Top AI Automation Jobs in Los Angeles, CA

As a Principal AI Transformation Consultant, you will partner with AE firms to identify workflows for AI enhancements, lead discovery sessions, design transformation plans, and drive successful adoption of Champ for ERP, focusing on measurable outcomes and behavioral change.

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

The Senior Technical Product Manager leads the development of AI-enabled digital products, collaborating with stakeholders and managing the product lifecycle to drive business results.

Lead client engagements in insurance data, analytics, and AI: define roadmaps, run discovery sessions, design solutions, manage delivery and teams, develop proposals, and ensure DataOps, cloud (AWS), governance, and best practices across AI and analytics initiatives.

Lead AI-driven automation for risk and compliance by defining strategy, roadmaps, and metrics. Partner with ML engineers, data scientists, design, legal, and operations to build, evaluate, and deploy safe, reliable automations; run experiments, define success/failure behaviors, and drive cross-functional execution to improve decision quality and operational efficiency.

Lead strategy and execution for AI-powered risk automation products. Identify automation opportunities, define product requirements, partner with ML/data/engineering/design, run experiments, set metrics for accuracy, safety, and reliability, and drive cross-functional launches to improve decision quality and operational efficiency.

The Principal Consultant leads AI and digital transformation engagements, guides clients in identifying AI opportunities, builds strategies and roadmaps, implements solutions, and develops teams to achieve measurable business outcomes.

The Partner Value Solution Engineer empowers partners by providing technical guidance, developing enablement programs, and managing relationships to enhance the selling and delivering of NiCE solutions, particularly within AI and customer experience technologies.

The role leads AI adoption across business functions, prioritizing use cases, building business cases, and driving organizational change necessary for successful implementation. It requires collaboration with IT leadership and the presentation of ROI to business stakeholders.

Lead onboarding and implementation of AI solutions in banks. Manage customer transformation journeys, ensure project alignment, and facilitate engagement with stakeholders to achieve maximum ROI.

As an AI Automation Engineer, you will partner with business groups to assess challenges and deliver AI-driven automation solutions while ensuring code quality and collaborating with cross-functional teams.

Lead intake, prioritization, and stakeholder engagement for enterprise AI opportunities; translate business problems into evaluable AI use cases, align to strategy and governance, define KPIs/ROI, and coordinate with execution teams and vendors to ensure responsible, feasible AI adoption.

The SME will develop a curriculum on AI for finance, creating engaging content and videos to train finance professionals in AI applications. They must leverage their extensive finance experience and AI understanding to enhance learner success.

Lead automation and integration for credit risk model lifecycle as the team migrates from SAS to Azure Databricks and Python. Design scalable, repeatable model development, implementation, production, monitoring, reporting, and deployment pipelines; build reusable code libraries, containerized environments, orchestration, and data pipelines; partner with technology and stakeholders; select and onboard tools; and provide training and governance for model operations supporting CCAR, CECL, and commercial risk models.

Design and ship AI agents, automations, and internal tools to scale Customer Success. Scope and prioritize work, define success metrics, integrate LLMs/agent frameworks, partner with DevOps and Security, and drive adoption through training and documentation.

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.

Lead and grow an engineering team to design and deliver AI-driven, spec-based automation for media workflows (MAM, ingest, transcoding, streaming, broadcast). Own AI roadmap, integrate LLMs/agents into production, improve CI/CD and developer tooling, enforce security best practices, and partner with product and operations to scale autonomous media automation systems.

K1 is seeking an AI Automation Intern to design, build, and deploy AI automation tools for private equity operations, requiring skills in AI, MS Office, and programming.

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.

The AI Automation Intern will design and deploy AI-powered automations, prototype AI tools, evaluate models, and build dashboards within a private equity context.

Lead and build AI-powered automation across Customer Operations (CX, Claims, Underwriting). Own the automation roadmap, partner with Product and Engineering, design prompt and agent architectures, drive pilots to scaled production, build executive business cases, manage vendor tooling feedback, and grow a team of builders focused on GenAI integration and workflow automation.

Design and build automation frameworks and evaluation pipelines for agentic AI products. Develop non-deterministic tests, golden datasets, tool-use validation, prompt regression tests, latency/token monitoring, hallucination detection, and collaborate with AI engineers to convert requirements into measurable automated test cases.

Lead QA Automation for agentic AI products by designing eval pipelines, golden datasets, and automated tests for tool-use, hallucination detection, latency/token monitoring, and regression across models and prompts. Integrate performance testing into CI/CD and collaborate with AI engineers to convert requirements into measurable automated evaluations.

You will build AI-native creative workflows, generate production-grade assets, and establish automation systems for creative processes across multiple brands.

The AI Automation Intern will design and deploy AI automations, build tools, evaluate AI models, and create dashboards while working directly with the founding partner.