Haystack
← Back to Jobs
Other

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

InfiCareAtlanta, GA🇺🇸United StatesPosted 23 Jul 2026

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

Work Type
On Site
Level
Mid Senior

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

Django
FastAPI
Flask
Microservices
Spring
Spring Boot
AWS
NumPy
Azure
C#
.NET
ASP.NET
Forecasting
Google Cloud
Java
Kafka
Kubernetes
LLM
Pandas
Python

Similar jobs