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AI Engineer

  • ITHACA, NY, United States

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Job details

Posting language
English
Posted

Original job description

AI Engineer [Onsite] [2 Year Term]No Visa Sponsorship is available for this position. This position is 100% on-site and located on the Cornell University Campus in Ithaca, New York. This is a 2 year temporary with benefits appointment which may be ended or extended based on organizational needs, funding availability, and performance. 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. 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 daytoday needs to large, complex initiatives that advance major academic, research, and operational objectives across the university. Check out this link to find out more aboutIT@Cornell What will you do:The AI Engineer is responsible for designing, developing, and deploying productiongrade AI solutions that support administrative, academic, and research needs across the university. This role builds and maintains secure, scalable, and highperforming AI applications-primarily leveraging Generative AI, large language models (LLMs), and cloudnative 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. What We Need * A resume is required for further consideration for this position. A cover letter outlining your interest and how your experience and goals align with the potential for mutual success in the role are strongly encouraged for consideration. When applying through our system, please remember to attach your application materials (Cover Letter and Resume) in PDF format.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 cloudnative 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, problemsolving, and performanceoptimization 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 de

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Skills

  • Research
  • Computer science
  • AWS
  • Microsoft Azure
  • Google Cloud
  • SAML
  • Debugging
  • ML

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