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# AI Engineer

- **Company:** Cornell University
- **Location:** Ithaca, NY, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $98,548.0 - $114,529.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Microsoft Azure, Encodings, Software Debugging, DevOps, Python (Programming Language), Lightweight Directory Access Protocols (LDAP), Microsoft Software, Node.Js, OAuth, OpenID, Performance Tuning, Reliability Engineering, JSON Web Token, Security Assertion Markup Language (SAML), Software Engineering, Spring Cloud, Large Language Models, Generative AI, Agentic-AI, Containerization, AI Platforms, Kubernetes, Information Technology, Machine Learning Operations, Docker
- **Published:** October 15, 2026
- **Apply:** https://cornell.wd1.myworkdayjobs.com/CornellCareerPage/job/Ithaca-Main-Campus/AI-Engineer_WDR-00061808-1

## About the Role

* Bachelor's degree in computer science, software engineering, information technology, or related field; or equivalent combination of education and experience.
 * 3-5+ years of professional software engineering experience.
 * Demonstrated ability to design, build, test, and deploy Agentic AI applications.
 * Experience developing cloud-native applications (AWS, Azure, or GCP).
 * Experience integrating applications with enterprise identity systems using protocols such as OAuth 2.0, OIDC, SAML, JWT, LDAP, and Microsoft Identity.
 * Strong experience with Python, Node.js, or comparable languages for AI application development.
 * Strong debugging, problem-solving, and performance-optimization skills.
 * Excellent written and verbal communication skills.
 * Ability to cultivate and develop inclusive working relationships with students, faculty, staff, and community members.

Preferred Qualifications:

 * Master's degree in computer science, data science, AI/ML, or a related field.
 * Experience delivering or supporting Generative AI / LLM-backed applications in production environments.
 * Experience with vector databases, embedding pipelines, model orchestration frameworks, or agent frameworks.
 * Familiarity with DevOps/MLOps practices, CI/CD pipelines, observability, monitoring, and reliability engineering.
 * Experience with containerization/orchestration (Docker, Kubernetes, ECS).
 * Knowledge of responsible AI principles, model governance, data privacy, and AI risk management.
 * Experience working in higher education, research computing, or similarly complex environments.

## Description

Information Technology (IT) is a strategic enabler for many functions at Cornell University, with staff located across colleges, administrative units, and campuses throughout the institution. While comprised of many organizations, IT operates as one partnering closely with faculty, staff, and students to support teaching, research, and business operations. By being embedded where the Cornell community is, IT is well positioned to provide support ranging from day-to-day needs to large, complex initiatives that advance major academic, research, and operational objectives across the university. Check out this link to find out more about IT@Cornell

What will you do:

The AI Engineer is responsible for designing, developing, and deploying production-grade AI solutions that support administrative, academic, and research needs across the university. This role builds and maintains secure, scalable, and high-performing AI applications-primarily leveraging Generative AI, large language models (LLMs), and cloud-native technologies. The AI Engineer collaborates with project managers, business analysts, architects, developers, faculty, and IT teams to deliver innovative solutions aligned with institutional strategy and technology standards.

The position contributes to building reusable AI capabilities, integrating AI services with enterprise systems, ensuring strong security and identity controls, and implementing engineering best practices. The AI Engineer participates in the full software development lifecycle, supports production operations, and provides technical expertise to improve reliability, performance, and user experience.

While position responsibilities vary, every member of our community is expected to foster a culture of belonging and a healthy work environment by communicating across differences; being cooperative, collaborative, open, and welcoming; showing respect, compassion, and empathy; engaging and supporting others regardless of background or perspective; speaking up when others are being excluded or treated inappropriately; and supporting work/life integration of oneself and others.