AI Engineering Leader || North Carolina or Atlanta, GA (Onsite)

Hybrid in Atlanta, GA, US • Posted 4 days ago • Updated 4 days ago
Contract W2
Contract Independent
Contract Corp To Corp
1 Year
Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

  • AI
  • Leader

Summary

Job Title: AI Engineering Leader

Location: North Carolina or Atlanta, GA (Onsite)

Job Type: Full Time

Experience: 15–17 years

Job Overview

 

Our client is seeking a battle-tested AI Engineering Leader who sits at the intersection of delivery excellence and intelligent automation. This is a senior leadership role demanding someone who has shipped large-scale technology programmes across industry verticals, built or modernised cloud-native platforms, and is actively driving AI-powered delivery acceleration. You will anchor a delivery-led growth motion, working closely with practice, consulting, and client partner leaders to expand the portfolio while maintaining quality standards.

Key Responsibilities

 
  • Own end-to-end delivery of large-scale engineering portfolios across clients — on time, on budget, and to quality bar
  • Set and enforce engineering standards: architecture guardrails, code quality, DevSecOps, and release cadence across multi-team engagements
  • Embed AI tooling across the SDLC — from AI-assisted requirements and design through to automated testing, code generation, and incident response
  • Architect and operationalise agentic systems and workflows that reduce manual toil and accelerate delivery cycles
  • Carry full P&L accountability — margin, revenue, forecasting, and commercial hygiene
  • Serve as the senior delivery point-of-contact for clients at CTO/CIO/VP level

Required Skills

 
  • Cloud Platforms: Azure, AWS, or Google Cloud Platform; Infrastructure as Code, CI/CD, container orchestration, observability
  • Backend Engineering: .NET Full-Stack (C#, ASP.NET Core) and/or Java Distributed Systems (Spring Boot, Microservices, Kafka, Kubernetes)
  • Python Stack: FastAPI, Django/Flask, pandas, NumPy — for data pipelines, AI/ML integrations, and automation
  • AI & Automation: Agentic AI systems, LLM orchestration, RAG pipelines, multi-agent workflows, GitHub Copilot, Claude, Cursor

Preferred Skills

 
  • Experience across multiple industry verticals
  • Track record of legacy modernisation and greenfield platform delivery
  • Familiarity with AI tooling evaluation and production-readiness assessment in regulated environments

Location & Work Model

 

Onsite — North Carolina or Atlanta, GA. Candidates must be local or willing to relocate.

Engagement Details

 

Full-time permanent position. X openings available.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10113809
  • Position Id: 109921-1090-1784811090
  • Posted 4 days ago
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