AI Solutions Engineer — Remote/Hybrid

Fairfield University; Fairfield (CT); Hybrid; USD 80,000 - 120,000; Full time

Job summary

Fairfield University seeks an AI Solutions Developer to design, build, test, and support modern software solutions using AI, web, and cloud technologies for faculty, staff, and students. You will create AI-enabled applications, integrate third-party tools, and modernize legacy systems, collaborating with analysts, DBAs, and security teams to deliver secure, scalable solutions.

The role shapes the university’s AI capabilities, evaluating platforms like Microsoft Copilot, Claude, ChatGPT, and

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or related field, or equivalent professional experience.
• 3-5 years of hands-on software development experience, including building cloud-native and AI-enabled applications.
• Proficiency in Python and/or JavaScript, TypeScript, Java, or similar languages.
• Experience building and consuming REST APIs and microservices.
• Experience with Git-based version control and CI/CD pipelines.
• Experience deploying and operating services on AWS and/or Azure.
• Understanding of secure-by-design practices, including identity management, access controls, and handling of sensitive data.
• Experience integrating with an enterprise ERP or student information system through APIs or integration tools; Workday experience strongly preferred.

Responsibilities

• Develop AI-powered assistants, chat capabilities, and agents that help faculty, staff, and students complete daily tasks.
• Build and maintain the infrastructure and pipelines needed to support real-time AI interactions in production.
• Prototype new AI-enabled features, evaluate their performance against defined criteria, and refine them based on user feedback.
• Design, build, and integrate AI-enabled applications, APIs, microservices, and automation workflows across cloud and on-prem environments.
• Extend the functionality of Workday and integrate third-party tools with the broader university ecosystem.
• Maintain and modernize existing custom applications, including legacy Java and .NET systems.
• Evaluate emerging AI models, cloud services, and automation tools through proof-of-concept work, and share recommendations with the team.
• Establish reusable patterns and standards for agents, applications, and integrations to support scalability, security and long-term maintainability.
• Gather, refine, and validate technical and functional requirements in partnership with university stakeholders through the ITS PMO intake process.
• Create development estimates and schedules that support predictable, on-time delivery.
• Troubleshoot and debug applications, maintain code quality, and keep documentation current.
• Participate in design and code reviews, including review of AI-generated code, to maintain consistent development standards.
• Provide day-to-day peer support and collaborate across development, infrastructure, and security teams to resolve complex issues.
• Use AI-assisted development tools (e.g. Claude Code, GitHub Copilot, Cursor) to improve development productivity, testing and debugging.
• Deploy and operate services on AWS and/or Azure, including environment management, reliability, and observability.
• Build and maintain CI/CD pipelines using cloud provider tooling.
• Apply security, privacy, and governance practices to AI systems, including authentication, access controls, and handling of sensitive data.
• Provide operational support for critical applications, including monitoring, incident response, and performance tuning.

Skills

Python

JavaScript

TypeScript

Java

REST APIs

CI/CD

AWS/Azure

Security by design

Workday integration

Education

Bachelor's degree in CS/IT or related field

Tools

Docker

Kubernetes

Job description

Fairfield University seeks an AI Solutions Developer to design, build, test, and support modern software solutions using AI, web, and cloud technologies for faculty, staff, and students. You will create AI-enabled applications, integrate third-party tools, and modernize legacy systems, collaborating with analysts, DBAs, and security teams to deliver secure, scalable solutions.

The role shapes the university’s AI capabilities, evaluating platforms like Microsoft Copilot, Claude, ChatGPT, and