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Added 6 mins ago
MC
Senior Project Manager
MENARD Canada Inc.
Vancouver, BC
- Full-time
The Senior Project Manager acts as a technical and operational leader, overseeing multiple concurrent projects and providing mentorship to project managers, coordinators and site personnel.…
Added 18 mins ago
IG
Transformation Program Manager
Insight Global
Toronto, ON
- $70 to $90 CAD / hour
- Contract
Our banking client is seeking a senior Transformation Program Manager to lead large-scale transformation initiatives across Client Onboarding and Client Servicing teams within Treasury &…
Added 18 mins ago
RB
IT Operations Team Lead
Robert B. Somerville Co. Limited
King City, ON
- Full-time
Assign and balance operational work based on priority, risk, complexity, capacity, and business impact; monitor progress and remove delivery obstacles.
Added 37 mins ago
Senior Manager, VOC Transformation Delivery
Scotiabank
Toronto, ON
The Senior Manager, VoC Transformation Delivery is responsible for leading strategic initiatives that enhance how the Bank captures, understands, and acts on client feedback. The role acts…
Added 37 mins ago
T
Manager, Engineering – Easy Apply & Digital Onboarding Platform
TD
Toronto, ON
- Full-time
The Easy Apply Engineering team is seeking a Manager, Engineering to lead the delivery, modernization, and operational excellence of TD's enterprise digital onboarding platform. Easy Apply…
Added 37 mins ago
AG
VP of Operations
Apex Group Ltd
Winnipeg, MB
- Full-time
The VP of Operations will lead the day-to-day delivery of back-office and Fundserv-related services for fund company clients. The successful candidate will be accountable for operational…
Added 48 mins ago
S
Senior Manager, VOC Transformation Delivery
Scotiabank
Toronto, ON
- Full-time
The Senior Manager, VoC Transformation Delivery is responsible for leading strategic initiatives that enhance how the Bank captures, understands, and acts on client feedback. The role acts…
Added 51 mins ago
T
Manager, IT Operation Security Remediation
TransLink
Vancouver, BC
- $109,920 to $164,880 CAD / year
- Full-time
Provides technical leadership on full cycle service delivery including infrastructure and operational management and vulnerability and remediation customization and configuration, and…
Added 51 mins ago
MN
Senior Procurement Specialist
March Networks
Ottawa, ON
- Full-time
This role provides advanced strategic procurement for March Networks and Vivotek hardware (SSS LOB). The Senior Procurement Specialist builds and manages a world‑class supply base, leads…
Added 53 mins ago
M
Senior Manager, Assurance and Accounting
MNP
Montreal, QC · Laval, QC
- Full-time
Network in the local business community, consider business development opportunities and contribute to the preparation and delivery of competitive proposals to meet client needs
Added 53 mins ago
Senior Manager, Azure Cloud Engineering
BMO
Toronto, ON · BMOPLACE
…cloud engineering, data engineering teams, and security and risk partners to evolve BMO’s Azure cloud services. You will help define and implement and delivery of and operationalize Azure…
Added 53 mins ago
ED
Brand Program Manager (12-month contract) - EN 461
Export Development Canada | Exportation et développement Canada
Remote, Canada
- Contract
- Remote
As part of the Marketing group, the Brand Marketing and Strategy team is seeking a Brand Manager. The Brand Manager will act as a program owner and lead the operational performance and…
Added 53 mins ago
MN
Senior Procurement Specialist
March Networks
Remote, Canada
- Full-time
- Remote
This role provides advanced strategic procurement for March Networks and Vivotek hardware (SSS LOB). The Senior Procurement Specialist builds and manages a world‑class supply base, leads…
Added 53 mins ago
TM
Manager - Business Technology/Directeur, Système de gestion
The Maples Group (Financial Services)
Montreal, QC
- Full-time
The Manager – Business Technology reports to the Senior Manager – Business Technology and is responsible for a team of business systems analysts that define the business systems strategy…
Added 53 mins ago
General Manager
Aecon
Calgary, AB
Reporting to the Vice President, ATW, the General Manager is responsible for the overall safety, leadership, operational performance, financial results, and strategic direction of the…
Added 1 hour ago
ED
Brand Program Manager (12-month contract) - EN 461
Export Development Canada | Exportation et développement Canada
Ottawa, ON
- $84,698 to $112,931 CAD / year
- Contract
As part of the Marketing group, the Brand Marketing and Strategy team is seeking a Brand Manager. The Brand Manager will act as a program owner and lead the operational performance and…
Added 1 hour ago
IP
Manager, Corporate and Business Planning
Indigenous Perspectives Society
Vancouver, BC
- Full-time
In this role, you will provide strategic advice and planning support to the Corporate Planning Steering Committee and senior leadership, consolidate planning information to support…
Added 1 hour ago
L
HSE Manager (FIFO)
Lycopodium
Prince George, BC
- Full-time
…delivers high quality professional engineering and project delivery services globally, across the resources, infrastructure and industrial processes sectors. By joining our global team and…
Added 1 hour ago
FR
Project Manager
Foresight Recruitment Group
Calgary, AB · Greater Calgary Metropolitan Area
- Full-time
Project Manager | Project Coordinator (Senior) | Facilities Project Manager | Construction Project Manager | Owner's Representative
Added 1 hour ago
Scotia Jarislowsky Fraser Portfolio Administrator
Scotiabank
Ottawa, ON
Additionally, the Portfolio Administrator will support and deliver upon the market and regional goals of operational excellence through ongoing review and enhancement of processes,…
Added 2 hours ago
K
Security Supervisor - Retail - Full time
Kandor
Hamilton, ON
- Full-time
Operational Efficiency and Management (60% Time Spent)
Added 2 hours ago
L
HSE Manager (FIFO)
Lycopodium
Prince George, BC
- Temporary
…delivers high quality professional engineering and project delivery services globally, across the resources, infrastructure and industrial processes sectors. By joining our global team and…
Added 3 hours ago
Risk Manager (Construction)
PACT
ON · Mississauga, Ontario
The Risk Manager plays a critical role in supporting the successful delivery of construction projects by identifying, assessing, and managing project risks throughout the PACT project…
Added 3 hours ago
PC
Senior Go to Market Analyst, Ecosystem Integration
Payments Canada
ON · Ontario, Canada
- $88,500 to $147,500 CAD / year
- Full-time
Reporting directly to the Go to Market Manager, Ecosystem Integration, the incumbent is responsible for supporting the operational execution, day-to-day governance tracking, and pricing and…
Added 3 hours ago
E
Senior Manager, Advisory
EllisDon
Mississauga, ON
- Full-time
You as a Senior Manager, Advisory will be responsible for:

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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