Engineering Leader - AI Architect

Nexwave

Atlanta (GA)

On-site

USD 150,000 - 190,000

Full time

15 hours ago
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Job summary

Nexwave in Atlanta is seeking a Product Engineering Leader to be embedded onsite with our client. This is a builder's role, not a coordinator position, at the intersection of business, product, and engineering to shape ideas and drive execution.

You will architect scalable solutions, deliver enterprise-grade applications across .NET, Java, or similar stacks, and embed Agentic AI capabilities into workflows and systems, ensuring delivery excellence from concept to production.

Responsibilities

  • Partner directly with client leadership to identify opportunities and shape solution pathways
  • Translate business outcomes into scalable product and system architecture
  • Architect and build enterprise-grade applications across .NET, Java, or similar stacks
  • Embed Agentic AI capabilities into workflows, products, and operational systems
  • Own end-to-end PDLC/SDLC execution with strong governance and best practices
  • Drive delivery rigor: scope clarity, design discipline, engineering quality, and release excellence
  • Mentor teams and elevate engineering standards
  • Act as the single accountable leader onsite to "make it happen"

Job description

We are looking for a high-caliber Product Engineering Leader to be embedded onsite with our client.

This is not a coordinator role. This is a builder's role.

You will work at the intersection of Business, Product, and Engineering - shaping ideas, architecting scalable solutions, and driving flawless execution. You will operate across technology stacks, leverage Agentic AI capabilities, and ensure delivery excellence from concept to production.

What You Will Do:
  • Partner directly with client leadership to identify opportunities and shape solution pathways
  • Translate business outcomes into scalable product and system architecture
  • Architect and build enterprise-grade applications across .NET, Java, or similar stacks
  • Embed Agentic AI capabilities into workflows, products, and operational systems
  • Own end-to-end PDLC/SDLC execution with strong governance and best practices
  • Drive delivery rigor: scope clarity, design discipline, engineering quality, and release excellence
  • Mentor teams and elevate engineering standards
  • Act as the single accountable leader onsite to "make it happen"
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