AI Manager I

Posting Number
req25922

Department
AZ Inst for AI and Society

Department Website Link
https://responsibleai.arizona.edu/ai2s

Location
Tucson Campus

Address
Tucson, AZ USA

Position Highlights

The AI Manager I leads the Applied AI & Campus Innovation team within the University of Arizona's AI²S and Office of Responsible AI (ORAI), reporting to the Senior Director. This position manages a team of five AI professionals responsible for designing, developing, and deploying AI-powered tools, applications, and capabilities that advance the University's academic, research, and administrative priorities. The manager drives applied AI strategy, identifies high-impact opportunities for AI tool adoption across campus, and ensures delivered solutions are scalable, responsible, and aligned with institutional AI governance standards. The position serves as a key bridge between emerging AI technologies and the practical needs of faculty, staff, students, and campus partners, championing innovation while maintaining rigorous standards for responsible AI implementation.

Visa sponsorship is not available for this position.

Duties & Responsibilities

AI Tool Development & Application Delivery:

• Leads the design, development, and deployment of AI-powered tools, applications, and workflows for campus use, with a focus on practical, high-impact solutions that advance University research, teaching, and operational objectives.

• Manages the full application development lifecycle from requirements gathering and prototyping through testing, deployment, and iteration.
• Ensures developed tools meet institutional standards for responsible AI, data privacy, accessibility, and security.
• Directs team members in applying AI/ML techniques, LLM integrations, API development, and software engineering best practices to deliver reliable, scalable campus solutions.

Team Leadership & Professional Development:

• Plans, directs, and evaluates the day-to-day work of a team of five AI professionals, including AI/ML engineers, developers, and applied researchers.
• Establishes clear performance expectations, provides ongoing coaching and feedback, and conducts formal performance evaluations.
• Identifies and supports individual development opportunities to build technical depth and innovation capacity across the team.
• Fosters a collaborative, mission-driven team environment aligned with ORAI's responsible AI values and the University's commitment to inclusive excellence.

Campus AI Innovation & Stakeholder Engagement:

• Identifies, prioritizes, and advances opportunities to deploy AI tools and capabilities that meet the evolving needs of campus faculty, staff, students, and administrative units.
• Partners with colleges, departments, and research groups to understand requirements and co-develop applied AI solutions.
• Communicates AI tool capabilities, limitations, and responsible use guidelines to various campus audiences.
• Represents AI²S/ORAI in campus working groups, advisory bodies, and innovation initiatives related to applied AI adoption.

Research Software Engineering & Technical Infrastructure:

• Applies research software engineering principles to ensure AI tools and applications are built on robust, maintainable, and interoperable technical foundations.
• Oversees integration of AI capabilities with existing University platforms, APIs, and research computing infrastructure, including cloud-based AI services (e.g., AWS Bedrock).
• Ensures documentation, version control, testing protocols, and deployment pipelines meet institutional and software engineering standards.
• Collaborates with the Cyberinfrastructure & Systems team to align application development with underlying infrastructure capabilities.

AI Governance, Responsible AI Compliance & Reporting:

• Ensures all AI tools and applications developed by the team adhere to the University's responsible AI framework, data governance policies, and applicable regulatory requirements.
• Reviews and evaluates AI solutions for bias, fairness, transparency, and alignment with ethical AI principles.
• Contributes to ORAI AI governance activities, policy development, and institutional reporting on applied AI initiatives.
• Maintains awareness of emerging AI technologies, regulatory developments, and peer institution practices to inform continuous improvement of the team's approach.

Knowledge, Skills and Abilities:

• Practical knowledge of AI/ML concepts, techniques, and application development, including large language models (LLMs), generative AI, predictive modeling, and data analysis.
• Knowledge and understanding of research software engineering principles, software development lifecycles, and technical documentation standards.
• Knowledge of responsible AI frameworks, data privacy regulations (e.g., FERPA, HIPAA applicability), and institutional AI governance practices.
• Knowledge and understanding of cloud AI platforms, API ecosystems, and integration patterns for enterprise AI tool deployment.
• Knowledge and understanding of responsible AI principles, data privacy regulations, and AI governance frameworks.
• Strong applied AI and software development skills, with demonstrated ability to move from concept to working application.
• Effective team leadership and people management skills, including performance coaching, goal-setting, and staff development.
• Ability to provide clear and accessible communication skills, including the ability to explain AI capabilities and limitations to non-technical campus stakeholders.
• Project management and prioritization skills, with the ability to manage multiple concurrent initiatives in a dynamic environment.
• Proficiency in AI/ML frameworks and tools (e.g., Python, LangChain, OpenAI/Anthropic APIs, Hugging Face, or equivalent) and software development practices including version control, CI/CD, and API development.
• Ability to identify high-impact opportunities for AI tool adoption and translate campus needs into practical, responsible AI solutions.
• Ability to build collaborative relationships across varioius university stakeholders, including faculty, staff, administrators, and technical teams.
• Ability to stay current with rapidly evolving AI technologies and evaluate their applicability and responsible use in a university context.
• Ability to cultivate an innovative, and mission-aligned team culture consistent with ORAI's responsible AI values.

This job posting reflects the general nature and level of work expected of the selected candidate(s). It is not intended to be an exhaustive list of all duties and responsibilities. The institution reserves the right to amend or update this description as organizational priorities and institutional needs evolve.

Minimum Qualifications

• Bachelor's degree or equivalent advanced learning attained through professional-level experience required.
• Minimum of 3 years of related work experience, or equivalent combination of education and work experience required.

Preferred Qualifications

• Experience designing, developing, and deploying AI/ML-powered tools or applications in an applied or enterprise environment.
• Experience managing or leading a technical team, including setting priorities, evaluating performance, and supporting professional development.
• Experience working with cloud-based AI platforms (e.g., AWS Bedrock, Azure OpenAI, or equivalent) preferred.
• Experience in a higher education, research, or public sector environment preferred.
• Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Science, or a related field preferred.

FLSA
Exempt

Full Time/Part Time
Full Time

Number of Hours Worked per Week
40

Job FTE
1.0

Work Calendar
Fiscal

Job Category
Planning and Analysis

Benefits Eligible
Yes - Full Benefits

Rate of Pay
$117,883 - $153,248

Compensation Type
salary at 1.0 full-time equivalency (FTE)

Grade
13

Compensation Guidance
The Rate of Pay Field represents the University of Arizona's good faith and reasonable estimate of the range of possible compensation at the time of posting. The University considers several factors when extending an offer, including but not limited to, the role and associated responsibilities, a candidate's work experience, education/training, key skills, and internal equity.

The Grade Range represent a full range of career compensation growth over time. The university offers compensation growth opportunities within its career architecture. To learn more about compensation, please review our Applicant Compensation Guide and our Total Rewards Calculator.

Career Stream and Level
M1

Job Family

Job Function
Planning & Analysis

Type of criminal background check required:
Fingerprint criminal background check (security sensitive due to title or department)

Number of Vacancies
1

Target Hire Date

Expected End Date

Contact Information for Candidates
Angela Cruze I [email protected]

Open Date
5/8/2026

Open Until Filled
Yes

Documents Needed to Apply
Resume and Cover Letter

Special Instructions to Applicant