Artificial Intelligence Jobs in Irvine, CA

Leads total rewards and compensation programs for AbbVie’s Allergan Aesthetics and Commercial businesses globally. Responsibilities include compensation modeling, benchmarking, job architecture, pay-range development, incentive compensation guidance, demographic and workforce analytics, and recommendations to business leaders. Partners with HR, Talent Acquisition, Sales Planning, and global Total Rewards teams to ensure competitive, equitable, compliant, and strategically aligned rewards programs. Coaches global team members and serves as a compensation subject-matter expert.

Leads Tableau’s global Solution Engineering organization, defining go-to-market strategy, scaling talent, strengthening executive customer relationships, and positioning Tableau within Salesforce’s AI, data, and CRM ecosystem. Partners across Sales, Product, Engineering, Marketing, Customer Success, and Strategy to drive enterprise transformation, revenue growth, innovation, and customer value. Champions leadership development, inclusion, operational excellence, and Salesforce’s values.

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.

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 design and delivery of advanced data and ML solutions, performing exploratory analysis, statistical modeling, and visualization to inform strategy. Manage and coach teams, collaborate with clients to validate outcomes, and improve analytics processes and data quality to drive business decisions.

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.

Supports implementation, configuration, enhancement, administration, and troubleshooting of Oracle Fusion Supply Chain and RFSmart warehouse applications. Partners with business, IT, vendors, and contractors to gather requirements, design solutions, manage change requests, conduct testing and UAT, support upgrades, and improve processes through automation and AI. Leads application projects, governance, disaster recovery, operational support, and incident resolution while mentoring junior analysts and participating in rotational on-call support.

Leads AI-enabled transformation across clinical development and regulatory operations, including trial acceleration, safety workflows, regulatory submissions, and clinical technology adoption. Partners with Clinical Affairs, Biometrics, Safety, Regulatory, product, data, and engineering leaders to improve cycle time, quality, productivity, and workflow adoption. Requires substantial clinical operations or regulatory experience, database lock and FDA submission experience, and AI-driven pharmacovigilance expertise.

Provides statistical leadership for pharmaceutical research, clinical trials, patient safety, medical affairs, regulatory submissions, and product lifecycle management. Develops statistical, machine learning, and AI methodologies; designs protocols and analysis plans; conducts complex analyses; supports benefit-risk assessment and real-world evidence studies; ensures data and reporting quality; and leads cross-functional collaboration and strategic innovation.

Provides legal counsel to U.S.-based commercial real estate managers and professionals. Drafts, reviews, and negotiates commercial contracts and transactional documents; analyzes legal and business risks; advises executives and field teams; supports transactions; and negotiates with opposing counsel and clients. Requires strong judgment, drafting, problem-solving, collaboration, and organizational skills, along with comfort integrating AI into legal processes.

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.

Lead global go-to-market strategy for Microsoft Cloud, Security, Copilot, and AI solutions. Develop positioning, value propositions, sales plays, launch plans, presentations, enablement content, and centralized sales resources. Partner with services, practice, Microsoft, sales, marketing, alliances, and regional teams to launch offers, improve partner adoption, and measure pipeline influence and asset effectiveness.

Develops and validates deep learning computer vision models for cardiovascular medical imaging, including segmentation, landmark detection, measurements, screening, and clinical decision support. The role advances imaging foundation models, builds scalable data pipelines and MLOps monitoring, evaluates bias and generalizability, and supports verification, validation, risk assessment, regulatory documentation, and production deployment. Collaboration spans clinical, regulatory, quality, engineering, product, and business teams in a regulated healthcare environment.

Leads scientific and technical direction for AI across structural heart applications. Designs, trains, validates, and deploys advanced machine learning models, including foundation, generative, multimodal, clinical language, imaging, and waveform models. Evaluates emerging technologies, establishes scientific standards, mentors technical staff, and partners with engineering, clinical, quality, and regulatory teams on safe, fair, robust, and compliant AI products. Builds data pipelines and MLOps capabilities while supporting model validation, risk management, monitoring, and regulatory documentation.

Build, test, deploy, and productionize AI agents and applications using Microsoft’s AI and cloud stack. Lead customer engagements from discovery through deployment and handoff, applying security, data-boundary, performance, grounding, retrieval, workflow, and governance standards. Collaborate with customers, partners, architects, and practice leads; contribute reusable components, marketplace offerings, and enablement content. Coach engineers and partner delivery teams while helping refine reference architectures and delivery 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.

Designs, deploys, and maintains AI-driven web applications, services, and agentic workflows using Anthropic APIs and Claude. Develops Python REST APIs and React/TypeScript front ends, creates prompt and LLM evaluation frameworks, and manages testing, debugging, security, observability, CI/CD, Docker, and cloud deployment. Optimizes SQL queries and collaborates with business teams to deliver reliable, cost-effective AI solutions.

Manage Salesforce implementation projects from planning through delivery, including Scrum ceremonies, Agile adaptation, timelines, budgets, risks, resources, vendors, and client communications. Collaborate with account, creative, product, technology, and development teams to resolve issues, clarify requirements, and deliver high-quality solutions on schedule. The role also requires consulting experience, Salesforce implementation leadership, strong communication and problem-solving skills, and the ability to leverage AI responsibly.

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.

Leads development, integration, validation, site transfer, and optimization of laser-based and optical tissue manufacturing processes for structural heart valves. Defines system architectures and specifications, manages technical workstreams and suppliers, troubleshoots equipment, executes experiments and process characterization, and supports regulatory-compliant qualification and production ramp-up. Mentors engineers and technicians while advancing laser safety, automation, yield, throughput, and quality across global manufacturing sites.

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.

The Pre-Sales Data and AI Architect will design and operationalize enterprise data architectures, collaborating with teams to ensure effective integration of Salesforce D360 into complex ecosystems while driving customer success through innovative data solutions.

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.