Artificial Intelligence & Automation Developer

Job Summary
The AI & Automation Developer is responsible for designing, building, deploying, operating, and continuously improving production-grade AI applications, agents, integrations, and intelligent automation solutions that connect approved AI models and platforms with Georgia Tech's data, systems, and business processes. Working in partnership with the AI & Automation Architect and other team members, this role translates institutional needs into secure, reliable, accessible, observable, and maintainable solutions that follow established architecture, governance, security, and data standards.

Job Summary
This position is at the level of Lead Professional, emphasizing enterprise-scale development and deep technical expertise in building and operating production AI and automation solutions, following enterprise AI, data, governance, and platform strategies set by senior leadership. For more information on this level, please visit URL

Responsibilities
Job Duty 1 - 
Design, develop, test, troubleshoot, deploy, and maintain AI applications, agents, integrations, workflows, reusable components, and automation features that connect approved technologies with Georgia Tech systems, data, and business processes.

Job Duty 2 - 
Build and maintain integrations between AI tools, automation platforms, Georgia Tech models, and internal systems using approved architecture, engineering, and platform standards.

Job Duty 3 - 
Implement guardrails, access controls, content-safety measures, approval points, auditable logging, and protections against misuse, sensitive-data exposure, unauthorized actions, and AI-specific risks, in alignment with AI Governance and Data Governance standards.

Job Duty 4 - 
Work with stakeholders to define user needs, workflows, success measures, data requirements, risks, accessibility needs, oversight points, acceptance criteria, and evaluation evidence.

Job Duty 5 - 
Translate validated requirements into user stories, prototypes, technical designs, and production-ready AI and automation solutions.

Job Duty 6 - 
Validate solution functionality, AI response quality, security, accessibility, reliability, performance, cost, and readiness before production release.

Job Duty 7 - 
Maintain technical, operational, governance, and support documentation needed for traceability, maintenance, review, audit readiness, and knowledge transfer, consistent with AI Governance and Data Governance requirements.

Job Duty 8 - 
Participate in code reviews and collaborate with technical teams to ensure solutions meet development, security, and maintainability standards.

Job Duty 9 - 
Evaluate emerging AI and automation technologies and recommend enhancements that improve operational efficiency, effectiveness, scalability, and user experience.

Job Duty 10 - 
Perform other duties as assigned.

Required Qualifications
Educational Requirements
Bachelor's degree in related discipline or equivalent, related experience

Required Experience
6+ years of relevant experience

Preferred Qualifications
Preferred Educational Qualifications
Master's degree in related discipline or equivalent, related experience

Preferred Qualifications
Preferred Experience 

Hands-on experience building integrations with AI, machine learning, or automation platforms in production environments. 
Experience using APIs, cloud-based AI services, and agentic, automation, and orchestration tools. 
Experience developing in one or more programming languages commonly used for AI and integration work (e.g., Python, JavaScript/TypeScript, C#). 
Experience with low-code or intelligent automation platforms (e.g., Microsoft Power Platform, UiPath). 
Experience working in iterative delivery environments, including participation in design reviews, code reviews, and knowledge transfer. 
Experience supporting higher education, research, healthcare, government, or large enterprise environments.