Top AI Jobs in Los Angeles, CA

Lead the development and implementation of machine learning solutions, managing a team to drive strategic decisions and innovative business outcomes.

Lead product management activities for commercial and internal software products across the lifecycle. Support large enterprise software implementations and program delivery, maintain program controls, report on risks and finances, mentor junior staff, manage stakeholder relationships, and align project objectives with strategic goals while driving continuous improvement.

Lead technical direction and architecture for DAP Repository Flows, design and ship autonomous and scheduled agents that operate on customer repositories, improve DAP onboarding, collaborate across teams on platform interfaces, mentor engineers, and solve high-scale technical problems to raise engineering quality.

This is an open talent‑community posting inviting U.S.-based candidates across multiple disciplines (software, AI/ML, XR, UX/UI, DevOps, cybersecurity, data, instructional design, etc.) to submit a resume and brief introduction. HTX Labs will retain candidate information for future contract-to-hire opportunities. Must be authorized to work in the U.S.; no visa sponsorship available. Remote-first role supporting immersive learning for Department of Defense clients.

Lead design, build, and deploy of large-scale data platforms for LLMs, RAG, and agentic AI systems. Hands-on coding, architecting fault-tolerant pipelines, establishing MLOps/DataOps best practices, mentoring engineers, and operationalizing research into production across Exabyte-scale distributed systems.

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 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.

Lead the Registry design org end-to-end: set UX vision, KPIs, and quality standards; ship cross-platform web and mobile experiences; embed AI-native workflows; prototype and contribute production-quality interfaces; run generative and evaluative research; scale design systems; partner with PMs, engineers, and analytics; and hire, develop, and manage a high-performing team of product designers.

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.

As a Staff AI Engineer, you'll lead AI product development, overseeing technical direction, system deployment, and model evaluation while collaborating across teams.

The role involves designing AI systems for mental healthcare, focusing on building scalable, production-grade systems that enhance patient engagement and clinical operations. Responsibilities include setting technical standards and ensuring safety and reliability while working with advanced AI technologies.

Lead cross-functional programs to transform customer support with AI-powered automation, agent tooling, analytics, and vendor evaluations. Define roadmap, size opportunities, set success metrics/OKRs, manage dependencies, and drive rollout/change management while partnering with Product, Engineering, Analytics, and Operations to deliver measurable CX improvements.

Own and improve the AI Social render pipeline and agent loops that generate on-brand Instagram carousels and reels. Build prompts, structured outputs, tool-calling, and media composition to ship high-quality generative image, video, voice, and music products in collaboration with product, design, and content strategy.

Lead and grow a team of Azure Solution Engineers to drive cloud migration, application modernization, and AI adoption for Education, Nonprofit, and IGO customers. Partner with sales, engineering, product, and partners to deliver secure, governed, and scalable Cloud & AI solutions, scale repeatable plays, and coach technical talent to achieve measurable customer and business outcomes.

Build and operate Coinbase's LLM and agent platform: unified model gateway, AI Hub, secure microVM agent runtime, knowledge base integrations, AI FinOps, observability and evaluation tooling, and production-grade agent deployments with teams across the company.

Manage, coach, and develop a team of 10–12 BDRs to hit activity, pipeline, and quota targets. Build and standardize BDR motions with Marketing and Sales, own hiring/onboarding/ramp, report performance, and partner cross-functionally to translate field insights into campaigns. Drive data-informed coaching and performance management to generate pipeline and revenue.

Lead the content and logic for an autonomous investigation platform: define investigation playbooks, telemetry/schema requirements, disposition and suppression logic, integrate threat intelligence, track quality metrics, and partner with MDR operations to scale ML-driven investigations that replace manual Tier 1-2 triage.

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.

Lead corporate and workplace giving strategy to expand partnerships, grow employee giving campaigns, secure major corporate funding, and manage a development team. Build account plans, run sponsorship strategy, analyze performance, and drive revenue growth and partner retention across Los Angeles County.

Lead and build Deepgram's AI enablement function: prototype and ship reusable agents, MCP servers, paved-road workflows, prompt and retrieval patterns, and an enablement hub. Drive company-wide AI adoption with measurable productivity metrics, embed safe-use guardrails, partner across Platform, Security, Data, and People Ops, and grow a central team and distributed champions network.

Lead end-to-end delivery of ML infrastructure and AI tooling programs, defining architecture and rollout strategies for training, serving, and monitoring. Coordinate research, engineering, product, and data teams to optimize inference cost/latency, build internal tools for experiment tracking and model versioning, and resolve bottlenecks to enable faster, scalable ML deployments.

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.

Design, build, and operate agentic AI systems end-to-end for Professional Services. Translate stakeholder needs into secure, scalable multi-agent architectures, define performance benchmarks, manage deployments and incident response, advise leadership, mentor teammates, and maintain runbooks and production tooling including on-call responsibilities.

Lead and scale GM's enterprise Privacy and AI governance operations: build workflows, training, metrics, reporting, and documentation; operationalize AI impact assessments and governance platform; drive continuous improvement, automation, and cross-functional stakeholder alignment to strengthen privacy and responsible AI program maturity.

The Applied AI Scientist III develops advanced analytics solutions utilizing AI technologies, leading projects in predictive analytics and NLP to enhance healthcare operations and patient care.