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Fabric Engineer

  • Fabric Engineer job type Posted on: Oct 12, 2026
  • Fabric Engineer experience level Openkyber
  • Fabric Engineer employment type Atlanta, Georgia
  • Fabric Engineer employment type Remote
  • Fabric Engineer salary Full-time

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Job Title :

Fabric Engineer

Job Type :

Full-Time

Job Location :

Atlanta Georgia United States

Remote :

Yes

Jobcon Logo Job Description :

AI Delivery Lead (Data & AI) Insurance Location: Remote (East Coast Preferred) | 20 30% Travel Employment Type: Full-Time Experience: 12 16 Years About the Role We are hiring an experienced AI Delivery Lead to drive enterprise Data & AI engagements for one of our clients. This is a highly visible client-facing leadership role where you'll own technical delivery, solution architecture, executive stakeholder engagement, and AI-driven transformation initiatives within the insurance domain. The ideal candidate combines strong technical depth in modern Microsoft data platforms with the ability to lead executive conversations, influence strategy, and deliver complex Data & AI programs.

Key Responsibilities:
  • Lead end-to-end delivery of enterprise Data & AI programs from solution design through implementation.
  • Serve as the primary technical advisor for client stakeholders and executive leadership.
  • Define solution architecture and technical direction across modern Azure data platforms.
  • Present technical solutions and strategic recommendations to business and executive audiences.
  • Create high-quality PowerPoint presentations and solution decks for customers and internal leadership.
  • Drive adoption of AI-enabled and agentic delivery approaches across engagements.
  • Collaborate with Sales and Pre-Sales teams on technical solutioning, proposals, and client presentations.
  • Provide technical leadership to cross-functional engineering and delivery teams.
  • Build trusted relationships with client leadership while ensuring successful project execution.
Required Skills:
  • 12 16 years of overall IT experience with leadership in Data & AI delivery.
  • Experience in AVP, Senior AVP, Delivery Lead, Solution Lead, or similar leadership roles.
  • Strong background in the Insurance industry (Group Insurance preferred).
  • Hands-on architecture experience with Microsoft Fabric.
  • Strong expertise in the Microsoft Azure Data ecosystem, including: Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks.
  • Strong knowledge of data modeling, enterprise data warehousing, and modern analytics architectures.
  • Understanding of Agentic AI frameworks and AI-driven software delivery practices.
  • Excellent executive communication, presentation, and stakeholder management skills.
  • Ability to travel 20 30% as required.
  • Candidates located on the US East Coast are strongly preferred.
  • Immediate availability is highly desirable.
Preferred Qualifications:
  • Experience leading large enterprise Data & AI transformation programs.
  • Strong consulting and client-facing background.
  • Experience working closely with executive leadership and C-level stakeholders.
  • Proven ability to lead geographically distributed delivery teams.

For applications and inquiries,

Jobcon Logo Position Details

Posted:

Oct 12, 2026

Reference Number:

90089-38381

Employment:

Full-time

City:

Atlanta

Job Origin:

CIEPAL_ORGANIC_FEED

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AI Delivery Lead (Data & AI) Insurance Location: Remote (East Coast Preferred) | 20 30% Travel Employment Type: Full-Time Experience: 12 16 Years About the Role We are hiring an experienced AI Delivery Lead to drive enterprise Data & AI engagements for one of our clients. This is a highly visible client-facing leadership role where you'll own technical delivery, solution architecture, executive stakeholder engagement, and AI-driven transformation initiatives within the insurance domain. The ideal candidate combines strong technical depth in modern Microsoft data platforms with the ability to lead executive conversations, influence strategy, and deliver complex Data & AI programs.

Key Responsibilities:
  • Lead end-to-end delivery of enterprise Data & AI programs from solution design through implementation.
  • Serve as the primary technical advisor for client stakeholders and executive leadership.
  • Define solution architecture and technical direction across modern Azure data platforms.
  • Present technical solutions and strategic recommendations to business and executive audiences.
  • Create high-quality PowerPoint presentations and solution decks for customers and internal leadership.
  • Drive adoption of AI-enabled and agentic delivery approaches across engagements.
  • Collaborate with Sales and Pre-Sales teams on technical solutioning, proposals, and client presentations.
  • Provide technical leadership to cross-functional engineering and delivery teams.
  • Build trusted relationships with client leadership while ensuring successful project execution.
Required Skills:
  • 12 16 years of overall IT experience with leadership in Data & AI delivery.
  • Experience in AVP, Senior AVP, Delivery Lead, Solution Lead, or similar leadership roles.
  • Strong background in the Insurance industry (Group Insurance preferred).
  • Hands-on architecture experience with Microsoft Fabric.
  • Strong expertise in the Microsoft Azure Data ecosystem, including: Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks.
  • Strong knowledge of data modeling, enterprise data warehousing, and modern analytics architectures.
  • Understanding of Agentic AI frameworks and AI-driven software delivery practices.
  • Excellent executive communication, presentation, and stakeholder management skills.
  • Ability to travel 20 30% as required.
  • Candidates located on the US East Coast are strongly preferred.
  • Immediate availability is highly desirable.
Preferred Qualifications:
  • Experience leading large enterprise Data & AI transformation programs.
  • Strong consulting and client-facing background.
  • Experience working closely with executive leadership and C-level stakeholders.
  • Proven ability to lead geographically distributed delivery teams.

For applications and inquiries,

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