AI Tech Lead

Kelly Services; Chicago (IL); Presencial; USD 150.000 - 190.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical, Dental, and Vision Insurance

Vacation Time

Stock Options

Descripción de la vacante

Motion Recruitment Partners seeks an AI Tech Lead to join its team in a full-time capacity in the United States. You will lead the design and delivery of production-grade AI systems, guiding technical strategy while remaining hands-on as a player-coach.

The role focuses on Databricks, LLM development, and scalable AI architectures, with mentorship, client engagement, and cross-team collaboration at the core of daily duties.

Formación

• Expertise with Databricks and data engineering.
• Experience deploying LLM solutions and RAG architectures.
• Strong communication and client-facing skills; cloud platform experience.
• Bachelor's degree in CS/Engineering/Math.

Responsabilidades

• Hands-on development with Databricks, LLMs, and AI tooling.
• Provide technical leadership and mentoring to the team.
• Engage with clients to drive AI initiatives.
• Collaborate across engineering teams on architecture and deployment.

Conocimientos

Databricks

LLM Solutions

RAG architectures

LangChain/LangGraph

Production AI systems design

Communication skills

Cloud platforms

Educación

Bachelor's degree in Computer Science/Engineering/Math

Herramientas

MLflow

Vector databases

LangChain/LangGraph frameworks

Descripción del empleo

$150000 - $190000

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

• 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

Desired Skills & Experience

• MLflow experience
• AI agent development experience
• Vector database experience
• Knowledge of cloud AI services
• Team mentorship experience
• Architecture and solution design experience

What You Will Be Doing

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.

Motion Recruitment Partners (MRP) is an Equal Opportunity Employer. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP's Employment Accommodation policy. Applicants need to make their needs known in advance.