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Added 2 mins ago
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Intermediate Geotechnical Engineer
AtkinsRéalis
Calgary, AB
- Full-time
We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's'infrastructure and energy systems. Together,…
Added 2 mins ago
KC
Senior Embedded Software Designer
Kepler Communications Inc.
Toronto, ON
- Full-time
Our mission is to provide real-time on-orbit connectivity for critical missions, enabling a new era of data-driven intelligence and innovation. With 33 satellites launched to date, Kepler…
Added 2 mins ago
QC
Quality Assurance Engineer
Quarry Consulting
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Create and maintain high-quality test documentation including test plans, detailed test scenarios, test cases, traceability matrices, test evidence, execution reports, and release-quality…
Added 2 mins ago
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Technician, Mining
Glencore
Elkford, BC
- $96,000 to $113,000 CAD / year
- Full-time
Reporting to the Senior Engineer Supervisor, Geotech the Mine technician will participate in a variety of tasks, such as: Drone photogrammetric surveys, field layout and interaction with…
Added 3 mins ago
AI Engineer Sr
Dayforce
Canada
We are looking for an AI Engineer - Agentic Systems Evaluation to help define how we measure, test, and improve the quality of enterprise AI systems.
Added 18 mins ago
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Information Security Engineer (Cloud) - Contract
Numeris
Toronto, ON
- Full-time
Numeris is Canada’s most trusted and authoritative source for broadcast measurement and consumer behaviour data. As well, the industry leading intelligence provider to broadcasters,…
Added 31 mins ago
CO
Municipal Engineer
City of Chestermere
Chestermere, AB
- Full-time
As a Municipal Engineer, you will play a pivotal role within our Community Growth & Infrastructure Engineering team, overseeing the review and approval of projects crucial to the city's…
Added 31 mins ago
B&
Senior Civil Engineer (Calgary)
Burns & McDonnell
Calgary, AB
- Full-time
Quality review production drawings for a variety of projects and project related data as required by the project managers to verify design compliance with project, client, and industry…
Added 31 mins ago
A
Principal ASIC Design Engineer
AMD
Markham, ON
- $155,200 to $232,800 USD / year
- Full-time
The IOHUB team at AMD is seeking a Principal ASIC Design Engineer to provide technical leadership for the development of next-generation IP that enables AMD products across server, data…
Added 31 mins ago
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Software Engineer
ProxyLink
Toronto, ON
- Contract
Design and implement data pipelines, including data extraction, transformation, loading, integration, and validation.
Added 31 mins ago
TG
CAD Designer – Intermediate to Senior (Technical Lead)
Trulite Glass & Aluminum Solutions
Vaughan, ON
- $75,000 to $85,000 CAD / year
- Full-time
Revise drawings based on architect, contractor, and engineer comments, and keep submittal logs current.
Added 31 mins ago
AM
Manufacturing Development Engineer
Arbutus Medical Inc.
Burnaby, BC
- $115,000 to $125,000 CAD / year
- Full-time
This is a broad, high-impact role for an engineer who enjoys getting deeply involved in how products are designed, built, tested and ultimately manufactured. You will work alongside R&D…
Added 33 mins ago
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Data Engineer II
TD
Toronto, ON
- Full-time
Provide a broad range of data engineering functions including data modeling, data quality, data profiling, data acquisition and ingestion, extract transform load (ETL), metadata enrichment…
Added 33 mins ago
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Data Engineer II
TD
Toronto, ON
- Full-time
Provide a broad range of data engineering functions including data modeling, data quality, data profiling, data acquisition and ingestion, extract transform load (ETL), metadata enrichment…
Added 33 mins ago
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Software Engineer III
TD
Toronto, ON
- Full-time
Review technical deliverables throughout detailed design and development phase to ensure quality adherence and identify gaps or redesign requirements as needed
Added 33 mins ago
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Engineering Manager
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
As Engineering Manager, you're accountable for a single squad's delivery, people development, and execution quality. You balance hands-on technical contribution with people leadership. You…
Added 33 mins ago
BP
Manufacturing Development Engineer - Arbutus Medical
BLANKSLATE Partners
Remote, Canada
- Full-time
- Remote
This is a broad, high-impact role for an engineer who enjoys getting deeply involved in how products are designed, built, tested and ultimately manufactured. You will work alongside R&D…
Added 33 mins ago
Scientifique principal des données I
Bell
Toronto, ON
Data Storytelling & Visualization: Transforming complex analytical results into compelling narratives and clear visualizations that drive business decisions.
Added 49 mins ago
MI
Mould Maker
Magna International
Tecumseh, ON
- Full-time
Interact with Process Engineer, Quality Assurance, Manufacturing and Maintenance
Added 49 mins ago
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Principal Software Engineer
Forward Financing
Remote, Canada
- $200,000 to $250,000 CAD / year
- Full-time
- Remote
…the country. A key part of our strategy involves leveraging data from dozens of third-party vendors to power our AI/ML initiatives and our analytical capabilities. We’re seeking a seasoned…
Added 1 hour ago
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ITSM Transition Anayst, Network Junior Engineer Jr
Tata Consultancy Services
Toronto, ON
- Full-time
Collect, analyze, and interpret operational and business data.
Added 1 hour ago
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Software Development Engineer In Test
Actalent
Waterloo, ON
- $40 to $50 CAD / hour
- Contract
This Software Development Engineer in Test (SDET) role focuses on designing, developing, and maintaining automated test scripts and tools in Python to validate new features for advanced…
Added 1 hour ago
OD
Data Engineer / BI Developer – GCP, dbt & Power BI
OSI Digital
Toronto, ON
- Full-time
Job Title: Data Engineer / BI Developer – GCP, dbt & Power BI
Added 1 hour ago
S
AI Workflow & Operations Intern
Semtech
Richmond, BC
- Full-time
…and making them work better. You don’t need to be a software engineer - but you do need to be comfortable with data, curious about AI, and motivated by operational impact. If you’ve ever…
Added 1 hour ago
AS
Engineering Manager
Alliance Search Partners
Mississauga, ON
- Full-time
…Development projects and Building Engineering projects, including data centre MEP (mechanical, electrical, plumbing) services. Reporting directly to the SVP & Managing Director, Global…

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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