Edtech.com's Summary

Cornell University is hiring an AI Engineer for its Information Technology organization on the Ithaca campus. The on-site, two-year term role designs, builds, and deploys production-grade AI solutions, primarily using Generative AI, large language models, and cloud-native technologies, to support administrative, academic, and research needs. It works with project managers, architects, developers, faculty, and IT teams throughout the software development lifecycle.

Highlights

Design, develop, and deploy secure, scalable AI applications built on generative AI, large language models, and cloud-native technologies.
Build agentic AI applications and reusable AI capabilities that serve administrative, academic, and research needs.
Integrate AI services with enterprise systems and identity controls using protocols such as OAuth 2.0, OIDC, SAML, JWT, LDAP, and Microsoft Identity.
Take part in the full software development lifecycle and support production operations to improve reliability and performance.
Work with project managers, business analysts, architects, developers, faculty, and IT teams to deliver solutions aligned with institutional strategy.
Three to five or more years of professional software engineering experience, with strong Python or Node.js and experience building cloud-native applications on AWS, Azure, or GCP.
Preferred experience includes vector databases, agent frameworks, MLOps and CI/CD practices, and responsible AI and model governance.
Two-year term appointment, 100% on-site in Ithaca, with pay of $98,548 to $114,529 and no visa sponsorship.

AI Engineer Full Description

AI Engineer [Onsite] [2 Year Term]

Information Technology, Cornell University | Ithaca, NY | 100% on-site | Full time

Requisition: WDR-00061808 | University job title: Software Engineer III

Pay range: $98,548 - $114,529

This is a 2 year temporary with benefits appointment which may be ended or extended based on organizational needs, funding availability, and performance. No visa sponsorship is available.

About Information Technology at Cornell

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. IT operates as one partnering closely with faculty, staff, and students to support teaching, research, and business operations.

What You Will 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.

Required Qualifications

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.

Application Information

A resume is required; a cover letter is strongly encouraged. No visa sponsorship or relocation assistance is available for this position.

Let me find your next job.

Thanks - you're signed up.

AI Engineer

Edtech.com's Summary

AI Engineer Full Description

Senior .NET Engineer

Applications Programmer V

Applications Developer 2

Artificial Intelligence Engineer - Matrix AI Consortium

Remote Grading Assistant - Software Development Life Cycle (SDLC) II (Spring 2027) - College of Engineering and Technology