Top AI Jobs in Los Angeles, CA

Design and implement multi-step agentic AI workflows (orchestration, retrieval, tool use, state management) using frameworks like LangGraph/LangChain. Build retrieval pipelines over proprietary CRE data, evaluate and monitor model quality with human-in-the-loop processes, integrate Anthropic models on AWS Bedrock, implement guardrails and observability, and rapidly prototype features with Product and Design to deliver trustworthy, source-linked AI capabilities that perform real business actions.

Design, build, and operate production AI and data systems for marketing: LLM/agent orchestration, retrieval pipelines, data pipelines, CDP and warehouse architecture, automation of manual workflows, data quality and reliability, stakeholder collaboration, and mentoring. Ship production-grade Python and SQL solutions and evaluate/monitor AI systems.

Own the technical vision and architecture for an AI platform of agents, skills, and tools. Scale retrieval/knowledge systems, build developer experience, orchestration, observability, and evaluation/feedback loops. Align cross-division engineering strategy and drive platform adoption.

Develop and test AI-powered applications and internal tools using LLMs and AI APIs. Build prototypes, integrate AI services across web, mobile, and backend systems, participate in code reviews and sprints, and apply best practices in software engineering and generative AI.

Design, develop, and productionize multimodal AI systems (VLMs, LLMs, reasoning models) and end-to-end ML pipelines for geospatial data. Build training/experiment frameworks, synthetic datasets, scalable inference, monitoring, and collaborate with research, engineering, and product teams to deliver Earth intelligence solutions.

Lead scientific and strategic AI efforts for Vaccines Medical: define AI vision and roadmap, govern responsible AI standards, prioritize and deliver validated AI-enabled solutions, partner cross-functionally, oversee deployment and adoption, manage budget and vendors, and ensure regulatory, ethical, and scientific compliance across global medical affairs.

Build end-to-end full-stack AI features on a Ruby on Rails backend and React frontend, including LLM inference infrastructure, RAG, AI agents, and evaluation/observability. Design and run experiments (A/B tests), optimize systems for production performance and reliability, and iterate rapidly with product and design partners.

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.

Build and own analytics and AI-driven reporting for Care Partnerships. Create self-service insights, predict partner health, prioritize outreach, instrument experiments and launch analytics infrastructure to scale referrals and partner relationships.

Lead technical discovery and design of hybrid and multi-cloud architectures, align solutions to business outcomes, support sales throughout the cycle, ensure security/compliance, design networking/connectivity, and coordinate public cloud specialists for deeper scoping.

Design and build scalable, automated evaluation pipelines and infrastructure to validate speech, audio, and multimodal models. Translate research benchmarks into enforceable pass/fail gates, run batch and streaming tests, operate canaries and continuous monitoring, integrate quality gates into CI/CD, and partner with research, training, inference, and infra teams to prevent regressions and ensure production model quality.

As AI Enablement Services Lead, you will design AI solutions for operational tasks, automation of delivery processes, and enhance team capabilities in utilizing AI effectively.

This role involves defining AI architecture, improving system quality, leading teams, and building production-ready AI systems at Drata.

As a Senior AI/Data Engineer, you will design and maintain scalable data and AI infrastructures, partnering with cross-functional teams to deliver reliable data systems and support AI-driven business capabilities.

The Manager, Search & AI Visibility will execute SEO strategies across multiple brands, optimize web performance, partner with engineering, and enhance organic visibility through analytics and reporting.

The Director leads the Social Intelligence Analytics team, advising clients, managing projects, and utilizing AI to derive insights from social media data.

Lead go-to-market for a new AI product: define segments, run discovery and demos, own onboarding and activation, run experiments, partner with product and engineering, and build repeatable GTM processes to drive adoption and retention.

Lead the AI Platform team to build and scale ML and agent runtimes, including data/model enrichments, orchestration, observability, evaluation, and reliability. Set platform strategy, define standards, prioritize cross-functional work, and grow engineers while balancing velocity, security, and operational rigor for mission-critical defense applications.

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.

The role involves deploying and supporting CrowdStrike's AI capabilities in cybersecurity, optimizing threat detection, and mentoring teams on AI solutions.

Build end-to-end internal AI agents and workflow automations: discover high-value opportunities, redesign processes, implement LLM-based agents with integrations, deploy and operate solutions, and ensure security, compliance, monitoring, and adoption across GTM teams.

The Senior Business Systems Analyst will leverage ServiceNow for automation, aligning solutions with business needs, enhancing user experience and driving AI-assisted solutions.

The AI Security Consultant will enhance security programs, secure AI systems, engage in technical analysis, and report findings. They will also contribute to thought leadership while ensuring high-quality service delivery.

Run and scale Talent Acquisition enablement and AI-adoption programs: design training and onboarding for recruiters and hiring managers, define success metrics, build dashboards, document processes, and partner cross-functionally to measure and iterate program impact.

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.