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Artificial Intelligence Systems Developer, Enterprise Architecture Data Management

University of Saskatchewan -
Saskatoon, SK

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Job details

Permanent | Full-time
$69,035–$107,868 a year

Qualifications

Spring Boot
CI/CD
Authentication
Computer Science
Engineering
Test automation
Git
Enterprise architecture
Java
Analysis skills
Bachelor's
Machine learning
JavaScript
REST
Scripting
Django
APIs
Web services
JSON
Flask
AI
Communication skills
Python
Driving Licence
Data Science

Full job description

Artificial Intelligence Systems Developer, Enterprise Architecture Data Management

Summary:

The artificial intelligence (AI) systems developer is the primary builder for AI enablement initiatives, responsible for translating roadmap commitments into production‑ready integrations, workflows, and tools. This role designs, builds, and deploys institutional AI services that deliver measurable value across administrative, academic, and research environments, with work spanning digital assistant development, enterprise system integration, teaching and learning pilots, and research computing support. Employing a balance of hands‑on development and engineering discipline the developer contributes to functional, reliable systems running in production.

Duties and Responsibilities:

Delivers production-ready AI applications aligned with the institutional AI roadmap and defined delivery timelines
Designs, builds, and maintains reusable AI components such as prompt libraries, agent templates, integration patterns, and API connectors
Develops pilot AI solutions for teaching, learning, research, and administrative processes with defined success criteria and evaluation outputs
Develops and maintains integrations between AI platforms and enterprise systems using RESTful APIs, event-driven services, and secure data exchange patterns
Implements prompt workflows, agent logic, and automation scripts in collaboration with business analysts and technical leads
Develops and supports protected computing environments for sensitive research workloads with attention to privacy, compliance, and secure operation
Supports digital assistant and AI-enabled services through configuration, integration, performance monitoring, and ongoing operational support
Creates and executes test plans covering model behaviour, safety constraints, output accuracy, and integration reliability
Translates business and functional requirements into technical specifications, test criteria, and implementation plans
Provides development effort estimates and assesses the impact of changes to AI workflows and integrations
Contributes technical expertise to AI governance, risk assessment, compliance reviews, and supporting documentation
Documents AI solutions, integrations, and workflows to support knowledge sharing and operational continuity
Collaborates within the unit on infrastructure, system configuration, integrations, and operational support
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.

Qualifications:

A bachelor’s degree in computer science, data science, engineering, or related field
Minimum of four years of experience in applicant development, scripting, or integration within enterprise environments
Experience working with AI and Machine Learning (ML) tools, cloud-based AI services, model orchestration platforms, or intelligent automation systems
Experience with REST APIs, web services, JSON, secure data exchange patterns, and modern development workflows, including Git, CI/CD pipelines, and automated testing
Knowledge of secure coding practices, authentication workflows, and data privacy considerations
Effective communication and interpersonal skills
Ability to work effectively both independently and collaboratively in a team
Strong analytical, troubleshooting, and problem-solving abilities
Ability to learn and apply emerging AI technologies, patterns, and tools
Strong development skills in Python, Java, or JavaScript for AI integration, automation, or backend services is preferred
Proficiency with multi-agent or generative AI frameworks, backend frameworks such as FastAPI, Flask, Django, and Spring Boot, identity or integration and portal systems, or responsible AI practices is an asset.

Department: Information and Communications Technology, Enterprise Architecture Data Management
Status: Permanent
Employment Group: ASPA
Full Time Equivalent (FTE): 1.0
Salary: The salary range, based on 1.0 FTE, is $69,035.00 - 107,868.00 per annum. The starting salary will be commensurate with education and experience.
Salary Family (if applicable): Information Technology
Salary Phase/Band: Phase 2
Posted Date: 5/4/2026
Closing Date: 6/7/2026 at 6:00 pm CST
Number of Openings: 2
Work Location: May be eligible for hybrid work under the terms of USask's Alternative Workspace Guidelines

The successful applicant will be required to provide the following current verification(s) where 'Yes' is indicated below. Further information is available at: https://careers.usask.ca/tips-for-applying.php

Criminal Record Check: Yes
Driver's License and Abstract Check: Not Applicable
Education/Credential Verification: Not Applicable
Vulnerable Sector Check: Not Applicable

The University of Saskatchewan aspires to be what the world needs and embraces equity, diversity and inclusion as foundational to excellence and innovation. We actively seek to create a welcoming environment where all individuals feel empowered to thrive, contribute, and grow. Applications from equity-deserving groups are encouraged as part of our ongoing efforts to reflect the diversity of the communities we serve: EDI Framework for Action.
We continue to grow our partnerships with Indigenous communities across the province, nationally, and internationally and value the unique perspective that Indigenous employees provide to strengthen these relationships. Verification of Indigenous Membership/Citizenship at the University of Saskatchewan is led and determined by the deybwewin | taapwaywin | tapwewin: Indigenous Truth policy and the Standing Committee in accordance with the processes developed to enact the policy. Successful candidates that assert Indigenous membership/citizenship will be asked to complete the verification process of Indigenous membership/citizenship with documentation.
The University of Saskatchewan provides an accessible and inclusive workplace. Should you require support through any stage of the recruitment process, please contact us for assistance.

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artificial intelligence systems developer, enterprise architecture data management jobs in saskatoon, sk

Artificial Intelligence Systems Developer, Enterprise Architecture Data Management

Artificial Intelligence Systems Team Lead, Enterprise Architecture Data Management

Sr. AI Enablement Specialist

Applications Specialist

Sr Solutions Analyst, Data Services

Sr. Technical Analyst

ServiceNow AI Architect in Canada

Staff Developer

Customer Service Representative - Automotive

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