AI Solutions Engineer - Remote & Enterprise Systems

Fairfield University; United States; 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 using AI, web, and cloud technologies for faculty, staff, and students. The role includes integrating third-party tools, modernizing legacy systems, and shaping the university's AI architecture with Workday integrations.

The position collaborates across analysts, developers, and security teams, delivering secure, scalable AI solutions and operating in hybrid and on-premise environments.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a 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-premise 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 (AWS, Azure, or GCP)
• 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 / microservices

Git & CI/CD pipelines

AWS / Azure deployment

Security-by-design practices

Workday integration

Education

Bachelor's degree in Computer Science / IT / related field

Tools

Docker

Kubernetes

Git

Workday Extend

Job description

Fairfield University seeks an AI Solutions Developer to design, build, test, and support modern software using AI, web, and cloud technologies for faculty, staff, and students. The role includes integrating third-party tools, modernizing legacy systems, and shaping the university's AI architecture with Workday integrations.

The position collaborates across analysts, developers, and security teams, delivering secure, scalable AI solutions and operating in hybrid and on-premise environments.