Top AI Jobs in Los Angeles, CA

Lead development and adoption of Medical Insights capabilities across Medical Affairs, applying advanced analytics and AI to translate medical data into actionable insights. Drive strategy, governance, use-case prioritization, tool requirements, stakeholder alignment, value measurement, and adoption to inform evidence generation, medical strategy, and decision-making across cross‑functional and global teams.

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 product strategy and execution for mission-focused software by engaging customers, guiding cross-functional teams, managing risk, improving discovery, mentoring product managers, and supporting business development for national security applications.

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.

As a Staff Product Designer at FloQast, lead design strategy for AI-driven product capabilities, mentor teams, and ensure design consistency across platforms while enhancing user experiences and stakeholder communication.

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 technical vision for AI and platform infrastructure across the company. Solve ambiguous, high-stakes problems end-to-end, set architecture and paved-road standards, guide AI provider selection, ensure compliance for government environments, mentor engineers, and drive adoption of best practices in DevOps, CI/CD, developer experience, and compute infrastructure.

Lead design, build, and operate Pfizer's enterprise AI platform including LLM gateway, model serving, agent runtimes, compute provisioning, MLOps pipelines, observability, model registry, and GxP-compliant deployment and governance. Manage multi-pod engineering teams, drive IaC and multi-cloud practices, enable federated teams, and implement runtime guardrails, monitoring, and audit trails for agentic and production AI workloads.

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.

Design and implement conversational and agentic AI solutions, build natural language interfaces and voice experiences, prototype UIs, conduct user research and usability testing, integrate AI platforms into contact center systems, and collaborate with cross-functional teams to optimize user interaction engineering and client outcomes.

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 governance engagements: develop and implement governance frameworks, assess risk and controls, manage client projects, mentor staff, ensure compliance with regulatory frameworks, and promote technology-driven improvements.

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 design and delivery of AI-driven P&C insurance operations solutions: analyze client needs, architect and implement AI/software solutions, manage projects and budgets, coach teams, train clients, ensure adoption, and maintain standards, governance, and evaluation practices to drive operational efficiency and innovation.

Lead deal-focused strategic advisory for M&A, divestitures, and restructuring. Analyze markets, build financial models, identify risks and value-creation opportunities, manage projects and client relationships, and mentor junior staff to deliver high-quality outcomes.

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 tech-enabled deal advisory across M&A, divestitures, and restructuring. Set strategy, guide complex transactions, identify risks and value-creation opportunities, drive AI and technology-led initiatives, maintain executive client relationships, and mentor emerging leaders.

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.