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AI Solution Architect

Government of Saskatchewan
Regina, CAN
Senior · 8+ years experience
Onsite
Discovered 2 days ago

Full Job Posting

Qualifications

  • Job Capabilities
  • As a public servant, we are seeking someone who:
  • Is accountable, takes ownership of their work by contributing to organizational outcomes and demonstrates the corporate values in our Commitment to Excellence.
  • Is innovative and seeks out ways for improvement by thinking creatively, identifying new ideas and taking responsible risks.
  • Works collaboratively with others to understand, engage and have meaningful dialogue to achieve work outcomes.
  • Is inclusive, identifies and is aware of personal bias, and readily seeks out and appreciates diverse perspectives.
  • Is adaptable, continuously learns from experience and applies those learnings to new situations.
  • Focuses on achieving public service excellence.
  • Knowledge
  • Knowledge of the AI/ML model lifecycle, MLOps practices, and data engineering at scale (data lakes, ETL/ELT, streaming architectures).
  • Knowledge of generative AI architectures (LLMs, retrieval-augmented generation, fine-tuning, vector databases) and AI governance tooling (model inventory, bias detection, explainability).
  • Knowledge of government compliance frameworks (FOIP, HIPA, NIST AI RMF, ISO/IEC 42001) and emerging federal and provincial AI legislation.
  • Hands-on experience evaluating and architecting solutions across multiple cloud AI/ML platforms, including enterprise security design (network segmentation, encryption, identity and access management).
  • Skilled in writing technical specifications for RFPs and designing objective vendor evaluation frameworks, in compliance with public sector procurement standards.
  • Ability to translate complex technical architecture into clear documentation (diagrams, decision matrices, risk assessments) for non-technical executive audiences.
  • Experience mentoring technical staff and collaborating with ministry IT teams and vendors through solution design, evaluation, and architecture reviews.
  • Builds AI systems that are fair, transparent, explainable, and accountable, respecting Indigenous data sovereignty, Treaty rights, and cultural protocols, and ensuring equitable outcomes across diverse populations.
  • Maintains integrity in vendor relationships, prioritizing government interests and avoiding conflicts of interest.
  • Commitment to Responsible AI
  • Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, AI/Machine Learning, or a related technical field. Equivalent combinations of education and demonstrated technical expertise will be considered.
  • Cloud AI, cloud architecture, container orchestration, and AI governance certifications are assets.
  • We recognize applicants may use AI tools to help prepare their application. If you do, we ask that you tell us how — briefly, in your cover letter. Your application must accurately reflect your own experience and qualifications.
  • Communication (Level C)
  • Critical Thinking (Level C)
  • Digital Skills (Level C)
  • Interacting with Others (Level C)
  • Navigating Ambiguity (Level C)
  • Managing Self (Level C)
  • Health, Safety and Wellness (Level A)
  • Data Literacy (Level C)
  • Influence (Level C)
  • Political and Organizational Awareness (Level C)
  • Learn more about the Government of Saskatchewan’s Capability and Skills Framework here.

Technical Skills

  • Hands-on experience evaluating and architecting solutions across multiple cloud AI/ML platforms, including enterprise security design (network segmentation, encryption, identity and access management).
  • Skilled in writing technical specifications for RFPs and designing objective vendor evaluation frameworks, in compliance with public sector procurement standards.
  • Ability to translate complex technical architecture into clear documentation (diagrams, decision matrices, risk assessments) for non-technical executive audiences.
  • Experience mentoring technical staff and collaborating with ministry IT teams and vendors through solution design, evaluation, and architecture reviews.
  • Builds AI systems that are fair, transparent, explainable, and accountable, respecting Indigenous data sovereignty, Treaty rights, and cultural protocols, and ensuring equitable outcomes across diverse populations.
  • Maintains integrity in vendor relationships, prioritizing government interests and avoiding conflicts of interest.
  • Commitment to Responsible AI
  • Education & Experience:
  • Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, AI/Machine Learning, or a related technical field. Equivalent combinations of education and demonstrated technical expertise will be considered.
  • Cloud AI, cloud architecture, container orchestration, and AI governance certifications are assets.
  • Typically 8+ years of progressive experience in AI/ML engineering, data science, or cloud architecture, with at least 3+ years designing enterprise-scale AI platforms or leading technical AI work. Public-sector experience, or experience in regulated industries such as healthcare or financial services, is strongly preferred.
  • We recognize applicants may use AI tools to help prepare their application. If you do, we ask that you tell us how — briefly, in your cover letter. Your application must accurately reflect your own experience and qualifications.
  • Job Skills:
  • Communication (Level C)
  • Critical Thinking (Level C)
  • Digital Skills (Level C)
  • Interacting with Others (Level C)
  • Navigating Ambiguity (Level C)
  • Managing Self (Level C)
  • Health, Safety and Wellness (Level A)
  • Data Literacy (Level C)
  • Influence (Level C)
  • Political and Organizational Awareness (Level C)
  • Learn more about the Government of Saskatchewan’s Capability and Skills Framework here.

What We Offer:

  • Dynamic and challenging work
  • Competitive salary
  • Comprehensive benefits package including pension
  • Vacation, scheduled days off, and other types of leave
  • Inclusive work environments
  • Career growth, development, and advancement opportunities
  • Flexible work arrangements
  • In addition to the base salary, there is an 8% salary supplement for this position.

Responsibilities

  • Enterprise AI Platform & Cloud Architecture
  • Lead evaluation and design of the enterprise AI/ML platform and cloud architecture, including compute provisioning, data integration, MLOps pipelines, API management, and high availability/disaster recovery, ensuring compliance with Canadian data residency requirements.
  • Define and enforce AI security architecture (network segmentation, encryption, identity and access management, and defence against AI specific threats) and establish cloud cost governance practices.
  • MLOps, Data Engineering & Production Standards
  • Define MLOps standards and CI/CD pipelines for AI models, including versioning, model registry, automated retraining, and drift monitoring.
  • Establish data engineering standards for AI workloads and define production readiness criteria (performance, security, bias, explainability, rollback, monitoring) required before any model goes live in a ministry environment.
  • AI Governance Platform & Responsible AI Tooling
  • Lead evaluation and integration of an enterprise AI governance platform (model inventory, bias detection, explainability, Algorithmic Impact Assessments) with the AI/ML platform and existing IT infrastructure.
  • Translate the AI Governance Framework into automated platform guardrails, sensitivity classification, audit logging, and reporting.
  • Copilot M365 Technical Architecture
  • Validate the existing technical architecture for Microsoft 365 Copilot (or successor enterprise generative AI/chat tools) across ministries, including tenant configuration, DLP rules, sensitivity labeling, information barriers, and SharePoint permissions, and lead remediation where gaps are identified.
  • Conduct technical testing of Copilot security configurations, partnering with security and privacy specialists on DLP effectiveness assessments to identify and close data leakage vectors specific to generative AI interactions.
  • Assess and refine Copilot usage analytics and adoption dashboards, ensuring they accurately track usage patterns, productivity metrics, and security incidents to inform ongoing rollout decisions.
  • Technical Leadership & Innovation
  • Conduct architecture reviews for ministry AI use cases, assessing feasibility, integration complexity, security, and alignment with the enterprise platform.
  • Establish coding, architecture, and deployment standards for AI work, mentor technical staff, and stay current on emerging AI technologies and industry working groups.

Preferred Qualifications

  • Typically 8+ years of progressive experience in AI/ML engineering, data science, or cloud architecture, with at least 3+ years designing enterprise-scale AI platforms or leading technical AI work. Public-sector experience, or experience in regulated industries such as healthcare or financial services, is strongly preferred.

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