Why This Role Stands Out
This hybrid AI Tech Lead role offers a fantastic opportunity to shape cutting-edge AI strategy and mentor a talented team while staying hands-on with advanced technologies like LLMs and Databricks. You'll thrive here if you're an experienced AI professional eager to grow your leadership skills and build impactful production-grade AI systems for major clients.
Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Chicago, IL, United States
Posted
3 weeks ago
MLOpsMLflowMachine LearningDatabricksGenerative AILLM
Job Description
A growing technology and analytics organization is seeking an AI Tech Lead to join its team in a full time capacity. This opportunity is ideal for an experienced AI professional who enjoys building production grade AI systems and guiding technical strategy. The environment leverages technologies including Databricks, Large Language Models, LangChain, LangGraph, Retrieval Augmented Generation, cloud platforms, and modern MLOps tooling to deliver enterprise scale AI solutions for major clients.
This role offers a rare opportunity to function as the technical leader for advanced AI initiatives while remaining deeply involved in engineering. Rather than moving away from development, the selected candidate will serve as a player coach, helping shape architecture decisions, mentoring engineers, leading high impact projects, and influencing long term AI strategy. It's an excellent fit for someone looking to expand leadership responsibilities while continuing to solve complex technical challenges.
Required Skills & Experience
Tech Breakdown
Daily Responsibilities
The Offer
You will receive the following benefits:
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
This role offers a rare opportunity to function as the technical leader for advanced AI initiatives while remaining deeply involved in engineering. Rather than moving away from development, the selected candidate will serve as a player coach, helping shape architecture decisions, mentoring engineers, leading high impact projects, and influencing long term AI strategy. It's an excellent fit for someone looking to expand leadership responsibilities while continuing to solve complex technical challenges.
Required Skills & Experience
- Expertise with Databricks
- Experience building and deploying LLM Solutions
- Strong knowledge of RAG architectures
- Experience with LangChain and/or LangGraph
- Experience designing production AI and machine learning systems
- Excellent communication skills and client facing experience
- Experience working with cloud platforms
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
- MLflow experience
- AI agent development experience
- Vector database experience
- Knowledge of cloud AI services
- Team mentorship experience
- Architecture and solution design experience
Tech Breakdown
- 35% Databricks and Data Engineering
- 30% Generative AI & LLM Development
- 20% Solution Architecture
- 15% MLOps & Cloud Technologies
Daily Responsibilities
- 60% Hands On Development
- 15% Technical Leadership & Mentoring
- 15% Client Engagement
- 10% Team Collaboration
The Offer
You will receive the following benefits:
- Medical, Dental, and Vision Insurance
- Vacation Time
- Stock Options
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
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