Senior Applied Intelligence Platform Engineer to implement AI governance controls using MLOps, MLflow, Databricks, and NIST AI RMF
Our public sector client is seeking a
Senior Applied Intelligence Platform Engineer (7+ years) to implement AI governance controls using MLOps, MLflow, Databricks, and NIST AI RMFThis hands‑on engineering role supports enterprise AI initiatives across Microsoft Foundry, Databricks, Copilot Studio, and mixed-model AI environments. The position focuses on operationalizing AI governance requirements through technical controls, reusable patterns, automated guardrails, and governance evidence across the AI lifecycle. The successful candidate will collaborate closely with AI Governance, Enterprise Architecture, Cybersecurity, Privacy, and AI platform teams to deploy and support enterprise‑scale AI and machine learning solutions. The role offers exposure to responsible AI implementation, enterprise AI delivery models, and production‑scale MLOps and LLMOps practices.Contract Term: ASAP to December 24, 2027In office requirement: 3 days per week downtown TorontoMust Haves7+ years in
AI engineering, machine learning, platform, software, or cloud engineeringHands‑on
MLOps
and
LLMOps
implementation for production AI and machine learning solutionsEnterprise‑scale
model lifecycle management, model operationalization, and
AI governance
control implementationDatabricks, MLflow, CI/CD, Infrastructure as Code, GitHub Actions, Terraform, Spacelift, or JenkinsBachelor's degree in a related technical field, or equivalent practical experienceNice to HaveFamiliarity with NIST AI Risk Management Framework (Govern, Map, Measure, Manage)Experience implementing RAG and agent‑based solutionsExperience with Microsoft Foundry, Copilot Studio, and mixed‑model AI environmentsExperience in financial services, pension, asset management,



or another regulated environmentExperience collaborating with Enterprise Architecture, Privacy, Security, and Governance teamsResponsibilitiesTranslate AI governance requirements into technical controls and implementation patternsImplement automated guardrails, policy enforcement, and governance evidence across AI platformsBuild and maintain pipelines for development, evaluation, deployment, monitoring, and model lifecycle managementImplement lineage, experiment tracking, and reproducibility using MLflowSupport deployment, testing, troubleshooting, debugging, and recovery processes for AI servicesCreate technical documentation, operational runbooks, and support proceduresCollaborate with AI Governance, Enterprise Architecture, Privacy, Security, and AI platform teamsOur public sector client is seeking a
Senior Applied Intelligence Platform Engineer (7+ years) to implement AI governance controls using MLOps, MLflow, Databricks, and NIST AI RMFThis hands‑on engineering role supports enterprise AI initiatives across Microsoft Foundry, Databricks, Copilot Studio, and mixed‑model AI environments. The position focuses on operationalizing AI governance requirements through technical controls, reusable patterns, automated guardrails, and governance evidence across the AI lifecycle. The successful candidate will collaborate closely with AI Governance, Enterprise Architecture, Cybersecurity, Privacy, and AI platform teams to deploy and support enterprise‑scale AI and machine learning solutions. The role offers exposure to responsible AI implementation,



enterprise AI delivery models, and production‑scale MLOps and LLMOps practices.Contract Term: ASAP to December 24, 2027In office requirement: 3 days per week downtown TorontoMust Haves7+ years in
AI engineering, machine learning, platform, software, or cloud engineeringHands‑on
MLOps
and
LLMOps
implementation for production AI and machine learning solutionsEnterprise‑scale
model lifecycle management, model operationalization, and
AI governance
control implementationDatabricks, MLflow, CI/CD, Infrastructure as Code, GitHub Actions, Terraform, Spacelift, or JenkinsBachelor's degree in a related technical field, or equivalent practical experienceNice to HaveFamiliarity with NIST AI Risk Management Framework (Govern, Map, Measure, Manage)Experience implementing RAG and agent‑based solutionsExperience with Microsoft Foundry, Copilot Studio, and mixed‑model AI environmentsExperience in financial services, pension, asset management, or another regulated environmentExperience collaborating with Enterprise Architecture, Privacy, Security, and Governance teamsResponsibilitiesTranslate AI governance requirements into technical controls and implementation patternsImplement automated guardrails, policy enforcement, and governance evidence across AI platformsBuild and maintain pipelines for development, evaluation, deployment, monitoring, and model lifecycle managementImplement lineage, experiment tracking, and reproducibility using MLflowSupport deployment, testing, troubleshooting, debugging, and recovery processes for AI servicesCreate technical documentation, operational runbooks, and support proceduresCollaborate with AI Governance, Enterprise Architecture, Privacy, Security, and AI platform teamsDisclaimer:AI may be used in evaluating candidates.This posting is for an existing vacancy.#J-18808-Ljbffr

📌 Senior Applied Intelligence Platform Engineer To Implement Ai Governance Controls Using Mlops, Mlflo (Winnipeg)
🏢 S.I. Systems
📍 Winnipeg