
Director, Agentic AI Infrastructure & Orchestration Engineer
Complex, New York, NY, United States
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.
Work Schedule Possible freelance to hire, 4-6 month project Monday - Friday
What You’ll Do
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
Who You Are
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 whiteboarding systems with executive leadership
Creating shipping production-ready pipelines
Reviewing agent-generated code
Ability to train teams to extend what you’ve built
Success Metrics (By the end of the 12 week engagement, you will have delivered)
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
$150,000 - $200,000 a year
The Pay Range, which consists of salary and commission, for this position is listed. Actual pay will vary based on factors including, but not limited to location, experience, and performance. The range listed is just one component of Complex Total Rewards offerings for employees.
We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Complex participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
Candidates must be legally authorized to work in the U.S. without the need for visa sponsorship.
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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.
Work Schedule Possible freelance to hire, 4-6 month project Monday - Friday
What You’ll Do
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
Who You Are
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 whiteboarding systems with executive leadership
Creating shipping production-ready pipelines
Reviewing agent-generated code
Ability to train teams to extend what you’ve built
Success Metrics (By the end of the 12 week engagement, you will have delivered)
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
$150,000 - $200,000 a year
The Pay Range, which consists of salary and commission, for this position is listed. Actual pay will vary based on factors including, but not limited to location, experience, and performance. The range listed is just one component of Complex Total Rewards offerings for employees.
We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Complex participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
Candidates must be legally authorized to work in the U.S. without the need for visa sponsorship.
#J-18808-Ljbffr