Artificial Intelligence Jobs in Irvine, CA

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.

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 implementation of data architecture for healthcare systems, influence stakeholders, mentor teams, ensure regulatory compliance, enable data integration and transformation, and apply AI techniques to improve healthcare operations and reporting.

Lead and oversee multiple multidisciplinary teams to architect, develop, deploy, monitor, and maintain full-stack AI solutions (including LLM integrations). Provide strategic and technical leadership, drive experimentation and CI/CD practices, ensure quality and stakeholder alignment, promote innovation, and mentor senior and junior team members to deliver business-aligned AI outcomes.

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.

Develop, test, and validate Generative AI agents and data pipelines with automated testing and governance controls. Analyze complex problems, produce actionable insights, mentor junior associates, and collaborate with multidisciplinary teams to deliver AI-enabled client solutions while upholding professional standards and documentation.

Lead development and delivery of healthcare AI/GenAI solutions for health systems—architect RAG and agentic workflows, manage global MLOps and model governance, engage executive stakeholders, and drive production-grade use cases across clinical, financial, and operational domains.

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 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.

Lead design and implementation of Microsoft Dynamics 365 ERP solutions, manage large-scale projects, engage senior clients, build and coach high-performing teams, resolve complex challenges, and drive operational excellence and strategic growth for the firm.

Lead design, build, and operation of scalable, secure AI-enabled platforms; mentor engineers; ensure reliability, security, and delivery of conversational AI and cloud-native solutions; collaborate cross-functionally to translate use cases into platform capabilities.

Lead design and delivery of conversational and agentic AI solutions for client contact centers. Manage teams, mentor junior staff, gather requirements, design UIs, run usability testing, and implement AI integrations to improve customer experience and product adoption.

Lead development of production-grade AI solutions, advise on large projects, and manage high-performing teams. Drive advanced analytics, GenAI chat experiences, stakeholder alignment, and continuous improvement to deliver impactful, standards-compliant results.

Lead Microsoft Dynamics 365 CRM implementations, architect solutions, manage project lifecycles and client accounts, mentor teams, ensure quality and post-go-live support, and drive innovation and continuous improvement.

Lead development and delivery of AI and GenAI solutions for health systems. Serve as strategic advisor, manage teams, ensure HIPAA-compliant deployments, implement MLOps and model governance, translate clinical workflows into AI use cases, and drive stakeholder alignment and operational excellence.

Lead and manage Data Center projects, oversee business development, act as client liaison, and ensure project delivery with exceptional standards.

Lead the development and implementation of machine learning solutions, managing a team to drive strategic decisions and innovative business outcomes.

As an AI/ML Engineer, you will develop multimodal AI models, focusing on computer vision and agentic capabilities. Responsibilities include data curation, model training, evaluation, and deployment while working with real robotic systems.

The AI/Machine Learning Engineer II will design and develop models to analyze data for health monitoring devices, focusing on diagnosis and prediction using various algorithms.

The Sr Engineer will develop AI/ML models for health monitoring devices, focusing on algorithm development, data analysis, and cross-functional collaboration.

Serve as senior technical lead for enterprise AI initiatives, building and maintaining Copilot Studio agents, Power Platform automations, Azure AI integrations, and governance. Translate business needs into scalable solutions, guide citizen development, support M365 Copilot pilots, document architectures and runbooks, and complete structured knowledge transfer at contract end.

The role involves designing AI systems for IC calibration and optimization, collaborating with design teams, and applying ML techniques to analog/mixed-signal circuits.

Lead a global GTM operations team to redesign, automate, and integrate GTM processes with an AI-first approach. Identify, prioritize, and deploy AI/automation solutions and integrations at scale, collaborate with IT and cross-functional leaders, drive adoption and change management, and serve as a trusted advisor to GTM leadership.

The Manager II, Compliance leads the development and implementation of a compliance program, ensures regulatory compliance, manages transparency reporting, and optimizes vendor relationships.

Lead design, development, testing, and deployment of production-grade agentic AI systems. Architect integrations with enterprise systems, drive advanced analytics and experimentation, mentor engineers, and own model lifecycle, reliability, and innovation for agentic/autonomous solutions.