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Added 8 mins ago
PG
Senior Dotnet Developer
Pacer Group
Toronto, ON
- $50 to $55 CAD / hour
- Contract
8 to 10 years of development experience with 2+ years of hands-on experience in Azure
Added 8 mins ago
GS
Artificial Intelligence Engineer
Gala Solutions
Montreal, QC
- Contract
Microsoft Azure, hands-on across at least three of AKS, Entra ID (app registrations, service principals, Managed Identity / Workload Identity), Azure OpenAI or Azure AI Foundry, Key Vault,…
Added 8 mins ago
RB
IT Operations Team Lead
Robert B. Somerville Co. Limited
King City, ON
- Full-time
Provide hands-on administration and senior-level support for Microsoft 365, Microsoft Azure, Microsoft Entra ID, Intune/Endpoint Manager, SharePoint Online, Power Platform, and related…
Added 42 mins ago
Senior Manager, Azure Cloud Engineering
BMO
Toronto, ON · BMOPLACE
As a Senior Manager Azure Platform Engineering, you will play a hands‑on engineering role within BMO’s Azure cloud ecosystem. You will be responsible for designing, building, and operating…
Added 1 hour ago
Software Engineer I
RAM Engineering Ltd.
Vancouver, BC
Working under the guidance of a Senior Engineer, Lead, or IT Manager, you will contribute to both internal RAM solutions and client-facing projects. You’ll work primarily within a modern…
Added 1 hour ago
A
Senior Manager, Data Governance Implementation
Aviso
Toronto, ON
- $115,000 to $135,000 CAD / year
- Full-time
We're looking to fill an opening for a Senior Manager, Data Governance Implementation, to join our Technology Partners team.
Added 1 hour ago
AW
Senior Manager, Data Governance Implementation
Aviso Wealth
Remote, Canada
- $115,000 to $135,000 CAD / year
- Full-time
- Remote
We’re looking to fill an opening for a Senior Manager, Data Governance Implementation, to join our Technology Partners team.
Added 2 hours ago
M
IAM Sr. Developer, IGA
McKesson
Mississauga, ON
- Full-time
McKesson is seeking an experienced Senior Identity Governance & Administration (IGA) Developer to design, develop, and support enterprise identity security solutions in a complex, highly…
Added 2 hours ago
TI
Senior .Net Developer
Teckhorizon Inc
Toronto, ON
- Contract
Our client is seeking a Senior Software Developer to support the development, enhancement, integration, and modernization of enterprise applications supporting Ontario's justice-sector…
Added 2 hours ago
P
Software Developer
ProxyLink
Toronto, ON
- Contract
ProxyLink is hiring an experienced Software Developer to support the development, enhancement, maintenance, and troubleshooting of enterprise web applications and learning management…
Added 3 hours ago
O
Sr. Engineer System administrator
OnX
Toronto, ON
- Full-time
Support cloud-based infrastructure across AWS and Microsoft Azure environments.
Added 3 hours ago
T
Senior Mongo DBA
TD
Toronto, ON · Mississauga, ON
- Full-time
The Senior Mongo Database Administrator is responsible for operational support, maintenance, and optimization of enterprise database platforms including Microsoft SQL Server and MongoDB.…
Added 3 hours ago
DI
Senior IT Security Engineer
Draganfly Inc.
Burnaby, BC
- $120,000 to $140,000 CAD / year
- Full-time
The Senior IT Security Engineer builds, operates, and improves security across Draganfly’s cloud-first IT environment. This hands-on role combines Microsoft 365 and cloud security…
Added 3 hours ago
B
Senior Software Engineer - Trading Technology
BettingJobs
Toronto, ON
- Full-time
BettingJobs is working with a fast-growing sports betting technology business to recruit a Senior Software Engineer for its Trading Technology team. You'll build the backend engines behind…
Added 3 hours ago
O
Senior Project Manager
OnX
Toronto, ON
- Full-time
Demonstrated experience managing cloud migration and modernization projects across AWS, Microsoft Azure, and/or hybrid and multi-cloud environments; AWS or Azure certifications (e.g., AWS…
Added 4 hours ago
BC
Senior Manager, Data & AI
BDO Canada
Vancouver, BC
- Full-time
Work with technologies and platforms such as Microsoft Fabric, Azure, Databricks, Snowflake, dbt, Power BI, Microsoft Purview, Azure Data Factory, Azure Synapse, Azure Machine Learning,…
Added 4 hours ago
JH
Senior Architect - Cybersecurity
John Hancock
Toronto, ON
- Full-time
The Senior Cybersecurity Architect is responsible for supporting projects that apply new and existing technologies and solutions to solve business needs in the cyber security space, for the…
Added 4 hours ago
N
Senior Cloud Systems Engineer (CI/CD & Data Platform)
Numeris
Toronto, ON
- Full-time
Numeris is seeking a Senior Cloud Systems Engineer to lead the design, automation, and operation of enterprise cloud platforms across AWS and Azure. This role combines deep expertise in…
Added 4 hours ago
DG
Senior Software Developer I
Dahrouge Geological Consulting Ltd.
AB · Edmonton, AB
- Full-time
8+ years of professional software development experience, including 2+ years as a senior or lead developer owning production systems.
Added 4 hours ago
M
RQ11712 - Software Developer - Senior
Maarut
Toronto, ON
- Contract
Experience with Windows Server, Microsoft SQL environment
Added 4 hours ago
LT
Senior Dotnet Developer
Lorven Technologies Inc.
Mississauga, ON
- Contract
Microsoft Azure – solid working knowledge of Azure services with hands-on experience across one or more of the following: Azure Container Apps (ACA), App Services (Web Apps), Azure Service…
Added 4 hours ago
AS
AWS Cloud Developer
AgileGrid Solutions
Canada
- Full-time
A career as an AWS Cloud Senior Developer on the Corporate Services IT Delivery team at National Bank offers an exciting opportunity to act as a cloud development expert. This role requires…
Added 4 hours ago
Principal Technology Architect
Infosys
Canada
Cloud architecture certification, such as Microsoft Azure Solutions Architect Expert, AWS Solutions Architect Professional, or equivalent
Added 5 hours ago
AI
Backend Java Developer
Apptoza Inc.
ON · Ontario, Canada
- Temporary
We are seeking 8-12 years experienced highly skilled Senior Backend Java Developer with strong expertise in Java, Spring Boot, Microservices, API Integration, Azure Cloud, and…
Added 5 hours ago
H
AI Solutions Architect
Hays
Toronto, ON
- Contract
…outcomes. The role primarily designs AI and agentic solutions on Microsoft Azure, with exposure to Google Cloud Platform where…

Closed listing

Dawn InfoTek

Senior Applied Intelligence Platform Engineer

Toronto, ON, Canada

Contract

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Job type: Contract
Closing date: Nov 4, 2026
Posting language: English
Posted: Oct 5, 2026

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Original job description

Archived listing. The details below describe a past opening.

Dawn InfoTek Inc. is a professional IT consulting firm that partners with major financial institutions, investment firms, and government organizations. We are committed to delivering cutting-edge IT consulting services and providing highly qualified talent for a wide range of technology positions.

We are currently seeking a Senior Applied Intelligence Platform Engineer to join our dynamic team and work with one of client.

Title: Senior Applied Intelligence Platform Engineer

Contract Duration: ASAP to December 24, 2027

Overview

Applied Intelligence is scaling enterprise AI across Microsoft Foundry, Databricks, Copilot Studio, and a mixed model estate spanning Anthropic, Azure OpenAI, other frontier models, and open source models.

This hands-on engineering role partners with AI Governance and Risk to translate NIST AI RMF and enterprise requirements into practical platform controls, reusable patterns, automated guardrails, and governance evidence across the AI lifecycle.

Who you'll work with:

You'll join the Applied Intelligence Platforms team and work closely with Platform Engineering, Data Engineering, Enterprise Architecture, Privacy, Enterprise Security, AI Governance and Risk, and the AI Centre of Excellence. You will report to the Senior Manager, Applied Intelligence Platforms.

What you'll do:

Apply safe deployment practices including automated builds, artifact versioning, deployment gates, and rollback strategies such as blue/green, canary, and shadow, avoiding manual production changes.
Develop operational runbooks, support procedures, incident response guidance, and recovery processes.

Responsible AI, Privacy and Governance Enablement

Partner with AI Governance, Privacy, Information Security, and the AI Centre of Excellence to translate enterprise requirements into practical implementation patterns.
Implement technical guardrails supporting responsible AI outcomes, including content safety, grounding, human-in-the-loop checkpoints, and auditability.
Apply secure AI implementation patterns aligned with OWASP guidance for LLM and agentic systems, mitigating risks such as prompt injection, insecure tool usage, model exfiltration, and data leakage.
Implement authentication and authorization flows using OAuth2 and OIDC so AI agents and services inherit appropriate user context and role-based access.
Implement privacy-supporting controls in AI solutions, such as data minimization, access scoping, retention alignment, and handling of sensitive data in prompts, logs, and retrieval sources.

AI delivery model

Define and operationalize the AI delivery model, including reusable implementation patterns, reference solutions, and engineering standards for RAG, agentic, and machine learning solutions.
Select and integrate models across the estate based on suitability, performance, and cost.
Partner with delivery teams to accelerate build and support production readiness.

MLOps, LLMOps and evaluation

Build and maintain pipelines covering development, evaluation, deployment, monitoring, and model lifecycle management.
Establish evaluation frameworks with measurable quality criteria, behavioural regression testing, and continuous evaluation of probabilistic systems.
Implement lineage, experiment tracking, and reproducibility using tools such as MLflow.

AI governance technical implementation

Translate NIST AI RMF and enterprise AI governance requirements into technical controls across Govern, Map, Measure, and Manage.
Implement reusable guardrails through platform configuration, CI/CD/IaC, evaluation gates, access controls, policy enforcement, and OWASP-aligned secure AI patterns.
Establish traceable governance evidence for models, agents, deployments, evaluations, approvals, and human-in-the-loop controls.
Partner with AI Governance and Risk to validate control effectiveness and escalate policy, privacy, security, and risk-acceptance decisions to accountable teams.

Operations, reliability and cost

Own the reliability, observability, and production support of enterprise AI services.
Own cost tracking, attribution, and optimization, treating cost as a measurable engineering metric.
Apply safe deployment practices and maintain runbooks, incident response, and recovery processes.
Enablement
Onboard teams onto approved AI platforms and patterns, and provide technical mentorship, documentation, and reusable assets.

Decision making

Independent analysis approach based on business context

What you'll need:

Qualifications:

Has shipped and supported production systems, and designs for failure.
Has debugged performance or latency issues in distributed systems.
Writes modular, testable code and favours automation over manual intervention.
Defines measurable success criteria before building, and can test systems where outputs vary.
Treats cost as a measurable engineering metric.
Bachelor's degree in a related technical field, or equivalent practical experience.

Knowledge:

Generative AI, LLMs, RAG, agentic systems, and enterprise AI application patterns.
Microsoft Foundry, Databricks/Unity Catalog/MLflow, Copilot Studio, AI Gateway/model access patterns, and mixed-model tradeoffs.
MLOps/LLMOps, CI/CD, Infrastructure as Code, evaluation, observability, and cloud-native engineering.
NIST AI Risk Management Framework (Govern, Map, Measure, Manage) and translation into engineering controls.
Responsible AI, human-in-the-loop design, auditability, privacy, IP, security, bias, and model misuse risks.
Cloud fundamentals, distributed systems and API design, observability, and data literacy.
Cloud cost management, consumption tracking, and cost attribution.
Proficiency in Python.

Experience:

7+ years in software, AI, machine learning, platform, or cloud engineering.
Hands-on experience building and operating production AI or machine learning solutions.
Experience implementing RAG and agent-based solutions.
Experience implementing MLOps and LLMOps capabilities end to end.
Experience implementing automated AI governance controls or evidence, ideally mapped to NIST AI RMF or another recognized framework.
Experience owning cost tracking and optimization of cloud or AI workloads.
Experience in a regulated environment is an asset.
Experience collaborating with Enterprise Architecture, Platform Engineering, Privacy, Security, and Governance teams in a large organization.
Experience in financial services, pension, asset management, or another regulated environment is an asset.

About employer

More about this job

Responsibilities

Build and operate production AI platforms and solutions, including reusable patterns, model evaluation and lifecycle pipelines, secure deployment controls, and reliable, observable services. Translate AI governance, privacy, and security requirements into automated guardrails and traceable evidence, while managing costs and enabling delivery teams.

Requirements

Requires a bachelor's degree in a related technical field or equivalent practical experience, at least seven years of relevant engineering experience, and hands-on experience building and operating production AI or machine learning solutions. Candidates should be proficient in Python and experienced with RAG, agent-based systems, MLOps/LLMOps, cloud engineering, AI governance controls, and cost optimization.

Skills

Python
Generative AI
Large Language Models
Retrieval-Augmented Generation
Agentic Systems
MLOps
LLMOps
Microsoft Foundry
Databricks
MLflow
CI/CD
Infrastructure as Code
NIST AI Risk Management Framework
OAuth2
OpenID Connect
Cloud Cost Management

Visa sponsorship

Not detected in the job text

Keywords

Applied Intelligence
Generative AI
Large Language Models
Retrieval-Augmented Generation
Agentic Systems
Machine Learning
Microsoft Foundry
Databricks
Unity Catalog
Copilot Studio
Anthropic
Azure OpenAI
Python
MLOps
LLMOps
MLflow
CI/CD
Infrastructure as Code
NIST AI Risk Management Framework
Responsible AI
Human-in-the-Loop
OAuth2
OpenID Connect
OWASP
Model Evaluation
Observability
Cloud Cost Management
Distributed Systems
AI Governance
Financial Services

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