Top AI Jobs in Los Angeles, CA

Lead identification, evaluation, and prioritization of external drug candidates, platforms, and partnerships to accelerate preclinical and early clinical development. Advise senior leaders, drive strategic alignment across P&TS and Discovery Network, evaluate computational and AI-enabled technologies, guide diligence and portfolio decisions, and champion innovation to advance Pfizer’s research pipeline.

The VP of Agentic Systems will lead data science research and development, focusing on AI systems to enhance cybersecurity operations, requiring strong leadership and collaboration across technical teams.

Serve as a global SME for Industrial Metaverse technologies (PLCs, IoT, cloud/edge, digital twins, AI, EMC/RED, cybersecurity). Lead standards work, develop test programs, perform and supervise complex testing, train staff, represent UL externally, and support clients and continuous improvement across regional or global labs.

As a Staff Product Manager, you'll drive the strategy and success of SIEM products, collaborating with various teams to fulfill customer needs and market demands while focusing on security for SMBs.

Design and implement AI models for robotic manufacturing, develop simulation tools, and ensure model transfer from simulation to reality while optimizing ML models in production.

The Principal AI Engineer will lead the development of AI systems, manage agentic delivery tools, define KPIs, and mentor engineers while ensuring effective integration and adoption across teams.

The role involves designing and operating real-time AI systems for sports analysis, integrating various data signals under tight constraints and mentoring other engineers.

Design and implement conversational and agentic AI solutions, including contact-center integrations, voice and natural language interfaces. Prototype UIs, conduct user research and usability testing, build responsive web components, optimize workflows, and collaborate with cross-functional teams to align AI strategies with client objectives.

Lead and manage Dynamics 365 F&O Finance and Project Accounting implementations: supervise teams, manage client engagements, gather and convert requirements, configure D365, design integrations, run testing and training, provide post-go-live support, and ensure solutions meet PwC methodologies and quality standards.

Lead and manage AI engineering teams to design, build, and deploy ML solutions and cloud-native AI applications. Oversee project planning, budgeting, quality, and client relationships while mentoring staff, driving innovation, and ensuring delivery of scalable, production-ready AI systems.

Lead AI-focused P&C insurance engagements: analyze client needs, design and implement AI-enabled operational solutions, manage project budgets/timelines, coach teams, train clients, and ensure successful adoption, governance, and continual improvement of solutions.

Serve as a Microsoft Dynamics 365 functional lead delivering client-facing assessments, design, configuration, fit/gap analysis, functional requirements, data migration, testing, training, and project coordination. Advise on D365 solutions across Sales, Service, Marketing, and Support, support proposal and business development efforts, and provide leadership and mentorship to project teams while ensuring quality deliverables and stakeholder alignment.

Lead development and delivery of healthcare AI/GenAI solutions for health systems, architecting RAG pipelines, agentic workflows, and MLOps. Oversee global teams processing clinical and claims data, engage executive stakeholders, translate clinical workflows into production-grade AI use cases, ensure HIPAA-compliant deployments, and drive measurable clinical and operational impact.

Serve as a Dynamics 365 functional consultant delivering D365 solutions (F&O/CE/Project Operations), analyze client needs, configure/customize systems, manage project tasks, mentor junior staff, and ensure timely, high-quality delivery while advising on complex business cases.

Consult with clients to analyze, design, implement, and support AI-enabled business application integrations. Provide training, documentation, project delivery, and analytics-driven recommendations to improve operational efficiency and align technology with strategic goals.

Senior Manager to lead large Microsoft Dynamics 365 CRM (D365 CE) implementations: manage delivery, design functional solutions, advise senior clients, coach teams, translate requirements into architectures, and ensure operational excellence across the project lifecycle.

Lead design and delivery of conversational and agentic AI solutions for client contact centers. Manage cross-functional teams, conduct user research and usability testing, develop UI prototypes and implementations (AngularJS, HTML5, Figma), implement conversational platforms (Dialogflow, Amazon Lex), mentor junior staff, and manage client relationships to ensure successful project execution.

Lead development and implementation of AI governance frameworks, assess risk and compliance, manage client engagements, and mentor staff. Provide strategic advice on regulatory landscapes, design governance models, enhance internal controls, and promote technology adoption to improve service delivery and project outcomes.

Lead design, build, and operation of scalable, secure AI-enabled platforms. Mentor engineers, manage delivery, ensure reliability and security, collaborate cross-functionally, and implement conversational AI and cloud-native solutions.

Lead and mentor data science and ML engineering teams to design and deliver AI/ML solutions. Manage client relationships, translate business problems into AI architectures, implement models and MLOps pipelines, leverage Oracle data tools, and ensure quality, innovation, and responsible AI practices.

Develop, test, and validate Generative AI agents and data pipelines; implement automated testing and governance controls; analyze complex issues and provide actionable insights; mentor junior associates; ensure quality, scalability, and alignment with PwC standards while collaborating with multidisciplinary teams.

Lead design and implementation of healthcare data architecture and pipelines, influence stakeholders, mentor teams, ensure regulatory compliance (HIPAA/PHI), apply interoperability standards, and drive data-enabled improvements in health system operations.

Lead strategic advisory for M&A, divestitures, and restructuring. Analyze market trends, build financial models, identify risks/opportunities, and develop value-creation strategies. Manage client projects, mentor teams, and drive technology-enabled solutions to optimize deal outcomes.

Lead design and delivery of conversational and agentic AI solutions for advisory clients, focusing on AI-powered contact center systems, NLP interfaces, UX design, usability testing, stakeholder engagement, team coaching, and ensuring data integrity and security within AI and analytics frameworks.

Lead AI governance projects by assessing governance, risk, and controls; translate technical AI/ML concepts for non-technical stakeholders; design and evaluate governance models, policies, and control programs; analyze data to inform recommendations; build client relationships and mentor junior staff while ensuring regulatory compliance and professional standards.