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Added 6 mins ago
A
Cloud Software Engineer
Actalent
Ottawa, ON
- $88 to $111 CAD / hour
- Contract
Added 6 mins ago
AC
Power Supply & Traction Power Engineer
Amaris Consulting | Part of Mantu
Toronto, ON · Greater Toronto Area, Canada
- Full-time
No Artificial Intelligence (AI) tools are used in the screening, assessment, or selection of candidates for this position. All stages of the recruitment process are conducted by human…
Added 6 mins ago
JW
Software Engineer, Web3 Backend
Jobs Web3
Toronto, ON
- Full-time
As a Software Engineer, you’ll build and own backend services, infrastructure, and data systems that support Robinhood’s next-generation crypto, web3, and wallet offerings. You’ll develop…
Added 8 mins ago
SL
Site Reliability Engineer / Release Management & Automation Specialist
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
We may use artificial intelligence to support candidate sourcing, screening, interview scheduling.
Added 8 mins ago
PX
Sr. Data Platform Engineer
Project X
Toronto, ON
- Full-time
Use of Artificial Intelligence in Recruitment
Added 23 mins ago
C
Senior Data Engineer
Clio
Toronto, ON
- Full-time
We're a Human and High Performing AI company, meaning we use artificial intelligence to improve all of our operations. In recruitment, AI helps us streamline the process for greater…
Added 23 mins ago
B
DevOps Engineer - New Grad (January 2027)
BDO
Toronto, ON
- Full-time
BDO may use artificial intelligence enabled tools to support certain aspects of the recruitment process. While these tools assist our teams, our use of AI does not replace human decision…
Added 34 mins ago
IG
Forward Deploy Engineer - AI Solutions
Insight Global
Toronto, ON
- $80 to $85 CAD / hour
- Contract
We may use artificial intelligence tools to assist with the screening, assessment, or selection of potential applicants for this position.
Added 38 mins ago
Back-End Delivery Manager
Government of Alberta
AB
Added 53 mins ago
M
Software Engineer, Android
Mecka
Richmond Hill, ON
- $145,000 to $165,000 CAD / year
- Full-time
Use of Artificial Intelligence in Recruitment
Added 53 mins ago
M
Test & Reliability Engineer
Mecka
Richmond Hill, ON
- $155,000 to $175,000 CAD / year
- Full-time
Use of Artificial Intelligence in Recruitment
Added 53 mins ago
M
Robotics Systems Engineer
Mecka
Richmond Hill, ON
- $140,000 to $155,000 CAD / year
- Full-time
Use of Artificial Intelligence in Recruitment
Added 53 mins ago
M
Mechanical Engineer
Mecka
Richmond Hill, ON
- $140,000 to $160,000 CAD / year
- Full-time
Use of Artificial Intelligence in Recruitment
Added 1 hour ago
K
Founding AI Engineer
Kouvre
Montreal, QC
- Full-time
As our Founding AI Engineer, you own the brain. You will partner closely with the Founding CTO to turn a plain-text message into the right action, building the reasoning, the agents, and…
Added 1 hour ago
C
Senior Data Engineer
Clio
Canada
- Full-time
We're a Human and High Performing AI company, meaning we use artificial intelligence to improve all of our operations. In recruitment, AI helps us streamline the process for greater…
Added 1 hour ago
C
Senior Data Engineer
Clio
Toronto, ON
- Full-time
We're a Human and High Performing AI company, meaning we use artificial intelligence to improve all of our operations. In recruitment, AI helps us streamline the process for greater…
Added 1 hour ago
CO
Staff Software Engineer - Capital One Travel Tech - Full-stack
Capital One
Toronto, ON
- Full-time
We embrace the responsible use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. However, no hiring decisions are made using AI…
Added 1 hour ago
B(
Regulatory Manager
Bitdeer (NASDAQ: BTDR)
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
…advanced cloud capabilities to customers with high demand for artificial…
Added 1 hour ago
C
Senior Software Engineer (Python / GenAI) – Markets Technology
Citi
Mississauga, ON
- Full-time
We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the…
Added 1 hour ago
IG
Deployment Engineer
Insight Global
Toronto, ON
- $90 to $100 CAD / hour
- Contract
We may use artificial intelligence tools to assist with the screening, assessment, or selection of potential applicants for this position.
Added 1 hour ago
K
Procurement Engineer
Kinectrics
Toronto, ON
- Full-time
Added 1 hour ago
LC
Data Engineer II
Loblaw Companies Limited
Brampton, ON
- Full-time
Loblaw Technology & Analytics is looking for a Data Engineer II to join the Data & AI platform team. You will help design, build, and maintain the cloud services, workflow orchestration,…
Added 1 hour ago
GM
Early Career Software Test Developer - Propulsion Thermal Management
General Motors
Markham, ON
- Full-time
As part of the application process, Artificial Intelligence will be used in the hiring process for this role.
Added 1 hour ago
M
Senior DevOps Engineer
Miovision
Remote, Canada
- $130,000 to $170,000 CAD / year
- Full-time
- Remote
We are currently looking for a Senior DevOps Engineer to contribute to the development of our cloud infrastructure and platform tooling, embed security into our engineering lifecycle, and…
Added 1 hour ago
M
Firmware Engineer, Embedded Linux
Mecka
Richmond Hill, ON
- $150,000 to $170,000 CAD / year
- Full-time
Use of Artificial Intelligence in Recruitment

Infomatics Corp

Forward Deployed AI Engineer – System Test Automation

Ottawa, ON, Canada

Contract

Apply About employer

Applications open in a new tab.

Job details

Job type: Contract
Apply by: Nov 6, 2026
Experience: 2+ years of hands-on experience in software engineering or applied AI, with clear ownership of deploying solutions into real engineering or production environments
Posting language: English
Posted: Oct 7, 2026

Original job description

Only USC and GC candidates on W2. Telecom or Satellite Communications experience is mandatory.

We are seeking a Forward Deployed AI Engineer (FDE) to accelerate the real-world adoption of AI within our End-to-End System Test Automation. This role focuses on taking AI tools and prototypes and making them work reliably inside complex engineering environments. You will embed closely with system test engineers, automation framework/ test owners and development teams to adapt, harden and operationalize AI-driven workflows. This is a hands-on engineering role for individuals who thrive in ambiguity, enjoy working close to real users and can turn AI potential into measurable productivity gains.

Key Responsibilities:

Forward Deployment of AI into Test Automation and turn AI prototypes into production-ready, repeatable solutions

Embed with system test and automation teams to:

Understand real testing workflows, constraints, and failure modes

Identify where AI can safely and effectively reduce manual effort

Adapt AI workflows to work with:

Existing automation frameworks

Real test data, schemas, and configurations

Agentic AI Implementation & Tuning

Implement and customize agentic AI workflows that:

Interpret requirements, schemas, or models

Assist in generating structured test assets

Tune AI behavior based on:

Real test outcomes

Failure analysis and feedback

Debug and resolve AI issues in live engineering environments

AI Tooling & Platform Feedback

Work with AI platforms (e.g., Qodo or similar) to:

Extend functionality where needed

Configure prompts, workflows, and validation layers

Evaluate emerging AI tools and frameworks in real system test contexts

Feed practical insights back to platform and leadership teams:

What works

What fails

What should scale

Enablement, Documentation & Guardrails

Document AI usage patterns and best practices

Help define guardrails for:

Safety-critical configurations

Invalid or destructive AI-generated outputs

Enable test engineers to adopt AI confidently and responsibly

Required Qualifications

2+ years of hands-on experience in software engineering or applied AI, with clear ownership of deploying solutions into real engineering or production environments
Demonstrated experience taking an AI or automation-based solution from prototype to real-world usage, including adapting it to real constraints, failures, and evolving requirements
Proven ability to own and troubleshoot AI behavior, tuning prompts/instructions, adding validation or guardrails, and diagnosing incorrect, unsafe, or low-quality outputs
Experience working closely with engineers or end users to understand real workflows and iterating rapidly based on live feedback and outcomes
Strong hands-on programming skills (Python required), with experience building orchestration, integration, or control logic across multiple systems

Preferred Qualifications

Networking fundamentals (TCP/IP, MPLS, gNMI, YANG)
Linux, CI/CD, Docker, Kubernetes

Apply About employer

More about this job

Responsibilities

Deploy and adapt AI workflows for end-to-end system test automation, working closely with test engineers and development teams to make prototypes reliable in real engineering environments. Tune and troubleshoot agentic AI, provide feedback on AI platforms, document best practices, and establish guardrails for safe adoption.

Requirements

Requires at least two years of hands-on software engineering or applied AI experience, including deploying and owning AI or automation solutions in real-world environments. Candidates must have strong Python skills, experience tuning and validating AI behavior, and mandatory telecom or satellite communications experience; networking, Linux, CI/CD, Docker, and Kubernetes are preferred.

Skills

Python
Applied AI
Agentic AI Workflows
Software Engineering
Test Automation
Prompt Tuning
AI Validation And Guardrails
Troubleshooting
Systems Integration
Telecom
Satellite Communications
TCP/IP
MPLS
gNMI
YANG
Linux

Visa sponsorship

Not detected in the job text

Keywords

Forward Deployed Engineer
Artificial Intelligence
System Test Automation
Telecom
Satellite Communications
Python
Agentic AI
AI Workflows
Prompt Tuning
Test Assets
Test Data
Schemas
Automation Frameworks
AI Validation
Guardrails
Failure Analysis
Systems Integration
Qodo
TCP/IP
MPLS
gNMI
YANG
Linux
CI/CD
Docker
Kubernetes
Production Deployment
End-To-End Testing

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