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 commercialization for AI-focused software within Internal Firm Services. Drive innovation, market and competitive analysis, TAM assessment, go-to-market planning, and portfolio management. Set strategic direction, maintain executive client relationships, mentor teams, and validate revenue potential to support investment and commercialization decisions.

Lead Oncology AI product strategy and a cross-functional AI engineering team to translate scientific needs into scalable AI solutions across discovery, clinical development, and real-world evidence. Define roadmaps, governance, success metrics, stakeholder engagement, and adoption to move AI initiatives from pilots to sustained impact.

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.

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.

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

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.

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

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.

Develop physics-informed AI surrogates and surrogate modeling workflows for CFD, FEA, thermal and multi-physics simulations. Create scripted simulation models to generate training data, research new physics-AI methods (PINNs, neural operators, digital twins), integrate surrogates into engineering design, support government and internal R&D projects, and collaborate with cross-functional teams to transition models into engineering workflows.

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.

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.

Provide manufacturing engineering support for turbomachinery component production: develop manufacturing plans, design tooling/fixtures, implement inspection (3D scan/CMM), lead quality investigations using SPC/GR&R/Cpk, support new product manufacturability, implement MES, and identify automation/AI improvements.

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.

The Director of Business Development will develop and execute sales strategies for securing government and defense projects, while managing relationships and capturing opportunities across key sectors.

As a Principal Software Engineer, you will lead architectural development and implementation of complex software systems while collaborating with engineering teams across disciplines.

Provide expert legal and business research to attorneys and staff using advanced research tools; advise on research strategy; manage research workflow; develop training, onboarding, newsletters, and intranet content; evaluate and recommend online resources; support continuous learning and Research Services initiatives.

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.

Lead client engagements to assess business challenges, define enterprise data and AI strategies, develop roadmaps, guide solution design and delivery, provide technical leadership and mentoring, and support practice growth via presales and thought leadership.

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.

Lead development and implementation of AI legal and compliance frameworks. Conduct cross-functional AI reviews, maintain governance docs (model cards, impact assessments), partner with engineering on transparency and fairness requirements, build incident response and monitoring processes, and scale AI legal review workflows.

Lead AI security strategy and guardrails, design and review AI gateways and tooling, scale InfoSec review processes, reduce AI-driven security noise, drive remediation and investigations, and mentor security and platform engineers.