Top AI Automation Jobs in Los Angeles, CA

The Director, Enterprise AI will spearhead AI initiatives across the organization, oversee deployment strategies, and drive innovation.

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.

Design and deploy AI-driven workflows to enhance marketing operations, collaborating with various teams to implement automation solutions and integrate with marketing ecosystems.

The AI Deployment Engineer collaborates with clients to translate business needs into AI use cases, designs conversational experiences, and implements AI solutions within Zoom's platforms.

This role involves designing and deploying AI-powered marketing solutions, integrating systems, writing code, and collaborating cross-functionally to enhance workflows.

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.

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 Director of AI & Process Automation will identify automation opportunities, lead initiatives across functions, and ensure solutions are architecturally sound while driving measurable outcomes.

As a Senior Software Engineer, you will design and build AI-driven automation solutions, integrating them into backend workflows while ensuring system reliability and collaborating cross-functionally.

As a Senior Software Engineer, design and develop automation solutions leveraging AI, integrate AI-driven components, and maintain backend systems while collaborating cross-functionally to improve workflows.

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.

The Principal AI Consultant will leverage deep insurance industry expertise to advise on AI applications, enhancing operational efficiency and improving customer experience in insurance services.

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.

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 AI Automation Engineer will architect and build AI-driven GTM systems, write production code in Python, manage vector databases, streamline marketing and sales workflows, and ensure system reliability while collaborating across teams.

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.

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

Design, build, and operate scalable AI inference infrastructure across cloud and on-prem. Own Kubernetes deployments, CI/CD pipelines, IaC, observability, incident response, and infrastructure security. Collaborate with ML framework and compiler teams to streamline end-to-end deployment and reduce operational toil.

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.

Design, build, and maintain AI assistants and automation workflows across HR, Finance, and Operations. Develop agentic AI, RAG, and integrations using APIs, middleware, and automation platforms. Ensure secure, scalable deployments, measure ROI, document solutions, and train teams on AI-assisted workflows.

Leads the design and optimization of AI-enabled business workflows, drives process transformation, and collaborates with teams to enhance efficiency and performance.

As a Staff Software Engineer, you'll lead AI initiatives, design systems, and collaborate with teams to build impactful customer service products using generative AI.