AI Engineering Leader || North Carolina or Atlanta, GA (Onsite)
Why This Role Stands Out
This role offers a significant opportunity to lead AI-driven innovation and shape the future of engineering delivery for a reputable company. You'll thrive if you possess extensive experience in large-scale technology programs and cloud-native platforms, eager to drive impactful growth and set new standards in AI engineering. Apply now to make your mark!
Quick Overview
Job Description
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.
Skills
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