AI Engineer

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. 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 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: No Visa Sponsorship of any kind is available for this position. No Relocation assistance will be provided for this position . Rewards and Benefits University Job Title: Software Engineer III Job Family: Information Technology Level: F Pay Rate Type: Salary Pay Range: $98,548.00 - $114,529.00 Remote Option Availability: Onsite Company: Endowed Contact Name: Maria Avila Contact Email: mia28@cornell.edu Job Titles and Pay Ranges: Non-Union Positions Noted pay ranges reflect the potential pay opportunity for each job profile. The hiring rate of pay for the successful candidate will be determined considering the following criteria: Prior relevant work or industry experience Education level to the extent education is relevant to the position Unique applicable skills Academic Discipline Union Positions Current Employees: Online Submission Guidelines : Employment Assistance: Notice to Applicants: EEO Statement: Cornell welcomes students, faculty, and staff with diverse backgrounds from across the globe to pursue world-class education and career opportunities, to further the founding principle of "... any person ... any study." No person shall be denied employment on the basis of any legally protected status or subjected to prohibited discrimination involving, but not limited to, such factors as race, ethnic or national origin, citizenship and immigration status, color, sex, pregnancy or pregnancy-related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual's genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law. Cornell University embraces diversity in its workforce and seeks job candidates who will contribute to a climate that supports students, faculty, and staff of all identities and backgrounds. We hire based on merit, and encourage people from historically underrepresented and/or marginalized identities to apply. Consistent with federal law, Cornell engages in affirmative action in employment for qualified protected veterans as defined in the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and qualified individuals with disabilities under Section 503 of the Rehabilitation Act. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law. 2026-10-12