AI Solutions Developer

Fairfield University • Fairfield, CT

3d

About The Position

The AI Solutions Developer designs, builds, tests, and supports software solutions using AI, web, and cloud technologies to serve faculty, staff, and students. The role develops AI-enabled applications, assistants, and agents; integrates third-party tools with the University’s ecosystem; and maintains or modernizes existing custom applications. It collaborates with analysts, developers, database administrators, and infrastructure and security staff, while providing strong customer service, clear status communication, and effective independent and team-based work.

The position helps shape the University’s AI capabilities by evaluating, configuring, integrating, and extending enterprise AI platforms and cloud AI services. It takes a platform-agnostic approach, selecting tools appropriate to institutional needs. Where commercial platforms are insufficient, the developer designs agent-based architectures, retrieval-augmented generation solutions, and custom AI workflows. The role helps establish AI architecture, guide technology adoption, and deliver secure, scalable solutions that improve user experience and operational efficiency. It prioritizes automation and AI integrations with Workday, related data lakes, and Workday’s native development and agent platforms as adopted by the University.

The position is in Information Technology Services, Enterprise Systems, and reports to the Chief Technology Officer or, upon hire, a designated Enterprise Systems Director. It is full-time and exempt. On-premise, hybrid, and fully remote arrangements are all considered.

Requirements

• 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 sensitive data.
• Experience integrating with an enterprise ERP or student information system through APIs or integration tools.

Nice To Haves

• Workday experience.
• Experience with LLM APIs, prompt engineering, and AI agent or chat development.
• Familiarity with agent orchestration patterns and tools such as LangChain, LangGraph, or MCP-based integrations.
• Experience with vector databases, semantic retrieval, or real-time data pipelines.
• Experience with Docker, Kubernetes, or equivalent container orchestration.
• Familiarity with Microsoft Power Platform, Azure DevOps, or AWS Bedrock.
• Experience with legacy Java or .NET applications.
• Experience with tools used across Fairfield’s environment, such as Workday, Freshservice, BoodleBox, Snowflake, Tableau, or Qualtrics.
• Experience working across hybrid Windows and Linux environments.

Responsibilities

• Develop AI-powered assistants, chat capabilities, and agents to help faculty, staff, and students complete daily tasks.
• Build and maintain infrastructure and pipelines that support real-time AI interactions in production.
• Prototype AI-enabled features, evaluate performance against defined criteria, and refine them using user feedback.
• Design, build, and integrate AI-enabled applications, APIs, microservices, and automation workflows across cloud and on-premise environments.
• Extend Workday functionality 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 maintainability.
• Gather, refine, and validate technical and functional requirements 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 reviews 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 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 sensitive-data handling.
• Provide operational support for critical applications, including monitoring, incident response, and performance tuning.
• Perform other duties, responsibilities, and activities as required by the supervisor and as departmental or University needs indicate.

Benefits

• Eligible employees may receive health, dental, and retirement benefits.
• Eligible employees may receive paid time off.
• Eligible employees may receive tuition benefits.
• Other benefits may be available according to institutional policy.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level