Director, Agentic AI Infrastructure & Orchestration Engineer

Complex•New York, NY

1d•$150,000 - $200,000

About The Position

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

Requirements

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
Ability to train teams to extend what you’ve built

Nice To Haves

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

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