Overview
On Site
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 Month(s)
Skills
AI/ML
Azure AI services
Foundry
Databricks
and Microsoft Copilot integration.
Lead AI Engineer
Job Details
Lead AI Engineer
12 Months contract Extension
Detroit, MI
Job Description:
- We are seeking a Lead AI Engineer to drive both the strategic adoption and technical delivery of enterprise-scale AI initiatives.
- This role blends hands-on engineering leadership with enterprise transformation responsibilities, leveraging Microsoft Copilot, Azure Foundry, and AI Center of Excellence (CoE) expertise to deliver measurable business impact.
Responsibilities:
AI Strategy & Enterprise Transformation
- Define and lead the enterprise AI strategy in partnership with business and IT leaders.
- Establish and scale the AI Center of Excellence (CoE), creating governance frameworks, accelerators, and reusable assets.
- Guide organizational adoption of Microsoft Copilot experiences within Microsoft 365 and Dynamics ecosystems.
- Champion responsible AI practices, ensuring compliance with security, ethics, and regulatory standards.
Technical Delivery & Engineering Leadership:
- Architect, develop, and deploy scalable AI/ML solutions using Azure Foundry, Azure Machine Learning, Cognitive Services, and Databricks.
- Extend and customize Copilot by integrating enterprise data, workflows, and business logic.
- Implement MLOps pipelines for continuous integration, deployment, and monitoring of AI models.
- Lead and mentor cross-functional teams of AI engineers, data scientists, and solution architects.
- Collaborate with data engineering and security teams to ensure robust, production-ready AI solutions.
Experience:
- 8+ years of AI/ML engineering experience with 3+ years in a leadership role.
- Proven track record of enterprise AI adoption and CoE leadership.
- Strong hands-on expertise in Azure AI services, Foundry, Databricks, and Microsoft Copilot integration.
- Proficiency in Python, C#, or similar languages.
- Knowledge of LLMs, prompt engineering, and responsible AI principles.
- Excellent stakeholder engagement, with the ability to translate technical concepts into business value.
- Education: Bachelor s or Master s in Computer Science, Data Science, AI/ML, or related field.
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