Artificial Intelligence Systems Team Lead, Enterprise Architecture Data Management

University of Saskatchewan•Saskatoon, SK

4d•Hybrid

About The Position

The artificial intelligence (AI) systems team lead is responsible for leading the design, build, and deployment of institutional AI services that move from proof of concept into production within defined funding timelines. This role guides a technical team while shaping an AI systems roadmap that supports administrative automation, digital assistant capabilities, teaching and learning initiatives, and research computing. The team lead provides hands-on technical guidance while coordinating vendors, platforms, and institutional stakeholders to deliver operational AI services. The work focuses on producing measurable outcomes, including adoption, efficiency gains, and visible value from AI investment.

Requirements

A bachelor’s degree in computer science, data science, engineering, or a related field
Minimum of five years of experience in enterprise application development, platform engineering, or systems integration, including experience with secure data pipelines, privacy‑sensitive workloads, or research computing environments, as well as AI governance, model evaluation, risk assessment, and responsible AI practices
Experience providing leadership and mentorship to a team
Experience with AI and Machine Learning (ML) systems, cloud-based AI services, automation platforms, or intelligent workflow systems
Demonstrated experience delivering AI or automation solutions form proof of concept through production deployment
Ability to work effectively both independently and collaboratively in a team
Strong communication skills
Ability to translate institutional priorities into achievable AI-enabled solutions

Nice To Haves

Strong development skills in Python or Java with solid software engineering fundamentals is preferred
Proficiency with multi-agent or generative AI frameworks, AI vendor management, or higher education IT environments is an asset

Responsibilities

Leads AI initiatives from concept to production, delivering measurable value through documented adoption and efficiency gains
Delivers and maintains an institutional AI services roadmap with defined milestones, adoption targets, and success criteria aligned to funding timelines
Provides overall technical architecture guidance for AI solutions, including integration patterns, security models, data flows, and platform selection
Oversees the development and maintenance of AI infrastructure, including model orchestration layers, governance workflows, API integrations, and protected computing environments
Establishes and operates secure AI environments (e.g., sandbox, pilot, and production) to support research, teaching, and administrative use cases
Leads vendor and tool evaluation, selection, and relationship management for AI platforms and services
Contributes technical perspective to institutional AI governance processes, risk assessments, and compliance reviews
Coordinates with internal teams and the broader unit to align AI initiatives with enterprise architecture, identity infrastructure, and integration standards
Engages with faculty, researchers, and administrative units to identify high-value AI opportunities and manage expectations
Reports on AI initiative outcomes, including adoption rates, integration health, user feedback, cost avoidance, and risk posture to senior leadership
Maintains the reliability, performance, and security of AI tools and digital assistant services through established engineering practices
Adopts and promotes responsible AI practices aligned with university policy, unit standards, and applicable regulatory requirements
Provides technical guidance, mentorship, and workflow planning for team members, and contributes to performance feedback processes as appropriate
Remains current with AI industry trends, emerging platforms, and leading practices, recommending enhancements aligned with institutional priorities
Communicates and acts in a respectful and professional manner, collaborates effectively, abides by policy, and contributes to a positive and productive work and learning environment
Engages in continuous learning by participating in activities, training, and events related to Indigenous engagement, reconciliation, equity, diversity, and inclusion
Demonstrates respect and dignity for all members of the community, actively contributes to an environment of acceptance and inclusion of others, and responds to different perspectives from a place of curiosity, respect, and non-judgement
Undertakes related duties as assigned, consistent with the nature of the position