Top AI Jobs in Los Angeles, CA

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 product strategy and execution for mission-focused software by engaging customers, guiding cross-functional teams, managing risk, improving discovery, mentoring product managers, and supporting business development for national security applications.

Design, build, and deploy scalable AI and GenAI solutions: data wrangling, model development (NLP, neural networks, reinforcement learning), data pipelines, cloud-based infrastructure, client collaboration, and mentoring junior team members to deliver production-ready ML systems.

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.

Contractor will design, build, and deploy internal AI-enabled web applications and tools across frontend and backend stacks. Responsibilities include UI development, APIs, databases, LLM integrations, workflow automation, code review, security best practices, and collaborating with stakeholders to translate business needs into scalable, maintainable solutions.

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.

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.

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.

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.

As a Senior Software Engineer at Whatnot, you'll build AI tooling for internal use, developing workflows and infrastructure to enhance software delivery. You'll collaborate across teams to gather feedback and prioritize features in a rapidly evolving landscape.

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.

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 AI Observability product from vision through GA and post-GA growth. Own roadmap, business outcomes (adoption, retention, expansion), pricing, and exec reporting. Drive cross-functional engineering and design teams, partner with enterprise customers on production AI/LLM issues, build agentic AI prototypes, and iterate on features and packaging based on GA customer feedback.

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

Lead craftsmanship engineering for next-generation EVs: represent the customer, set targets, manage concerns from design through launch, define appearance for shutfaces/grey zones, and develop haptic/acoustic and future technology processes working with suppliers and internal partners.

Lead AI and GenAI data science engagements: perform advanced analytics, build predictive models, design data pipelines and warehouses, validate large datasets, produce data visualizations, coach teams, and advise clients on data-driven solutions and systems-level opportunities.

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.

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 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.

Lead technical vision for AI and platform infrastructure across the company. Solve ambiguous, high-stakes problems end-to-end, set architecture and paved-road standards, guide AI provider selection, ensure compliance for government environments, mentor engineers, and drive adoption of best practices in DevOps, CI/CD, developer experience, and compute infrastructure.

Lead and scale the Enterprise AI & Digital Natives sales segment in the NYC region. Own revenue targets, recruit and mentor a field sales team, advise CTOs and engineering leaders on Cloudflare solutions (Workers AI, R2, network security), drive new logo acquisition and account expansion, partner with Product/Customer Success/Solutions Engineering for go-to-market execution, and personally help close complex, high-value enterprise deals.