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Added 20 mins ago
SM
Software Developer – Full Stack – Senior - RQ00799
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Full Stack Software Developer with extensive experience in enterprise integration, API development, MuleSoft, Apache Camel, Enterprise Java, REST APIs, cloud and…
Added 20 mins ago
SM
Software Developer – Full Stack – Senior - RQ00799
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Full Stack Software Developer with extensive experience in enterprise integration, API development, MuleSoft, Apache Camel, Enterprise Java, REST APIs, cloud and…
Added 20 mins ago
SM
Software Developer – Full Stack – Senior - RQ00799
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Full Stack Software Developer with extensive experience in enterprise integration, API development, MuleSoft, Apache Camel, Enterprise Java, REST APIs, cloud and…
Added 20 mins ago
SM
Software Developer – Full Stack – Senior - RQ00798
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Full Stack Software Developer with extensive experience in enterprise integration, API development, MuleSoft, Apache Camel, Enterprise Java, REST APIs, cloud and…
Added 20 mins ago
SM
Software Developer – Full Stack – Senior - RQ00798
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Full Stack Software Developer with extensive experience in enterprise integration, API development, MuleSoft, Apache Camel, Enterprise Java, REST APIs, cloud and…
Added 20 mins ago
SM
Software Developer – Full Stack – Senior - RQ00798
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Full Stack Software Developer with extensive experience in enterprise integration, API development, MuleSoft, Apache Camel, Enterprise Java, REST APIs, cloud and…
Added 35 mins ago
Principal Product Manager (Healthcare Solutions)
Open Text Corporation
Richmond Hill, ON
…knowledge workers - and we’re looking for a Principal Product Manager to lead our strategic efforts to define and drive the strategy, roadmap, and execution of healthcare connectivity,…
Added 49 mins ago
A
Senior Incident and Problem Manager
Aviso
Vancouver, BC
- $115,000 to $125,000 CAD / year
- Full-time
We're looking to fill an opening for a Senior Incident and Problem Manager to join our Technology Ops & Support Partners team.
Added 49 mins ago
R
Senior ServiceNow Developer
Raise
Calgary, AB
- Full-time
Reporting to the Manager, Enterprise Cloud Platforms, this is an exciting opportunity for a senior ServiceNow professional to serve as a technical leader and subject matter expert within a…
Added 1 hour ago
O
Principal Product Manager (Healthcare Solutions)
OpenText
Richmond Hill, ON
- Full-time
…knowledge workers - and we’re looking for a Principal Product Manager to lead our strategic efforts to define and drive the strategy, roadmap, and execution of healthcare connectivity,…
Added 2 hours ago
N
Software Engineer – Master’s New Grad / Bachelor’s + 2–3 Years Experience
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
…Nutanix to help develop our DataHub platform - an enterprise data hub and identity middleware engine positioned between raw infrastructure/SaaS platforms and downstream search, retrieval,…
Added 2 hours ago
Cyber Security Operational Technology Senior Analyst or Analyst
Pembina Pipeline Corporation
Calgary, AB
Pembina Pipeline Corporation’s Calgary office is actively hiring for a Cyber Security Operational Technology (OT) Senior Analyst or Analyst to join our Cyber Security team. Reporting to the…
Added 2 hours ago
M
Senior Product Delivery Manager
Manulife
Toronto, ON
- Full-time
Manulife is seeking a highly motivated Senior Product Delivery Manager to join our Global Wealth and Asset Management (GWAM) Technology team. This role sits at the intersection of business,…
Added 2 hours ago
OC
Production Techgronomist
Olds College of Agriculture & Technology
Olds, AB
- $70,000 to $80,000 CAD / year
- Full-time
Reporting to the Senior Manager of the Smart Farm, the Production Techgronomist represents a unique opportunity to shape the future of digital agriculture in a world-class applied research…
Added 3 hours ago
D
Cloud Solutions Architect Manager
Deloitte
Ottawa, ON
- Full-time
The Digital Experience team at Deloitte helps organizations transform how they engage customers through modern digital platforms. The team specializes in designing and delivering enterprise…
Added 4 hours ago
Social Impact Specialist
Range
Toronto, ON
Learn from leaders. You'll work closely with the Director and Manager of Social Impact to support our largest partnerships and interact with Senior and Executive leadership across the…
Added 4 hours ago
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Account Manager
Flexiti
Toronto, ON · North York, ON
- Full-time
AI & Data Proficiency (Core Requirement): Have proven ability to leverage Generative AI models (specifically Gemini and Claude) and data platforms (e.g., Databricks) in a daily workflow.…
Added 4 hours ago
AW
Senior Incident and Problem Manager
Aviso Wealth
Remote, Canada
- $115,000 to $125,000 CAD / year
- Full-time
- Remote
We’re looking to fill an opening for a Senior Incident and Problem Manager to join our Technology Ops & Support Partners team.
Added 4 hours ago
AW
Senior Incident and Problem Manager
Aviso Wealth
Remote, Canada
- $115,000 to $125,000 CAD / year
- Full-time
- Remote
We’re looking to fill an opening for a Senior Incident and Problem Manager to join our Technology Ops & Support Partners team.
Added 4 hours ago
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Social Impact Specialist
Range
Toronto, ON
- $60,000 to $75,000 CAD / year
- Full-time
Learn from leaders. You'll work closely with the Director and Manager of Social Impact to support our largest partnerships and interact with Senior and Executive leadership across the…
Added 4 hours ago
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Gestionnaire principal·e, Opérations numériques // Senior Manager, Digital Operations
SSENSE
Montreal, QC
- Full-time
Added 5 hours ago
Senior Platform Engineer, AI & Fabrics
BMO
Toronto, ON · FCP
Hands-on depth in at least one of: API/gateway services; policy-as-code/authorization; workload identity/security; observability/telemetry; audit/data platforms.
Added 5 hours ago
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Senior Manager, Data & AI
BDO
Vancouver, BC
- Full-time
BDO Digital’s Vancouver office is looking for a Senior Manager to join our Data & AI Consulting Practice team and own the following responsibilities:
Added 5 hours ago
Manager, Leadership and Employee Development
Pembina Pipeline Corporation
Calgary, AB
…proactively identify risks, and protect our people, assets, and data. Working for Pembina means working…
Added 5 hours ago
Tax & Law Technology - Process Transformation - Manager/Senior Analyst - Calgary
EY
AB · Calgary, AB
As a Business Transformation Manager within the Canada Tax Technology Group (CTTG), you will play a key role in shaping and advancing the future of tax service delivery. You will partner…

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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