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Motion Recruitment

AI Tech Lead / REMOTE / Work-Life Balance

Career Insights for Artificial Intelligence Engineer (General)

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What they do

An Artificial Intelligence Engineer develops, tests, and deploys artificial intelligence models. May work closely with data software engineers and data professionals to train and implement AI models into existing systems or develop new applications.

$118,850 / year median in the U.S.

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Job Description

AI Tech Lead / REMOTE / Work-Life Balance Motion Recruitment - 3.7 Detroit, MI Job Details Contract 22 hours ago Benefits Health insurance Dental insurance Vision insurance Qualifications AI models Databricks SQL databases Generative models AI platforms (beyond public GPTs) SQL Production systems Machine learning cloud services Machine intelligence Model deployment Developing large-scale AI models Mentoring Cloud solution engineering Machine learning frameworks Project stakeholder communication Python MLOps Stakeholder relationship building Generative AI Stakeholder management Full 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. #LI-CD1