Summary 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.Duties and ResponsibilitiesLeads AI initiatives from concept to production, delivering measurable value through documented adoption and efficiency gainsDelivers and maintains an institutional AI services roadmap with defined milestones, adoption targets, and success criteria aligned to funding timelinesProvides overall technical architecture guidance for AI solutions, including integration patterns, security models, data flows, and platform selectionOversees the development and maintenance of AI infrastructure, including model orchestration layers, governance workflows, API integrations, and protected computing environmentsEstablishes and operates secure AI environments (e.g., sandbox, pilot, and production) to support research, teaching, and administrative use casesLeads vendor and tool evaluation, selection, and relationship management for AI platforms and servicesContributes technical perspective to institutional AI governance processes, risk assessments, and compliance reviewsCoordinates with internal teams and the broader unit to align AI initiatives with enterprise architecture, identity infrastructure, and integration standardsEngages with faculty, researchers, and administrative units to identify high‑value AI opportunities and manage expectationsReports on AI initiative outcomes, including adoption rates, integration health, user feedback, cost avoidance, and risk posture to senior leadershipMaintains the reliability, performance, and security of AI tools and digital assistant services through established engineering practicesAdopts and promotes responsible AI practices aligned with university policy, unit standards, and applicable regulatory requirementsProvides technical guidance, mentorship, and workflow planning for team members, and contributes to performance feedback processes as appropriateRemains current with AI industry trends, emerging platforms, and leading practices, recommending enhancements aligned with institutional prioritiesCommunicates and acts in a respectful and professional manner, collaborates effectively, abides by policy, and contributes to a positive and productive work and learning environmentEngages in continuous learning by participating in activities, training, and events related to Indigenous engagement, reconciliation, equity, diversity, and inclusionDemonstrates respect and dignity for all members of the community, actively contributes to an environment of acceptance and inclusiveness of others, and responds to different perspectives from a place of curiosity, respect, and non‑judgementUndertakes related duties as assigned, consistent with the nature of the positionQualificationsA bachelor’s degree in computer science, data science, engineering, or a related fieldMinimum 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 practicesExperience providing leadership and mentorship to a teamExperience with AI and Machine Learning (ML) systems, cloud‑based AI services, automation platforms, or intelligent workflow systemsDemonstrated experience delivering AI or automation solutions from proof of concept through production deploymentAbility to work effectively both independently and collaboratively in a teamStrong communication skillsAbility to translate institutional priorities into achievable AI‑enabled solutionsStrong development skills in Python or Java with solid software engineering fundamentals is preferredProficiency with multi‑agent or generative AI frameworks, AI vendor management, or higher education IT environments is an assetSalary The salary range, based on 1.0 FTE, is $87,266.00 - $145,353.00 per annum. The starting salary will be commensurate with education and experience.Department:Information and Communications Technology, Enterprise Architecture Data Management#J-18808-Ljbffr