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About the Role
The Senior AI Engineer serves as the technical lead for the AI Engineering team, providing expert-level guidance, architectural leadership, and hands-on development in support of Cornell’s enterprise AI services. This role is responsible for designing, developing, and maintaining complex production-grade AI applications and systems, ensuring they meet the highest standards of security, scalability, and reliability. The Senior AI Engineer mentors developers and technical leads, establishes engineering best practices, and ensures AI projects remain on the correct technical trajectory throughout the development lifecycle.
Responsibilities
- Designs, develops, and maintains complex production-grade AI applications and systems.
- Ensures AI applications meet high standards of security, scalability, and reliability.
- Mentors developers and technical leads.
- Establishes engineering best practices.
- Ensures AI projects remain on the correct technical trajectory.
- Directs and evaluates advanced AI solutions.
- Leads the development and enhancement of enterprise AI systems.
- Formulates standards and methodologies for AI application development.
- Collaborates with the Principal Solutions Architect for the AI Platform to define patterns and reference architectures.
- Ensures all AI Innovation Lab applications are production-ready and aligned with Cornell’s secure AI infrastructure.
- Applies technical expertise across Generative AI technologies, API development, authentication and identity protocols, and cloud-native architectures.
- Integrates AI Innovation Lab services with Cornell enterprise systems using standards such as OAuth 2.0, OIDC, SAML, JWT, LDAP, and Microsoft identity services.
- Develops or refines procedures to address complex challenges related to system capacity, operational constraints, and distributed AI system performance.
- Provides technical direction to project teams, including project managers, business analysts, subject-matter experts, developers, and quality-assurance specialists.
- Ensures solutions are well-designed, well-implemented, and aligned with institutional strategy.
- Fosters a culture of belonging and a healthy work environment by communicating across differences, being cooperative, collaborative, open, and welcoming.
- Shows respect, compassion, and empathy.
- Engages and supports others regardless of background or perspective.
- Speaks up when others are being excluded or treated inappropriately.
- Supports work/life integration of oneself and others.
Requirements
- Bachelor’s degree in computer science, software engineering, information technology, or a related field; or an equivalent combination of education and experience.
- 5–7 years of professional software engineering experience, demonstrating progressively advanced responsibility in designing and developing production‑grade applications and services.
- Proven ability to design, build, test, deploy, and maintain complex AI or ML‑driven applications in a production environment, ensuring high levels of security, reliability, and scalability.
- Strong experience developing cloud‑native applications and services, preferably in AWS or a comparable cloud platform.
- Demonstrated expertise with Generative AI technologies, API development, and distributed systems engineering.
- Experience integrating applications with enterprise identity and authentication systems, using protocols such as OAuth 2.0, OIDC, SAML, JWT, LDAP, and Microsoft identity services.
- Demonstrated ability to provide technical leadership, mentor developers and technical leads, establish engineering best practices, and guide solutions throughout the development lifecycle.
- Strong analytical and problem‑solving skills, with experience addressing complex system capacity, performance, and operational challenges.
- Excellent written and verbal communication skills, with the ability to translate complex technical concepts for diverse audiences.
- Ability to cultivate and develop inclusive working relationships with students, faculty, staff, and community members.
Skills
- Generative AI technologies
- API development
- Distributed systems engineering
- Cloud-native applications
- AWS
- OAuth 2.0
- OIDC
- SAML
- JWT
- LDAP
- Microsoft identity services
- System capacity
- Operational constraints
- Distributed AI system performance
- Docker
- Kubernetes
- ECS
- DevOps
- MLOps
- CI/CD pipelines
- Observability
- Monitoring
- Logging
- Metrics
- Tracing
- Reliability-focused engineering
- Model governance
- Responsible AI frameworks
- AI risk management
- Data privacy
- Compliance
- Enterprise integration patterns
- Secure API gateways
- Identity-driven architectures
Location
- Ithaca, New York
Work Type
- Onsite
Experience Level
- 5-7 years of professional software engineering experience
- Senior
Education Level
- Bachelor’s degree in computer science, software engineering, information technology, or a related field
- Master’s degree in computer science, data science, software engineering, information systems, or a related technical field (Preferred)
Salary/Compensations
- $116,843.00 - $142,809.00
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
- Two additional floating holidays
- Tuition-free Extramural Study
- Employee Degree Program
- Tuition aid for external education
- Cornell Children’s Tuition Assistance Program
About the Company
- 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.
- 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.
- Cornell receives national recognition as an award-winning workplace for our health, wellbeing, and sustainability.
Equal Opportunity
- 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 be 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.