Associate Director, AI Engineer

Key Responsibilities

• Design and build multi-agent systems using LLM orchestration frameworks for client-facing AI products.
• Implement end-to-end AI orchestration use cases for clients, ensuring reliability, maintainability, and high-quality delivery.
• Build agentic wrappers and interfaces around data science models (e.g., MMM, forecasting, incrementality) to support conversational access.
• Configure Genie spaces to enable client data exploration and self-service analytics.
• Develop reusable agent components, prompt templates, and tool-use libraries to accelerate future deployments.
• Evaluate LLM providers based on capability, cost, and latency, and recommend optimal options for each use case.
• Collaborate with the Offshore Director Staff AI Engineer on architecture direction, design patterns, and coding standards.
• Write production-grade Python with appropriate error handling, observability, CI/CD integration, and deployment automation.
• Partner closely with Data Scientists to understand models and create resilient, accurate agent interfaces.
• Contribute to technical documentation, architecture decision records, and operational runbooks.

Required Qualifications

• 5+ years of software engineering experience with strong Python skills.
• 2+ years of hands-on experience working with LLMs (e.g., prompt engineering, RAG, function calling, agent frameworks).
• Experience with at least one agent orchestration framework (LangChain, LangGraph, AutoGen, CrewAI, or similar).
• Strong system design skills, including API architecture and distributed systems.
• Experience with cloud platforms (Azure preferred) and container orchestration.
• Familiarity with vector databases, embeddings, and large-scale RAG systems.
• Strong debugging, performance optimization, and problem-solving skills.
• Effective collaboration skills for partnering with distributed teams across regions and time zones.

Preferred Qualifications

• Experience with Databricks and/or Genie.
• Background in media, advertising, or marketing technology.
• Experience with MLOps, model-serving infrastructure, and production model lifecycle.
• Experience building conversational AI or copilot-style products.
• Open-source contributions related to agentic AI.

Pay

The annual salary range for this position is $94,000 - $152,662. Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law.

Benefits

• Medical, vision, and dental insurance
• Life insurance
• Short-term and long-term disability insurance
• 401(k)
• Flexible paid time off
• At least 15 paid holidays per year
• Paid sick and safe leave
• Paid parental leave

Location

New York - 150 E 42nd