Artificial Intelligence Jobs in Irvine, CA

Design and implement AI systems and scalable ML models (Python, TensorFlow); build/maintain data pipelines and integrations; apply NLP (NLTK) and deep learning for analytics; deploy and optimize models (including open-weight LLMs); collaborate with stakeholders and continuously learn to improve AI solutions and deployment reliability.

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.

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 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.

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 US commercial marketing activities for a next-generation electrophysiology software platform. Support commercialization strategy, product launch planning, customer insights, go-to-market execution, sales enablement, and cross-functional alignment with R&D, global marketing, and field teams to drive software adoption and platform growth across the US market.

Drive new business and revenue growth for commercial insurance through pipeline development, consultative selling, client relationship management, and quota attainment. Use CRM, analytics, predictive insights, and AI tools to prioritize opportunities, manage sales cadences, forecast revenue, and identify upsell opportunities. Develop strategic growth plans, conduct market and competitive research, collaborate with service and marketing teams, and serve as a trusted advisor to clients.

Lead development and execution of global TTVR business strategy, deliver actionable intelligence and connected analytics, support executive decision-making, drive strategy activation and adoption across functions and regions, lead strategic initiatives and special projects, and frame evidence and adoption priorities to advance therapy commercialization.

Lead enterprise-wide contract management, negotiating and drafting contracts (NDAs, RFPs, SaaS/cloud and vendor agreements), advising business units on risk allocation, overseeing contract lifecycle and outside counsel, ensuring compliance with privacy, information security, and regulatory requirements, and managing a contracts team and budget.

Provide legal counsel for Interventional Cardiology Therapies with focus on digital health. Advise digital health programs and software teams on regulatory, privacy, data protection, SaMD, AI/ML governance, and cybersecurity. Negotiate commercial and privacy agreements, support product lifecycle risk management, coordinate with Privacy, InfoSec, Regulatory, COEs and outside counsel, lead training, support transactions and M&A due diligence, and mentor legal team members.

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

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 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 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 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.

Supports consulting clients in identifying, prioritizing, and implementing Generative AI solutions. Responsibilities include facilitating workshops, analyzing requirements and processes, supporting proof-of-concepts, exploring data, developing documentation, testing solutions, tracking project plans, translating business needs into technical specifications, and delivering GenAI training. The role emphasizes Microsoft AI technologies, prompt engineering, Agile and SDLC practices, continuous AI learning, and client collaboration.

Lead post-go-live optimization for Microsoft Dynamics 365 Finance clients. Assess production environments, identify configuration and adoption gaps, prioritize enhancement roadmaps, manage backlogs, and guide design, testing, and releases. Advise finance and operations leaders, improve data integrity and user experience, identify Copilot and agentic AI opportunities, review engagement quality, mentor consultants, and contribute to consulting methodologies and practice growth.

Design, build, deploy, and maintain AI-driven web applications, services, and agentic workflows using Anthropic APIs and Claude. Develop Python REST APIs, React/TypeScript front ends, SQL integrations, DevOps pipelines, monitoring, automated testing, and LLM evaluation frameworks. Optimize prompts for reliability, safety, and cost, debug non-deterministic agent behavior, document system decisions, and collaborate with stakeholders to deliver secure, scalable AI solutions.

Develop and maintain full-stack web applications using C#/.NET, ASP.NET, SQL Server, JavaScript, React or Angular, Azure, and microservices. Responsibilities include architecture, requirements analysis, coding, testing, debugging, deployment, production support, technical documentation, and troubleshooting across on-premises and cloud environments. The role also applies LLM coding agents, agentic coding, and prompt engineering while collaborating with business users, analysts, QA teams, and vendors.

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.