Top AI Jobs in Los Angeles, CA

Own the end-to-end integration and automation architecture for the MyCDW platform. Design ServiceNow integrations, APIs, event-driven patterns, middleware, data contracts, AI-agent guardrails, automated workflows, and observability. Establish governance, security, coding standards, testing, documentation, and reusable architecture patterns. Evaluate platforms, lead prototypes, resolve complex issues, manage vendors, influence stakeholders, and align solutions with business strategy, compliance requirements, scalability, resilience, and cost objectives.

Build and lead enablement programs for Customer Success and Implementation teams, including onboarding, product training, continuous learning, playbooks, and AI-enabled workflows. Identify performance gaps, translate product updates into practical training, improve adoption of tools and processes, and establish feedback loops with Product, Support, Customer Education, and Product Marketing. The role supports stronger renewals, expansions, customer outcomes, and operational efficiency in a growing SaaS organization.

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.

Lead and operationalize GitLab's Internal Audit function: plan and execute risk-based audits, oversee SOX testing, facilitate enterprise risk management, coach a distributed audit team, implement QA/improvement programs, and report to senior leadership and the Audit Committee.

Build and deploy AI-powered applications and agents for engineers and operators across the rocket manufacturing organization. Responsibilities include full-lifecycle software development, foundation-model integration, retrieval and vector search, evaluation, reliability, testing, continuous integration and deployment, and collaboration with users to define and iterate on solutions. The role uses modern AI, data, cloud, and platform technologies in manufacturing and physical-world environments.

Build and deploy AI-powered applications and agents used by engineers and operators. Responsibilities include full-cycle software development, foundation model integration, retrieval and tool use, evaluation, reliability, continuous delivery, and collaboration with non-software stakeholders. The role involves shipping production-quality systems across cloud and on-premise infrastructure while iterating on solutions for rocket manufacturing and launch operations.

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 M&A, divestiture, and restructuring advisory engagements; analyze market trends and financials; develop strategic frameworks; guide deal value creation and post-merger integration; coach and direct teams; communicate recommendations to clients and stakeholders.

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 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.

The Director will oversee organic growth, SEO strategies, content development, PR integration, and analytics for Golden Hippo's wellness brands, ensuring high visibility in AI and organic search.

Design and deliver generative AI and computer vision models and on-device inference for consumer AR experiences. Prototype research advances, optimize models (compression, quantization, distillation), collaborate across teams, and productionize scalable inference pipelines for mobile and wearable platforms.

Design, build, and optimize scalable PySpark ETL pipelines and integrations (FiveTran, Plaid, APIs). Maintain production ML/LLM pipelines, monitor performance, automate testing, implement CDC and indexing for scale, and collaborate with stakeholders to integrate AI and big-data technologies.

Leads Scribd’s content intelligence and UGC supply portfolio, owning corpus classification, metadata, quality, gap analysis, AI infrastructure, contributor experiences, and content acquisition strategy. Partners with ML, engineering, data science, consumer product, and business development teams to connect content supply with business value. Manages senior product leaders and established engineering and analytics programs while setting portfolio roadmaps and representing content strategy with executives.

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.

Conduct IT, cybersecurity, and technology operations audits using risk-based approaches. Evaluate information security and IT general controls, including access, change, server, and network management. Test systems against policies, contracts, laws, and frameworks; apply data analytics to identify risks and improve audit efficiency. Present findings to management, assess regulatory changes, collaborate with auditees, and support multiple concurrent projects across domestic and international locations.

Leads Belkin’s enterprise marketing AI transformation, including strategy, AI-enabled channel workflows, retail media, lifecycle marketing, content production, measurement, governance, and compliance. Builds a central team and embedded champion network, selects tools, deploys agents and copilots, partners with IT and Data, and drives global adoption. Requires proven production generative AI results, hands-on LLM and agent-tooling fluency, executive communication, rigorous incrementality measurement, and experience building functions from scratch.

Build and scale relationships with Gartner, Forrester, IDC, and other analyst firms. Lead strategic briefings, research report evaluations, analyst positioning, advisory programs, and industry events. Capture market intelligence and translate analyst feedback into guidance for product and go-to-market teams. Educate analysts on supply chain and enterprise AI market developments while positioning o9 as a market leader.

Own executive relationships and business outcomes for hospital partners operating Moxi robot fleets. Monitor utilization, adoption, and reliability data; lead business reviews; diagnose underperformance; manage issue resolution and improvement projects; coordinate cross-functional teams; train clinical staff; activate use cases; and identify fleet expansion opportunities. The role is field-based with approximately 75% travel.

Lead the identification, governance, development, deployment, and scaling of AI solutions for Appeals. Drive AI strategy, design and optimize AI agents, ensure governance and regulatory compliance, coordinate cross-functional teams, manage change and adoption, and measure outcomes to improve quality, efficiency, and user experience.

Lead design and prototyping of AI-enabled solutions for Oncology R&D. Develop data pipelines, feature engineering, analytics, and ML models on healthcare data. Partner with scientific and product teams to deliver usable tools, emphasize rapid iteration and production-readiness, and contribute to engineering standards and documentation.