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.

The ERP AI Engineer - Manager at PwC leads teams in AI/ML engineering, manages client relationships, and designs AI solutions, all while mentoring team members and addressing complex business challenges.

Lead development and implementation of AI governance frameworks, assess risk and controls, manage client engagements, mentor staff, ensure compliance with regulatory frameworks (e.g., NIST/ISO), and promote technology-driven improvements to service delivery.

Lead design and delivery of AI/ML solutions: build and optimize models, transform data into insights, manage projects and budgets, mentor teams, liaise with clients, and uphold technical and professional standards.

Consult with clients to design, build, and integrate AI-enabled business applications across enterprise systems. Analyze needs, implement solutions, provide training and support, use data analytics to inform recommendations, manage project delivery, produce implementation documentation, and align technology with strategic objectives while building client relationships and guiding teams.

As a Staff Applied AI Scientist, you will design and deploy AI systems using LLMs, improve agent performance, and collaborate with engineering to enhance systems for customer impact.

The role involves developing, testing, and validating Generative AI agents and maintaining automated testing standards. Responsibilities include mentoring junior associates, analyzing complex issues, and applying governance controls in AI-driven solutions.

As an AI Engineering Manager at PwC, you will lead the design and operation of AI-powered platforms, mentor engineers, and ensure project delivery excellence while focusing on security and scalability.

The role involves leading teams in Microsoft Dynamics 365 implementations, mentoring junior staff, managing client accounts, and ensuring project quality and success through strategic planning and innovation.

Lead development and implementation of AI-powered contact center and conversational solutions. Guide cross-functional teams to design natural language interfaces using Dialogflow and Amazon Lex, prototype UIs with Figma, conduct usability testing and user research, validate data integrity and security, build stakeholder relationships, and coach teams to deliver high-quality, client-aligned AI products.

Lead architecture and build scalable AI Agents and core backend infrastructure. Drive technical standards, mentor engineers, collaborate cross-functionally, ensure availability, scalability, cost management, and operational excellence across multiple teams and locations.

Design and implement AI/ML solutions, analyze complex problems, mentor junior team members, build client relationships, integrate AI into applications using Oracle data/analytics tools, and collaborate cross-functionally while upholding professional and ethical standards.

Customer-facing senior solutions engineer for developer-led startups. Lead technical discovery, deliver demos and POCs, map customer AI/product initiatives to the Cloudflare Developer Platform, build technical champions, and evangelize platform capabilities across developer and executive audiences. Requires deep platform knowledge and pre-sales experience, with up to 50% travel.

Lead development and implementation of conversational and agentic AI solutions for contact centers. Manage cross-functional teams, translate client requirements into technical specs, design responsive UIs using AngularJS/React/Vue, run usability testing, apply human-centered design, and mentor junior staff while building client relationships to ensure successful delivery of AI-driven products.

Lead design and implementation of conversational and agentic AI solutions for clients, building voice and natural language interfaces, prototypes, and responsive web front-ends. Conduct user research and usability testing, collaborate with cross-functional teams to integrate AI platforms (Dialogflow, Amazon Lex, Azure OpenAI, AWS Bedrock), and apply human-centered design to optimize contact center workflows and customer experiences.

Lead design and delivery of AI-powered agentic architectures and automation across the studio pipeline. Build production-ready AI tools, prototype solutions for asset/tagging/queue management, integrate LLMs and DCC tools, define standards, monitor model drift and system reliability, produce reusable components, drive cross-team adoption, and measure automation impact while partnering with platform, security, and creative teams.

Lead analytics product strategy and AI solutions for Studio Distribution. Partner with business, product, and engineering to align data models, KPIs, and BI platforms (Tableau, Power BI, MicroStrategy). Prioritize AI use cases, unify performance views across channels, drive adoption, and manage a distributed analytics product team to support commercial decision-making.

The Lead AI Product Engineer will design, build, and operate AI agent systems, focusing on architecture, reliability, and performance while collaborating on user-centric workflows.

Design and implement AI agents and Model Context Protocols to integrate enterprise systems (NetSuite, Zuora, Jira) with LLMs. Build secure, SOX-compliant automation and orchestration workflows, measure KPIs, and partner with Finance, IT, and Security to operationalize AI across enterprise applications.

Lead and deliver Pfizer's enterprise AI infrastructure: LLM gateway, model serving, agent runtime, compute provisioning, MLOps, observability, model registry, deployment pipelines, governance/Trust integration, and GxP-compliant auditability across cloud and on-prem environments.

As a Senior AI Engineer, you'll design and implement AI-powered automation tools, maintain LLM-based systems, ensure data quality, and enhance business processes through AI solutions.

Lead the development of innovative AI solutions, guide teams through complex challenges, and collaborate with diverse stakeholders to enhance operational effectiveness and achieve strategic objectives.