AI & Data Engineering Leader — Enterprise Platform & Azure

Pittsburgh Tomorrow

Pittsburgh (Allegheny County)

On-site

USD 170,000 - 230,000

Full time

2 days ago
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Job summary

eNGINE is hiring a Manager of AI and Data Engineering to lead the organization’s AI initiatives and develop talent in the AI space. This role owns the technical vision and architecture across AI platforms, guiding alignment with business and IT stakeholders.

The ideal candidate will define standards for Azure, Microsoft Fabric, Databricks, and Snowflake, drive enterprise-scale AI programs, and mentor engineers across the team.

Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related discipline.
  • 4+ years of hands-on data and AI engineering, including ML, analytics, or intelligent automation.
  • Demonstrated success delivering enterprise-scale production AI solutions.
  • Exceptional communication and influence skills.

Responsibilities

  • Establish technical standards, solution architectures, and engineering patterns for AI initiatives.
  • Lead technology decisions involving AI platforms, data platforms, cloud infrastructure, and automation.
  • Evaluate emerging AI technologies for enterprise applicability.
  • Create scalable architectural patterns balancing innovation, maintainability, security, and cost.
  • Serve as the coach for AI engineering across the organization.
  • Design and evolve AI platform capabilities across Azure, Databricks, Snowflake, and Microsoft Fabric.
  • Establish platform strategies for Generative AI, RAG, ML, agent frameworks, vector search, and automation.

Skills

Azure
Databricks
Microsoft Fabric
Snowflake
AI Platform Design
Leadership
Governance
Cloud Architecture

Education

Bachelor's degree in Computer Science / Engineering / Data Science

Tools

Azure DevOps
Copilot Studio
Microsoft Fabric

Job description

eNGINE is hiring a Manager of AI and Data Engineering to lead the organization’s AI initiatives and develop talent in the AI space. This role owns the technical vision and architecture across AI platforms, guiding alignment with business and IT stakeholders.

The ideal candidate will define standards for Azure, Microsoft Fabric, Databricks, and Snowflake, drive enterprise-scale AI programs, and mentor engineers across the team.

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