Top AI Jobs in Los Angeles, CA

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 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.

Manage AI engineering teams and client relationships, drive project deliverables, mentor staff, and uphold quality standards while leveraging advanced technologies.

Lead the creation of innovative AI solutions for healthcare systems, serve as a trusted advisor, foster collaboration, and drive operational excellence while managing complex challenges in healthcare AI.

As a Senior Manager in Data and Analytics Engineering at PwC, you'll design data architecture strategies for healthcare, mentor teams, influence stakeholders, and enhance healthcare operations through data solutions.

The Software Engineer II will develop AI capabilities, implement workflows, manage integrations with LLM providers, and enhance the TrakSYS platform while ensuring security and reliability.

Design, implement, and deploy scalable AI/ML systems. Perform data wrangling, preprocessing, and advanced algorithm development. Collaborate with cross-functional teams to integrate AI solutions, analyze complex datasets for business insights, and support client engagements while continuously improving technical skills.

Support development and implementation of AI governance frameworks, assess governance/risk/controls, gather requirements, document processes, synthesize findings, advise on regulatory compliance, and help design scalable control programs for clients.

Develop and manage AI governance frameworks and risk-control assessments. Translate technical AI concepts for non-technical stakeholders, analyze regulatory and compliance risks, design governance models and controls, interpret data to inform recommendations, build client relationships, collaborate on solutions, and mentor junior team members.

The role involves leading AI strategy and implementation, overseeing teams, managing client accounts, and delivering strategic business solutions to enhance client value.

Lead and scale a sales team targeting AI startups and digital-native companies to drive new logo acquisition and expansion. Own revenue targets, recruit and coach sellers, position Cloudflare products (Workers AI, R2, network security) to technical buyers, and partner with Product, Growth, and Marketing to convert self-serve developer usage into enterprise deals. Act as executive sponsor for startup and VC relationships and operate at the intersection of PLG and top-down enterprise sales.

Lead strategic advisory for M&A, divestitures, and restructurings; analyze market trends and risks; develop and execute deal and value-creation strategies; drive business development; maintain executive client relationships; mentor teams; promote AI and technology-driven value creation while ensuring quality, integrity, and compliance.

Lead deal-strategy engagements across M&A, divestitures, and restructuring. Analyze markets, build financial models, identify risks/opportunities, design value-creation strategies, manage projects, and mentor teams while leveraging technology and innovation to drive client outcomes.

Lead strategic advisory for mergers, acquisitions, divestitures, and restructuring. Analyze market trends, build strategic frameworks, identify risks and value creation opportunities, guide deal execution and post-merger integration, direct and coach teams, and communicate clear, impactful recommendations to clients and stakeholders.

Teach in-person Applied AI course using CodePath curriculum for ~25-75 students. Prepare and deliver engaging lessons on generative models and LLMs, coordinate with program manager, co-instructors, and TAs, implement curriculum improvements based on feedback, and hold weekly TA meetings during the Fall term (Aug–Dec).

Lead data onboarding, validation, and vendor management for the Marketing Data Platform. Define requirements, run UAT, develop Databricks/SQL analyses, build and deploy AI-enabled no-code/low-code solutions, ensure data quality and regulatory compliance for consumer outreach programs.

AnySignal is offering internships for undergraduate or graduate students in various fields including cloud computing, AI, and embedded systems. Applicants can submit resumes and relevant work examples.

Develop and deploy machine learning systems for Mars missions, enhance atmospheric modeling, and integrate multi-modal data for autonomous science.

The role involves developing machine learning systems for Mars atmospheric modeling and multi-modal data fusion, contributing to autonomous science in space missions.

As a Lead Product Manager, you'll drive AI-based consumer products from concept to commercialization, managing strategy, execution, and P&L while collaborating with cross-functional teams.

Build and maintain AI platform infrastructure, connectors, API integrations, and custom AI-powered applications. Implement authentication, data pipelines, and tooling to embed LLM capabilities across teams. Contribute code, documentation, reviews, and enablement while ensuring security and compliance for government requirements.

Build and lead an enterprise AI platform: design infrastructure, integrations, and custom AI applications. Own provider/tool selection, deploy production model pipelines and connectors, ensure compliance with government security requirements, mentor engineers, and deliver company-wide AI enablement and training.

Build and operate an enterprise AI platform and integrations that connect LLMs to internal systems. Develop production AI applications, manage model/provider evaluations, ensure security/compliance for government environments, and deliver company-wide AI training and enablement.

The VP, Risk Transformation will lead initiatives that modernize risk and operational activities using AI and automation, enhancing decision-making, efficiency, and adherence to regulatory standards.