Lead AI & Automation Engineer

Georgia Institute of Technology; Atlanta (GA); On-site; USD 121,000 - 170,000; Full time

Job summary

Georgia Institute of Technology in Atlanta seeks an AI & Automation Developer at Lead Professional level to design, build, deploy, and operate production-grade AI applications tying approved models to GT data, systems, and processes. This role emphasizes enterprise-scale solutions with governance, security, and observability.

You will collaborate with the AI & Automation Architect, participate in code reviews, and continuously improve automation workflows using modern languages and platforms.

Qualifications

• Bachelor's degree in related discipline or equivalent, related experience.
• 6+ years of relevant experience.

Responsibilities

• Design, develop, test, troubleshoot, deploy, and maintain AI applications and automation features connecting Georgia Tech systems and data.
• Build and maintain integrations between AI tools, automation platforms, and internal systems.
• Implement guardrails, access controls, and governance standards for AI solutions.
• Collaborate with stakeholders to define needs, requirements and evaluation evidence.
• Translate requirements into technical designs and production-ready solutions.
• Validate functionality, security, and performance before production release.
• Maintain documentation for governance and maintenance.

Skills

Python

JavaScript/TypeScript

C#

APIs

Cloud AI services

Low-code automation

Power Platform

UiPath

Code reviews

Education

Bachelor's degree in related discipline

Equivalent experience

Tools

Power Platform

UiPath

Job description

Georgia Institute of Technology in Atlanta seeks an AI & Automation Developer at Lead Professional level to design, build, deploy, and operate production-grade AI applications tying approved models to GT data, systems, and processes. This role emphasizes enterprise-scale solutions with governance, security, and observability.

You will collaborate with the AI & Automation Architect, participate in code reviews, and continuously improve automation workflows using modern languages and platforms.