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AI Engineering Manager / REMOTE / Work Life Balance

Motion Recruitment Partners, LLCUnited States🇺🇸United StatesPosted 11 Sept 2026

Why This Role Stands Out

Lead impactful enterprise AI initiatives and shape client strategies with cutting-edge technologies like Generative AI and LLMs in this remote, growth-focused role. You'll thrive here if you're a technical leader eager to mentor a team, drive innovation from concept to production, and enjoy excellent work-life flexibility. This is a fantastic opportunity to expand your leadership and technical influence while working with a reputable digital consulting organization.

Quick Overview

Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
Yesterday
SQLAWSMLOpsMLflowMachine LearningAzureDatabricksGenerative AIGoogle CloudLLMPythonR

Job Description

A rapidly growing digital consulting organization is seeking a Manager of Artificial Intelligence to lead enterprise AI initiatives and help clients turn data into business value. This full-time opportunity offers the chance to work with cutting-edge technologies including Generative AI, Large Language Models (LLMs), Databricks, Python, MLOps, and cloud-based machine learning platforms while partnering with some of the most sophisticated B2B organizations in the market.

This is an ideal opportunity for a technical leader who wants more than internal development work. The individual will help define AI strategy, lead client-facing engagements, mentor a team of AI professionals, and drive innovative solutions from concept through production deployment. The organization values continuous learning, work-life flexibility, and exposure to emerging AI technologies, making this an excellent opportunity for someone looking to expand both leadership and technical influence.

Required Skills & Experience
  • 6+ years of AI, Machine Learning, Data Science, or AI Engineering experience
  • Prior leadership experience managing technical teams
  • Strong experience with Python and SQL
  • Hands-on experience with Generative AI and LLMs
  • Experience deploying machine learning solutions into production
  • Databricks experience including MLflow and model deployment
  • Strong communication and client-facing skills
  • Experience designing scalable AI architectures
Desired Skills & Experience
  • R programming experience
  • Azure ML, AWS SageMaker, or Google Cloud Platform Vertex AI
  • LangChain, AutoGen, CrewAI, or similar frameworks
  • Retrieval-Augmented Generation (RAG)
  • Prompt Engineering
  • Digital consulting or agency experience
  • Enterprise-scale MLOps experience
What You Will Be Doing
Tech Breakdown
  • 35% Generative AI / LLM Development
  • 25% Databricks & Data Engineering
  • 20% MLOps & Production Deployment
  • 20% Cloud AI Platforms & Architecture

Daily Responsibilities
  • 50% Hands-On Technical Leadership
  • 25% Team Management & Mentorship
  • 25% Client Interaction & Strategic Consulting

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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