Top AI Jobs in Los Angeles, CA

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

Lead a 50+ person autonomy directorate executing flight and mission autonomy contracts. Oversee P&L, capture efforts, technical strategy, stakeholder briefings, cross-sector integration, risk management, and resource planning to mature and deliver autonomous capabilities for defense customers.

Lead technical execution and architecture for data-centric solutions: acquire, harmonize, store, process, analyze, and disseminate sensor/telemetry data. Serve as thread lead/Product Owner, define enterprise strategy, govern data standards, collaborate with stakeholders, and support risk mitigation and roadmap alignment. On-site role requiring active Top Secret clearance and SAP access.

Lead technical strategy and architecture for data-centric solutions across programs. Oversee data acquisition, harmonization, processing, storage, analysis, dissemination, and product lifecycle. Serve as technical lead/Product Owner, define enterprise data standards, decompose backlogs, prioritize features, advise leadership on analytics opportunities, and ensure mission-focused delivery within high-clearance environments.

Provide legal support for supply chain by drafting, negotiating, and overseeing commercial and government contracts; design policies, templates, and training; advise on FAR/DFARS flow-downs, proposals, and compliance; serve as primary legal contact for stakeholders and external parties; help scale legal processes across the company.

The Director of Data & AI will lead strategies for data engineering, machine learning, and AI integration to enhance operations and automation for rocket manufacturing and launches.

Perform systems engineering for aerospace products including MBSE modeling and simulation, requirements definition and verification, design analyses, documentation, root-cause investigations, cross-functional IPT support, and compliance with aerospace standards to meet schedule, cost, quality, producibility, and reliability targets.

Lead architecture and development of scalable full-stack applications and distributed backend services (TypeScript/React/Node/GraphQL). Drive technical strategy, cross-functional collaboration with manufacturing, robotics, and operations teams, establish engineering best practices, mentor engineers, and deliver production-grade, reliable, observable software for factory and manufacturing platforms.

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).

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.

The VP of AI Strategy & Deployment will lead AI initiatives across GoodRx, focusing on embedding AI into workflows, aligning with business goals, and ensuring enterprise adoption while driving measurable business outcomes.

Embed with teams to audit workflows, build and productionize LLM/agent automations (using Claude and integrations), create reusable assets and guardrails, coach teams to self-sufficiency, and measure outcomes to prioritize future engagements.

The Advisory Agentic Technologist will be the Subject Matter Expert in identity management, driving technical success and strategy, collaborating on agentic AI innovations, and influencing product development, with a focus on the US, Canada, and Latin America.

Design, build, and ship production-grade agentic AI workflows using LangGraph, Temporal, and Pydantic. Implement AI observability with LangFuse, set AI engineering standards (RAG, prompt management, tool-calling), benchmark LLMs, deploy cloud AI (containerization, cost management), and mentor engineers while supporting enterprise SLA, security, and compliance needs.

Lead design, deployment, and operationalization of agentic LLM-driven workflows across GTM systems. Translate business needs into scalable AI integrations, define orchestration and governance patterns, guide engineering teams, ensure security/compliance, and drive stakeholder alignment for enterprise AI programs.

Lead product vision and roadmap for agentic AI across GTM applications. Partner with engineering, data, and business teams to identify AI opportunities in Lead-to-Cash and Customer Success, define epics/user stories, prioritize backlog, set AI KPIs, and drive adoption of LLMs, autonomous agents, and responsible AI practices to deliver automation-first GTM workflows.

As a GTM AI Engineer, design and execute AI-driven workflows for Superhuman's go-to-market stack, improving automation in sales processes and team collaboration.

Lead hands-on engineering delivery of agentic AI solutions for GTM systems. Design and build LLM-powered workflows, autonomous agents, RAG and semantic search pipelines, Salesforce and Slack integrations, CI/CD and observability, enforce AI governance/security, mentor engineers, and drive prototypes to production across enterprise GTM platforms.

Design, build, test, deploy, monitor, and maintain production LLM-based agentic solutions for Commercial Customer Success. Integrate agents with CRMs and Samsara systems, define evaluation frameworks and success metrics, implement automated tests and monitoring, iterate on models and prompts, and demonstrate impact on customer outcomes and retention.

The Systems Engineer supports DOE projects by developing system requirements, architecture, and documentation while collaborating with teams and assessing AI-assisted designs.

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.

Lead end-to-end technical programs to design, build, govern, and scale Agentic AI initiatives across Professional Services. Drive GTM enablement, AI governance, productivity improvements, stakeholder engagement, change management, and cross-functional execution with a security-first mindset and measurable business outcomes.

Run day-to-day marketing for AppSec, AI/ML Security, and Research & Engineering practices: produce technical content, own social and event presence, run demand-generation campaigns, enable sales, build analytics and attribution, and coordinate cross-practice coverage with engineering and GTM teams.

Integrate and fine-tune existing AI models into product features, build evaluation frameworks and observability for production AI, collaborate with data science and engineering, and develop AI-powered application features using Python to improve user experience.

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.