AI Tech Lead / REMOTE / Work-Life Balance

Motion Recruitment; Detroit (MI); Remote; USD 96,000 - 165,000; Full time

Benefits offered by this job

Medical, Dental, and Vision Insurance

Career Development Opportunities

Job summary

Motion Recruitment Partners LLC seeks an experienced AI Tech Lead for a fully remote role to build enterprise-scale AI solutions using Databricks, Generative AI, LLM frameworks, cloud technologies, Python, SQL, and modern MLOps practices.

The role emphasizes senior engineering mentorship, shaping AI architecture, and continuing hands-on development while guiding technical direction on high-impact initiatives.

Qualifications

• 5+ years of professional AI/ML/Data Science engineering experience.
• Experience designing and deploying production AI systems.
• Advanced knowledge of Databricks ecosystem.
• Hands-on experience with LLMs, RAG architectures, and Generative AI applications.
• Strong Python development experience.
• SQL expertise.
• Experience implementing MLOps best practices.
• Knowledge of cloud platforms such as AWS, Azure, or GCP.
• Strong communication and stakeholder management skills.
• Experience mentoring engineers and influencing technical direction.

Responsibilities

• AI/LLM Architecture design and governance.
• Databricks & MLOps implementation and optimization.
• Python development and code reviews.
• Cloud & data platform engineering tasks.
• Mentoring engineers and guiding technical direction.
• Stakeholder engagement and collaboration.

Skills

AI/ML experience

Production AI systems

Python development

SQL

MLOps

Cloud platforms

Communication

Mentoring engineers

Leadership direction

Education

Master's degree in a technical discipline

Tools

Databricks

LLMs

MLflow

Unity Catalog

Tableau/Power BI/Domo

Job description

An established technology-driven consulting and analytics organization is expanding its Artificial Intelligence practice and seeking an experienced AI Tech Lead to join its growing team. This fully remote opportunity offers the chance to build enterprise-scale AI solutions leveraging Databricks, Generative AI, LLM frameworks, cloud technologies, Python, SQL, and modern MLOps methodologies. The position is full-time and provides significant visibility into high-impact business initiatives.

This opportunity is particularly attractive for senior AI engineers seeking greater influence without completely moving away from hands-on development. The ideal candidate enjoys solving complex technical challenges, mentoring engineers, and shaping AI architecture while continuing to contribute code. The organization values innovation, technical excellence, and professional growth, providing a strong platform for future leadership opportunities.

Required Skills & Experience

• 5+ years of professional AI, Machine Learning, or Data Science engineering experience
• Experience designing and deploying production AI systems
• Advanced knowledge of Databricks ecosystem
• Hands-on experience with LLMs, RAG architectures, and Generative AI applications
• Strong Python development experience
• SQL expertise
• Experience implementing MLOps best practices
• Knowledge of cloud platforms such as AWS, Azure, or GCP
• Strong communication and stakeholder management skills
• Experience mentoring engineers and influencing technical direction

Desired Skills & Experience

• Experience with AWS Bedrock
• MLflow expertise
• Knowledge of Unity Catalog
• Experience with BI platforms such as Tableau, Power BI, or Domo
• Previous experience serving as a technical lead or principal engineer
• Master's degree in a technical discipline

What You Will Be Doing

Tech Breakdown

• 40% AI/LLM Architecture
• 25% Databricks & MLOps
• 20% Python Development
• 15% Cloud & Data Platform Engineering

Daily Responsibilities

• 70% Hands On Development
• 15% Technical Leadership & Mentorship
• 15% Team Collaboration & Stakeholder Engagement

The Offer

• Competitive hourly rate

You will receive the following benefits:

• Medical, Dental, and Vision Insurance
• Career Development Opportunities

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

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