatory and organizational requirements.

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.

Leads sourcing strategies for AI, cloud, and SaaS categories; evaluates technology providers, purchasing models, and market opportunities; manages complex technology spend; advises senior leaders; builds stakeholder alignment; and supports the development of strategic category management capabilities within the Enterprise Sourcing Office.

Leads an HR Solutions team delivering global HR service transformation and shared-services improvements. Oversees change management, process design, technology adoption, AI-enabled solutions, Workday workflows, and continuous improvement initiatives. Uses data and large datasets to identify trends and improve service delivery, efficiency, and associate experience. Establishes success measures, manages project portfolios, develops talent, and collaborates across HR and business functions to drive scalable operational excellence.

The Legal Technology and AI Attorney applies restructuring expertise to identify, evaluate, and implement AI-enabled tools, automation, knowledge resources, and technology-supported workflows. The role develops templates, playbooks, guidance, and practice-support systems; pilots emerging technologies; trains attorneys and staff; and collaborates with legal, technology, research, and administrative teams to improve efficiency, consistency, and scalability in restructuring matters.

Supports litigation teams by evaluating, configuring, and implementing AI and legal technology workflows. Develops prompts, AI-assisted research and drafting processes, litigation analytics solutions, governance frameworks, training materials, and best practices. Collaborates with attorneys, IT, Information Security, and Knowledge Management to improve document analysis, legal research, case preparation, and technology adoption.

Attorney supporting the intersection of technology, AI, and legal practice. Responsibilities include identifying AI and automation opportunities, evaluating and implementing legal technology tools, designing workflows, maintaining knowledge assets, analyzing legal work product, training attorneys and staff, and advising Tech & Innovation lawyers. The role requires at least four years of technology-focused legal experience, bar admission, strong communication skills, and an interest in workflow design, tool development, or process improvement.

Build and operate backend services, batch and real-time data pipelines, document-processing systems, APIs, integrations, and data models supporting an AI platform. Develop reliable OCR and LLM workloads, data quality monitoring, secure exports, cloud infrastructure, and CI/CD workflows. Design for distributed-system failures, authentication, authorization, and sensitive-data protection. Contribute to architecture decisions, maintain legacy services, support internal tools, mentor junior engineers, and improve engineering standards.

Architects, operates, and improves cloud data and analytics platforms and BI infrastructure. Owns platform standards, CI/CD, reliability, monitoring, incident response, security, governance, performance, and technical documentation. Leads onboarding and enables engineering and client teams through reusable patterns and guardrails. Requires production platform ownership, cloud data and BI expertise, accounting experience, scripting, SQL, troubleshooting, and cloud fundamentals.

Performs technology-focused internal audits across cloud, AI, IAM, SDLC, vulnerability management, and infrastructure domains. Evaluates control design and operating effectiveness, develops audit documentation, conducts risk-based testing and data analysis, identifies findings, recommends remediation, and validates corrective actions. Partners with global stakeholders and presents audit results, emerging risks, and control enhancements to senior management and governance committees while managing multiple audits.

The AI AppSec Engineer V will secure AI solutions, mentor teams, and ensure the integration of security into AI development lifecycles. Responsibilities include threat modeling, code analysis, and contributing to security policies.

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.

Lead end-to-end delivery of a high-visibility real-time technology platform, coordinating business stakeholders and engineering teams. Translate requirements into technical tasks, API specifications, and sprint backlogs; facilitate Agile ceremonies; manage risks, dependencies, milestones, and project health reporting. The role requires strong software delivery, consulting, stakeholder management, SDLC, and Agile expertise, with on-site availability in Irvine two to three days weekly for an estimated six-month engagement.

Build and deploy production AI solutions that improve business workflows, including AI agents, copilots, RAG systems, automations, and decision-support applications. Partner with teams across the organization to translate business needs into technical solutions, integrate enterprise platforms, establish testing and governance, and support user adoption. Evaluate emerging AI technologies and continuously improve solutions for reliability, security, scalability, and business value.

Leads technical program execution across 55+ production services while personally designing, building, and productionizing AI-agent automation. Responsibilities include program planning, incident and RCA tracking, executive reporting, workflow automation, API integrations, telemetry, reconciliation, validation controls, auditability, and human-in-the-loop processes. The role requires cross-functional leadership, executive communication, operational expertise, and hands-on delivery of reliable automation in complex technology environments.

Transactional attorney supporting M&A and Private Equity practices by identifying, evaluating, and implementing AI-enabled tools, document automation, prompt libraries, and knowledge workflows. The role enhances drafting resources, precedents, and knowledge infrastructure; analyzes market practice and legal materials; trains attorneys and staff; and translates legal judgment into scalable technology solutions. Requires at least four years of M&A or Private Equity experience, legal admission, strong communication skills, and interest or experience in workflow design, technology building, or process improvement.

Leads the bank’s enterprise AI strategy, portfolio, engineering capability, governance, vendor and platform strategy, and workforce adoption. Translates business priorities into production AI initiatives, including generative AI and agentic systems, while ensuring risk controls, security, privacy, auditability, model governance, and measurable value realization. Builds and manages senior AI talent, partners with business and control functions, oversees responsible AI practices, and reports progress, cost, risk, adoption, and outcomes to executive leadership and the Board.

Leads Finance enablement strategy, product adoption, transformation, and user experience across the Global Finance Hub. Partners with product owners and Finance leaders to build scalable capabilities, improve ways of working, support new technologies, and align with enterprise centers of excellence. Oversees product enablement, learning, change management, automation, and AI governance while developing a multidisciplinary team and connecting capability initiatives to measurable business outcomes.

Leads large, complex customer technology programs from scoping through deployment and operational handoff. Serves as the primary executive customer interface, translates business objectives into program plans, coordinates Technical Project Managers and cross-functional teams, manages budgets, risks, dependencies, governance, and contractual commitments, and drives delivery across product, engineering, solutions, and operations. The role also supports enterprise-scale expansion, stakeholder alignment, and continuous improvement of program-management practices.

Supports FP&A and enterprise analytics by developing scalable Power BI reporting, financial models, dashboards, and automated processes. Analyzes financial and operational datasets to identify trends, risks, and opportunities; improves forecasting, budgeting, and recurring reporting workflows using Excel, Python, SQL, Power Automate, and Microsoft platforms. Collaborates with finance, data engineering, IT, and business stakeholders, trains users, maintains governance standards, and contributes to the Pigment planning platform. Evaluates AI-enabled tools to improve reporting efficiency, data quality, and decision-making.

Provide technical leadership across engineering teams by defining architecture, building reusable cloud-native platforms, and designing distributed systems and production AI applications. Establish engineering standards for reliability, security, observability, governance, and operational excellence. Mentor senior engineers and technical leaders, influence architecture through collaboration, and drive modernization, AI-assisted development, and platform engineering initiatives.

Lead distributed engineering teams building and operating cloud-native, AI-powered software systems. Responsibilities include hiring, coaching, performance management, delivery planning, technical decision-making, cross-functional partnership, AI-assisted development adoption, operational excellence, metrics, incident reviews, and continuous improvement. The manager will establish scalable engineering processes, guide architecture, improve reliability and productivity, and ensure secure, observable, resilient, and maintainable software delivery.