Complex1mo ago

USD 130000–200000/yr

Director, Agentic AI Infrastructure & Orchestration Engineer

United StatesFull-timeexecutive

Data ScienceOtherDevOps & InfrastructureDirector Agentic Ai Infrastructure & Orchestration Engineer

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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 & InfrastructureDirector Agentic Ai Infrastructure & Orchestration Engineer

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 21, 2026

Posting Health

Days active: 26
Repost count: 0
Trust Level: 42%
Scored at: April 21, 2026

Signal breakdown

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Complex

lever

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

View 25 jobs

View company profile

Salary

USD 130000–200000

per year

Apply now

External application · ~5 min on Complex's site

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Director, Agentic AI Infrastructure & Orchestration EngineerUSD 130000–200000