Quick Overview
Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
Yesterday
SQLAWSMLOpsMLflowMachine LearningTableauAzureDatabricksGenerative AIGoogle CloudLLMPower BIPythonStakeholder ManagementUnity
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
Tech Breakdown
Daily Responsibilities
The Offer
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
#LI-CD1
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 Google Cloud Platform
- Strong communication and stakeholder management skills
- Experience mentoring engineers and influencing technical direction
- 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
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
- 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
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