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Added 3 mins ago
M
Senior Cloud Engineer -Hybrid
Manulife
Toronto, ON · Waterloo, ON
- Full-time
Are you passionate about building scalable, secure, and modern cloud solutions? We're looking for a Senior Cloud Engineer who can combine deep technical expertise with business insight to…
Added 3 mins ago
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Database Administrator
LCBO
Toronto, ON
- Full-time
…you will be responsible for the administration, maintenance, security, performance, and support of LCBO’s enterprise database platforms across production and non-production…
Added 3 mins ago
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Architecte de données / Data Architect
RTX
Longueuil, QC
- Full-time
Added 3 mins ago
Sr Software Dev Engineer III, RDS for Oracle
Amazon
Vancouver, BC
Amazon Web Services is hiring a Software Development Engineer III for the RDS for Oracle team. We are looking for an experienced engineer to design and build the next generation of managed…
Added 32 mins ago
CO
Traffic Engineer
City of Calgary
Calgary, AB
- $115,464 to $144,330 CAD / year
- Full-time
…Traffic Services Division in Mobility Operations. As a Traffic Engineer, you will support the safe and efficient movement of all transportation network users, including pedestrians,…
Added 33 mins ago
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Azure Cloud Security Engineer
ELITS
Remote, Canada
- Full-time
- Remote
ELITS Canada is looking for an experienced Azure Cloud Security Engineer for a remote consulting assignment based in Canada. Candidates must be authorized to work in Canada and able to…
Added 48 mins ago
NF
Data Engineer
Nature Fresh Farms
Leamington, ON
- $75,000 to $100,000 CAD / year
- Full-time
We are currently looking to fill a full-time, permanent position for a Data Engineer in our information Technology Department at our Leamington office.
Added 1 hour ago
LC
Senior Analytics Engineer
Lightspeed Commerce, Inc.
Remote, Canada
- Full-time
- Remote
Lightspeed's Data Office is hiring a Senior Analytics Engineer to design and own the data models that drive decisions across financial performance, GTM activities, and product insights.…
Added 1 hour ago
LC
Senior Analytics Engineer
Lightspeed Commerce, Inc.
Remote, Canada
- Full-time
- Remote
Lightspeed's Data Office is hiring a Senior Analytics Engineer to design and own the data models that drive decisions across financial performance, GTM activities, and product insights.…
Added 1 hour ago
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Co-op Student (winter 2027)
AtkinsRéalis
Ottawa, ON
- Full-time
…committed to leading our clients across our various end markets to engineer a better future for our planet and its people.Find out…
Added 1 hour ago
LM
Systems Engineer Stf- Integrated Communication and Information System
Lockheed Martin
Ottawa, ON
- Full-time
…responsible Systems Engineering member for Communication and Information Systems (CIS) subsystems and will participate in engineering activities including but not limited…
Added 1 hour ago
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systems integration engineer - software
iSteer
Toronto, ON
- Full-time
Research technical information to design, develop and test computer-based systems
Added 1 hour ago
SJ
Software Engineer
So Jobs
Toronto, ON
- $202,000 to $231,000 USD / year
- Full-time
Enabling customers to view and edit their Personal Information directly in the Mobile App
Added 1 hour ago
A
Co-op Student (winter 2027)
AtkinsRéalis
Ottawa, ON
- Full-time
…committed to leading our clients across our various end markets to engineer a better future for our planet and its people.Find out…
Added 1 hour ago
M
Software Engineer - Front End
Microsoft
Vancouver, BC
- Full-time
The Observability Experiences team is hiring a Software Engineer 2 to build the next generation of tools and technologies for monitoring services and infrastructure in Azure and Microsoft…
Added 2 hours ago
AL
Radio Frequency Planning Engineer
Artech L.L.C.
Mississauga, ON
- Contract
Create, review, validate, and revise Final Cell Designs, including antenna, radio, baseband, sector, azimuth, height, tilt, MIMO, and connectivity information.
Added 3 hours ago
CC
Refrigeration Mechanic
Cameco Corporation
SK · Saskatchewan, Canada
- Full-time
currently hold or have the ability to obtain a valid Saskatchewan refrigeration engineer certification;
Added 3 hours ago
F
Director, Technical Support - Cybersecurity
Fortra
Canada
- Full-time
…resolution time, SLA attainment, backlog aging, case deflection, engineer productivity, and customer…
Added 3 hours ago
G
Senior Software Developer, Mobile (iOS), Platforms and Devices
Google
Waterloo, ON
- Full-time
…change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search.…
Added 5 hours ago
A
Database Platform Engineer
AppDirect
Montreal, QC
- Full-time
…operates against four quality pillars: resiliency and capacity, security, operational excellence, and performance and scalability. We enable self-serve access and automation, lead…
Added 7 hours ago
AS
Project Engineer (France)
AdaptiveMobile Security
Engineer, BC
- Full-time
…Enea Qosmos products to customer environments. As a software engineer on this team, you will develop custom applications or modules, implement product-specific modifications, and provide…
Added 7 hours ago
Q
ASICS Design Verification Engineer - Vancouver OR Markham
Qualcomm
Markham, ON · Vancouver, BC
- Full-time
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential…
Added 8 hours ago
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Coordonnateur de projet
VINCI
Vancouver, BC
- Full-time
Geotechnical knowledge, junior engineer level
Added 8 hours ago
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Principal Product Manager - Identity Threat Detection and Response
Elastic
Canada
- Full-time
…structured and unstructured data - securing and protecting private information more effectively - Elastic’s complete, cloud-based solutions for search, security, and observability help…
Added 9 hours ago
M
Security Engineer II - Identity and Access Management
Marqeta
Remote, Canada
- Full-time
- Remote
We’re seeking an experienced Security Engineer II with a strong passion for Identity and Access Management (IAM) and expertise in cloud-native environments, particularly AWS. You'll build,…

Dawn InfoTek

Senior Applied Intelligence Platform Engineer

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 4, 2026
Posting language: English
Posted: Oct 5, 2026

Original job description

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.

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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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