Executive Director, Enterprise Agent Platform

Insight Global
Culver City, CA, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Cloud Engineering Continuous Integration Search Technologies Retrieval-Augmented Generation Multi-Agent Systems Agentic-AI Infrastructure Automation Frameworks Information Technology AgentOps Agent2Agent Protocol

Requirements

10+ years in software/platform engineering, including 5+ years leading engineering teams. Hands-on experience building and operating production AI agents on enterprise agent platforms. Strong experience with agent engineering, including RAG/vector search, MCP/A2A, integrations/connectors, evaluation, and multi-agent orchestration. Experience with AgentOps/governance, including lifecycle management, security/access, observability, and cost management. Proven ability to build reusable engineering patterns and rapidly deliver scalable, production-ready solutions. Strong cloud engineering foundation, including CI/CD, infrastructure as code, APIs, and enterprise integrations. Experience driving measurable business outcomes and adoption of new technologies. Bachelor’s degree in Computer Science, Engineering, related field, or equivalent practical experience. Experience in media, entertainment, or another rights-sensitive industry.

About the company

A client in the entertainment industry is seeking a senior, hands-on technology leader to build and scale its enterprise AI agent ecosystem. This person will own agent platform strategy and architecture while actively designing, building, and reviewing solutions alongside their team. They will partner with business and technology groups to move AI agent use cases from concept to production, establish reusable architectures and engineering standards, and oversee AgentOps capabilities including governance, monitoring, lifecycle management, security, and cost optimization. They will also build and develop the technical team, manage technology partners, drive adoption, and measure solutions based on business impact.

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