Top AI Specialist Jobs in Los Angeles, CA

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.

Review AI-generated compensation analyses and recommendations for accuracy, completeness, and business relevance. Identify errors and gaps, provide actionable written feedback, follow scoring frameworks, document findings, and collaborate to refine evaluation methods.

The AI Implementation Specialist will lead AI integration initiatives, design automated workflows, develop AI agents, and train staff across various departments of the firm.

Design, build, test, and deploy AI agents, agentic workflows, and automation solutions. Partner with stakeholders to prototype and productionize full-stack AI applications across cloud, VPS, and local GPU environments while ensuring scalability, security, and performance.

Coordinate data ingestion and vendor workflows to support AI research: manage dataset onboarding, track vendor deliverables and SLAs, route datasets for technical review, document data provenance and licensing, and maintain dashboards and pipeline tracking to ensure compliance and research readiness.

The role involves developing and maintaining automation workflows, integrating enterprise platforms, designing dashboards, and driving AI adoption, with a focus on measurable impact and operational efficiency.

Lead evaluation, piloting, and rollout of AI-enabled tools and automated workflows for legal teams. Collaborate with attorneys, practice leaders, and tech partners to design solutions, drive adoption, deliver training, and measure impact to improve legal service delivery and internal operations.

Design, build, and deploy machine learning models integrated into web applications to enhance UX through personalization, chatbots, recommendations, and automated design; collaborate with designers and engineers, optimize models for web performance, analyze user data, and support CI/CD and monitoring of production AI systems.

Teach an intensive course on cinematic AI, generative design, and emerging creative technologies to students in creative industries, focusing on practical applications and ethical considerations.

As an AI Operations Specialist, you will evaluate AI model outputs, annotate data, and ensure the quality and effectiveness of Fetch's AI systems, using tools like ChatGPT and Google Sheets.

Lead design and implementation of AI and data governance frameworks, privacy guardrails, metadata standards, and compliance with GDPR/HIPAA/CCPA/NIST AI RMF. Monitor and audit models for bias, explainability, and transparency; partner with engineers, stewards, and leaders to embed ethical decision-making, set KPIs, run audits, and produce dashboards and reports to drive governance adoption.

Research, deploy, and maintain AI models and automation solutions; integrate systems and APIs; manage AWS infrastructure and PostgreSQL databases; build BI dashboards; monitor and optimize AI systems and provide technical support.

Contribute to generative AI model training and evaluation by designing and solving ML infrastructure and systems challenges. Build and optimize distributed training, custom GPU kernels, evaluation frameworks, and provide technical reviews and feedback to improve training data and model capabilities.

Evaluate and improve AI-generated Tagalog text for linguistic accuracy, grammar, and cultural relevance. Provide rewritten responses, craft prompts/responses, perform grammaticality checks and preference ranking, and collaborate with global teams to enhance conversational AI datasets.

Lead sales and deployment of custom AI/ML solutions, driving pipeline and revenue for allocated accounts. Collaborate with Field Sales, Product, Sales Engineering and AI teams to discover requirements, architect agentic AI solutions, write SOWs, negotiate commercial terms, and manage complex sales cycles to ensure customer adoption and measurable business outcomes.

The role involves designing and delivering AI training programs, creating learning materials, and facilitating workshops to enhance user understanding of AI tools within enterprises.

Design and implement AI-powered sales automation, GTM systems, and revenue intelligence. Build integrations, workflows, enrichment, segmentation, dashboards, and autonomous pipelines to prioritize accounts, improve forecasting, and automate RevOps processes while enabling Sales adoption and cross-functional alignment.

Create, optimize, schedule, and publish blog and social content about AI applications. Test headlines, landing pages, and ads; review analytics, predict opens/clicks/conversions, write performance reports, and personalize curated content.

The AI Implementation Specialist will onboard and train customers on AI design software, providing support and creating educational resources, while focusing on user feedback and software adoption.

Design, build, and operate a secure, scalable Generative AI platform on AWS (including Bedrock) to support production LLM applications in regulated financial environments. Own platform lifecycle: architecture, deployment, operations, monitoring, incident management, reliability, and performance. Implement LLM inference, RAG, Agents, guardrails, observability, security controls, access management, compliance, and cost optimization. Provide production support, reliability engineering, and AI governance.

The role involves designing and maintaining automated workflows, developing AI agents, integrating APIs, and optimizing automation systems while collaborating remotely with teams.

The AI Adoption Specialist guides organizations in integrating AI technologies, developing strategies, conducting pilots, and overseeing deployment while monitoring performance.

Review customer source documents and validate Prox AI agent outputs. Test demo agents, verify citations and visual artifacts, flag missing or incorrect specs, write actionable feedback, prepare demo and trial workspaces, and keep tasks updated in Attio/Slack.

The Automation / AI Specialist will design and maintain automated workflows, develop AI agents, integrate APIs, and troubleshoot technical issues in a remote environment.

Design and maintain automated workflows using n8n, develop AI agents and tools, integrate APIs, optimize systems, and troubleshoot issues.