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Added 12 mins ago
S
System Architect
SLMCON
Canada
- Full-time
The System Architect is responsible for defining the end-to-end architecture of warehouse management solutions and their supporting integrations, data flows, custom components, and…
Added 12 mins ago
P
Electronic Hardware Engineer
Percucision
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
You will also work with embedded firmware when needed for board bring-up, sensor configuration, data acquisition, and troubleshooting, but the primary emphasis of this role is hardware and…
Added 12 mins ago
EC
Risk Analyst
Experis Canada
Toronto, ON
- Contract
Test both control design adequacy and operating effectiveness.
Added 14 mins ago
C
Senior Information Security Specialist
CIBC
Toronto, ON
- Full-time
…action plans and/or risk as outlined in the Control & Deficiency Management Policy and Deficiency Management User Guide. Build Security In the Lifecycle of Projects and complete security…
Added 14 mins ago
C
Senior Director, Group Product Owner - Enterprise Governance, Risk & Compliance (eGRC)
CIBC
Toronto, ON
- Full-time
You champion trusted data and high-performing partnerships. You have established data ownership, standards, quality, lineage, and remediation practices, and can challenge and inspire…
Added 14 mins ago
C
Senior Specialist, Tax Reporting Operations & Regulatory Initiatives
CIBC
Toronto, ON
- Full-time
…regulatory requirements with respect to deadlines and required data and forms. You will also be responsible for ensuring that LOBs procedures and processes meet the regulatory requirements…
Added 14 mins ago
SD
Senior BI Developer
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ON · Downtown Toronto (Central Bay Street), Ontario
- Contract
the design and development of data warehousing, Business Intelligence,
Added 14 mins ago
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Lab Assistant
Dynacare
Port Hope, ON
- Part-time
Accurately enter data, patient, and test information for Ministry of Health requisitions
Added 14 mins ago
GM
Principal Software Engineering - Test System Modernization
General Motors
Markham, ON
- Full-time
Define the architecture and roadmap for standardized test execution, configuration and variation management, traceability, quality gates, regression selection, and results reporting.
Added 29 mins ago
Lead, Contract Administrator
L3Harris Technologies
Enfield, NS · Mirabel, QC
Upon receiving requests to bid, review proposed terms and conditions to identify contractual and legal implications and provide appropriate comments to management.
Added 29 mins ago
SS
Technical Project Manager
Sopra Steria
Toronto, ON
- Full-time
…cloud and infrastructure, SAP and enterprise applications, data and AI, and digital transformation. Our teams here are small enough that what you do is visible, and connected to a group…
Added 43 mins ago
S
Medical Laboratory Assistant
Sanya’k̓ula
North Vancouver, BC
- Full-time
…Information systems and related database system/s to enter data, generate blood collection lists and reports, etc. Answers telephones, files and distributes materials as…
Added 43 mins ago
S&
Field Supervisor
SIRATI & PARTNERS CONSULTANTS LTD.
Markham, ON
- Full-time
…roads, and bridges. Its expertise extends to slope and landslide management, residential and commercial buildings, light rail systems, dams and reservoirs, and water and wastewater…
Added 43 mins ago
DI
Senior Applied Intelligence Platform Engineer
Dawn InfoTek
Toronto, ON
- Contract
…prompt injection, insecure tool usage, model exfiltration, and data…
Added 59 mins ago
UO
Intermediate Medical Office Administrator
University of Ottawa
Ottawa, ON · Minto Sports Complex
- Full-time
Maintain up to date pending test reports and monitor pending tests and referrals. Flag urgencies to management to ensure safe and timely patient care.
Added 59 mins ago
SL
Disability Absence Consultant (12-Month Contract)
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
Reporting to Manager, People Operations (Absence Management). We are seeking a Disability Absence Consultant (12-month contract) to provide expert HR support within HR Shared Services…
Added 1 hour ago
S
System Architect
SLMCON
Montreal, QC
- Full-time
The System Architect is responsible for defining the end-to-end architecture of warehouse management solutions and their supporting integrations, data flows, custom components, and…
Added 1 hour ago
C
Senior Business Analyst
Centrilogic
Canada
- Full-time
Develop recommendations that improve operational efficiency, data quality, compliance, and user experience.
Added 1 hour ago
ZS
Python & Java AI Developer
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Design, build, test, deploy, and support AI-enabled enterprise applications using Python and Java.
Added 1 hour ago
A
Senior Mechanical Engineer (Onsite)
Alchemy
Waterloo, ON
- $100,000 to $130,000 CAD / year
- Full-time
Model complex freeform geometry and reverse-engineer parts from 3D measurement data
Added 1 hour ago
M
Senior Software Developer
Metrolinx
Canada
- Full-time
Design, develop, test, and implement integration solutions, APIs, and enterprise applications aligned with SDLC best practices
Added 1 hour ago
B
Entrepreneur in Residence (EIR) | Contractor
Birg
Remote, Canada
- Other
- Remote
Launch an MVP and measure real behaviour: usage, conversion, payment and retention;Run short test-and-learn cycles and drop what the data doesn't support
Added 1 hour ago
M
RQ11711 - Software Developer - Senior
Maarut
Toronto, ON
- Contract
writing and/or generating code o compiling data-driven
Added 1 hour ago
Automation Technician-Dunlop
Cargill
Guelph, ON
Collect, maintain, format, compile, and manipulate technical data, such as laboratory or material test results and engineering design changes.
Added 1 hour ago
BR
Business Analyst, Operational Strategy
Brookfield Renewable U.S.
Gatineau, QC
- Full-time
…North American Trading, Marketing, Scheduling, Risk, and Energy Management…

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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