Complex
Complex1mo ago
USD 130000–200000/yr

Director, Agentic AI Infrastructure & Orchestration Engineer

United StatesUnited StatesFull-timeexecutive
Data ScienceOtherDevOps & InfrastructureInfrastructure
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Quick Summary

Key Responsibilities

Architect and deploy the agentic infrastructure layer in collaboration with executive leadership and the Platform Studio engineering team Design a modern,

Technical Tools
Data ScienceOtherDevOps & InfrastructureInfrastructure
Company And Culture
 
Complex is the definitive platform for global youth culture and music lifestyle, seamlessly integrating cutting-edge content, commerce and live experiences with unparalleled scale. Through innovative content, Complex tells stories of music, streetwear and style, sports, art and beyond. Its content engages in a dynamic conversation with the audience, reflecting and shaping the zeitgeist of convergence culture. A powerful media juggernaut paired with a curated marketplace, Complex is redefining the way fans interact with their favorite brands and artists and reshaping the future of digital culture and commerce.
 
Why We're Hiring
 
Complex operates at the intersection of content, commerce, and culture—powering media, live experiences, marketplace, and audience engagement across sneakers, music, sports, and streetwear. This ecosystem generates a high volume of workflows, audience intelligence, and creative output. Much of that operational value, however, remains fragmented across SaaS platforms, manual processes, and institutional knowledge. We are building the next layer of infrastructure to change that.
 
The AI Orchestra Director: Agentic Infrastructure Engineer will embed directly within our technology organization, ensuring that every architectural decision drives measurable business outcomes. The role bridges system design, implementation, and operational impact. Complex is seeking an AI Orchestra Director—a hands-on technical architect and builder responsible for designing, deploying, and operationalizing our agentic AI infrastructure. This is not an advisory position. It is an execution-driven engineering mandate to build a parallel infrastructure layer that enables AI agents to:
- Automate core workflows
- Replace high-cost SaaS platforms with owned solutions
- Modernize data access and experimentation
- Generate proprietary, reusable intellectual property
- All while the business continues to operate without disruption
TOP THREE STRATEGIC PRIORITIES:
  • 1. Architect and Deploy the Agentic Infrastructure Layer
  • Design and implement a scalable runtime environment purpose-built for a media and commerce organization, including:
  • Agent orchestration and task routing
  • Quality gates and human-in-the-loop checkpoints
  • Logging, observability, and convergence tracking
  • CI/CD and deployment pipelines
  • On-premise or hybrid environment architecture
  • This foundation must be secure, extensible, and maintainable by the existing engineering team
  • 2. Lead the Tool Replacement Program
  • Audit current SaaS licenses and identify high-cost, high-leverage replacement opportunities (e.g., CRM, analytics, workflow tools)
  • Using agentic development practices:
  • Build internal tools with AI agents writing and testing code
  • Maintain human review at critical checkpoints
  • Deliver measurable license cost reductions
  • Demonstrate infrastructure ROI within the engagement period
  • The objective: prove the system’s value by using agents to build the tools themselves
  • 3. Codify Operational Workflows into a Reusable Skills Library
  • Partner across departments to:
  • Identify and document high-impact operational workflows
  • Encode them into version-controlled, reusable agent “skills”
  • Transform tribal knowledge into durable company-owned IP
  • The result: a scalable library of automated capabilities that can operate independently of the engagement
    •  
  • Key Responsibilities:
  • Architect and deploy the agentic infrastructure layer in collaboration with executive leadership and the Platform Studio engineering team
  • Design a modern, growth-oriented data access layer built on existing Snowflake infrastructure and related data sources
  • Enable agent-native querying, rapid experimentation, and insight generation
  • Evaluate and integrate open-source orchestration tools to maintain vendor-agnostic flexibility
  • Implement test-driven development enforcement, intelligent retry logic, and convergence tracking
  • Establish governance frameworks with human-in-the-loop checkpoints for production deployment and auditability
  • Embed seamlessly with existing engineering teams—building trust, not parallel power structures
  • Develop documentation, training protocols, and knowledge-transfer systems to ensure long-term sustainability
  • Partner with the COO and department leaders to prioritize automation initiatives that simultaneously reduce cost and increase velocity
  • Foster a culture shift toward agentic development as a core capability within the organization
  • Proven experience building and deploying AI agent infrastructure in production environments
  • Deep proficiency across LLM orchestration frameworks, retrieval-augmented generation (RAG), prompt engineering, and agentic coding workflows
  • Strong systems architecture background with infrastructure designed for long-term maintainability
  • Experience with data engineering and analytics infrastructure (Snowflake and API-based systems preferred)
  • Comfort evaluating and integrating open-source tooling within a multi-model ecosystem (e.g., Claude, Codex, Gemini, open-source models)
  • Git-native workflow mindset (branches, PRs, CI/CD, TDD)
  • Exceptional ability to translate complex architecture into business-aligned outcomes
  • Experience embedding within existing teams and leaving them stronger than you found them
  • Media, entertainment, or commerce industry experience preferred but not required
  • Comfortable with whiteboard systems with executive leadership
  • Creating shipping production-ready pipelines
  • Reviewing agent-generated code
  • Ability to train teams to extend what you’ve built
  • Degree in Computer Science or related field
    •  
  • Success Metrics:
  • A working agent runtime environment with orchestration, logging, quality gates, and CI/CD pipelines
  • At least two deployed internal SaaS replacements with documented cost savings
  • A versioned skills library containing a minimum of ten codified operational workflows
  • A defined and partially implemented data access layer serving both human users and AI agents
  • Complete knowledge transfer to the existing engineering team
  • Seamless organizational integration with no structural friction
    •  
  • What Success Looks Like:
  • Success is not measured solely by architectural elegance – It is measured by operational independence
  • Workflows that execute autonomously
  • Tools built internally rather than rented
  • Data systems that surface insights proactively
  • An engineering organization fluent in agentic development
  • Best in class health, dental, and vision insurance
  • Healthcare FSA 
  • Dependent Care FSA 
  • Commuter Benefits FSA 
  • Short-term/long-term disability and life insurance
  • Paid Parental leave
  • 401k with 4% match
  • Pet Insurance
  • Legal and Identity Theft Plans
  • Flexible PTO

    • Listing Details

    Posted
    March 4, 2026
    First seen
    March 26, 2026
    Last seen
    April 24, 2026

    Posting Health

    Days active
    29
    Repost count
    0
    Trust Level
    42%
    Scored at
    April 24, 2026

    Signal breakdown

    freshnesssource trustcontent trustemployer trust
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    Complex
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    Complex is a leading media platform focused on culture, music, style, and sports, known for its engaging content.

    Employees
    350
    Founded
    2002
    Domain
    complex.com
    Jobs
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    ComplexDirector, Agentic AI Infrastructure & Orchestration EngineerUSD 130000–200000
    Apply Now