AI Engineer
About The Position
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.
Requirements
- 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
Nice To Haves
- 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
Responsibilities
- Designing, developing, and deploying production-grade AI solutions
- Building and maintaining secure, scalable, and high-performing AI applications, primarily leveraging Generative AI, large language models (LLMs), and cloud-native technologies
- Collaborating with project managers, business analysts, architects, developers, faculty, and IT teams to deliver innovative solutions aligned with institutional strategy and technology standards
- Contributing to building reusable AI capabilities
- Integrating AI services with enterprise systems
- Ensuring strong security and identity controls
- Implementing engineering best practices
- Participating in the full software development lifecycle
- Supporting production operations
- Providing technical expertise to improve reliability, performance, and user experience
- Fostering a culture of belonging and a healthy work environment
Benefits
- Comprehensive health care options
- Generous retirement contributions
- Access to wellness programs
- Employee discounts with local and national retail brands
- Health and personal leave
- Three weeks of vacation
- 13 holidays: Martin Luther King, Jr. Day, Memorial Day, Juneteenth, Independence Day, Labor Day, Thanksgiving and the day after, and an end of the year winter break from December 25-January 1
- Two additional floating holidays
- Tuition-free Extramural Study and Employee Degree Program
- Tuition aid for external education
- Cornell Children's Tuition Assistance Program
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
