Edtech.com's Summary

Georgia Institute of Technology is hiring an Artificial Intelligence & Automation Developer to build and run production AI applications, agents, and automations that connect approved AI models with the Institute's data, systems, and business processes. The developer works alongside the AI & Automation Architect to turn institutional needs into secure, accessible, and maintainable solutions that follow Georgia Tech's architecture, governance, and data standards. The position sits at the Lead Professional level, which calls for enterprise-scale development and deep technical expertise.

Highlights

Design, build, test, and deploy AI applications, agents, integrations, and reusable automation components that tie approved AI technologies into Georgia Tech systems and data.
Implement guardrails such as access controls, content-safety measures, approval points, and auditable logging to protect against misuse and sensitive-data exposure.
Meet with stakeholders to define user needs, workflows, success measures, and acceptance criteria, then turn them into user stories, prototypes, and technical designs.
Validate each solution's functionality, AI response quality, security, accessibility, reliability, performance, and cost before it goes into production.
Maintain technical, operational, and governance documentation that supports audits, maintenance, and knowledge transfer under AI Governance and Data Governance requirements.
Join code reviews with other technical teams and evaluate emerging AI and automation tools, recommending upgrades that improve efficiency and scalability.
Hold a bachelor's degree in a related discipline, or equivalent related experience, plus six or more years of relevant professional experience.
Bring preferred experience with production AI or machine learning integrations, cloud AI service APIs, and programming in Python, JavaScript/TypeScript, or C#.
Prefer candidates familiar with low-code and intelligent automation platforms such as Microsoft Power Platform and UiPath.
The posted salary range is $120,500 to $170,000, depending on experience and preferred skills.

Artificial Intelligence & Automation Developer Full Description

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.

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.

Responsibilities

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.
Build and maintain integrations between AI tools, automation platforms, Georgia Tech models, and internal systems using approved architecture, engineering, and platform standards.
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.
Work with stakeholders to define user needs, workflows, success measures, data requirements, risks, accessibility needs, oversight points, acceptance criteria, and evaluation evidence.
Translate validated requirements into user stories, prototypes, technical designs, and production-ready AI and automation solutions.
Validate solution functionality, AI response quality, security, accessibility, reliability, performance, cost, and readiness before production release.
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.
Participate in code reviews and collaborate with technical teams to ensure solutions meet development, security, and maintainability standards.
Evaluate emerging AI and automation technologies and recommend enhancements that improve operational efficiency, effectiveness, scalability, and user experience.
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 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.

Proposed Salary

$120,500 to $170,000 depending on experience and preferred skills.

Knowledge, Skills, & Abilities

Strong knowledge of software engineering principles, including modular design, testing practices, version control, and continuous integration and delivery.
Strong understanding of how AI models behave in production, including non-deterministic outputs, prompt sensitivity, failure modes, and evaluation techniques.
Strong understanding of API design, authentication methods, and integration patterns for connecting services, platforms, and enterprise systems.
Working knowledge of secure coding practices and common vulnerabilities, including those specific to AI-enabled applications.
Working knowledge of data structures, data quality, and data handling practices sufficient to work responsibly with enterprise data in partnership with data teams.
Knowledge of accessibility and usability principles as they apply to AI-enabled user experiences.
Ability to build solutions that are observable, supportable, and maintainable by others over time.
Ability to understand business processes and user workflows and identify where AI and automation add value and where they do not.
Ability to rapidly learn and apply new tools, frameworks, and models as the technology landscape evolves.
Excellent written and verbal communication skills, with the ability to explain solution options, limitations, risks, and tradeoffs to non-technical audiences.
Strong analytical, problem-solving, and organizational skills, with discretion in handling sensitive information.

Location

Atlanta, Georgia (In Person Work, in the Office)

Other Information

This is not a supervisory position.
This is a position of trust (access to sensitive data).
This position will not be required to drive an Institute vehicle.
This position will not be required to travel.
This position does not have any direct financial responsibilities.
This position does not require a purchasing card (P-Card).
This position does not require security clearance.

Background Check

Successful candidate must be able to pass a background check.

Equal Employment Opportunity

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services.

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