Forward-Deployed AI Test Automation Engineer

Infomatics Corp

Ottawa

On-site

CAD 120,000 - 150,000

Full time

19 hours ago
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Job summary

Infomatics Corp in Ottawa is seeking a Forward Deployed AI Engineer to accelerate real-world adoption of AI in End-to-End System Test Automation. You will turn AI tools and prototypes into reliable, production-ready workflows that fit complex engineering environments.

This hands-on role requires collaborating with system test engineers and development teams to embed AI into existing automation frameworks, adapt prompts, and ensure safe, measurable productivity gains.

Qualifications

  • 2+ years of hands-on software engineering or applied AI experience deploying solutions into real engineering or production environments.
  • Experience turning AI/automation prototypes into production-ready workflows, adapting to real constraints and evolving requirements.
  • Proven ability to own and troubleshoot AI behavior, tuning prompts and validation layers, diagnosing unsafe outputs.
  • Experience collaborating with engineers or end users to understand real workflows and iterate based on live feedback.

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 workflows, constraints, and failure modes.
  • Identify where AI can safely reduce manual effort and integrate with existing automation frameworks and real test data.

Skills

Python programming
Hands-on engineering experience
Problem solving

Tools

Python
Test Automation frameworks
Qodo

Job description

Infomatics Corp in Ottawa is seeking a Forward Deployed AI Engineer to accelerate real-world adoption of AI in End-to-End System Test Automation. You will turn AI tools and prototypes into reliable, production-ready workflows that fit complex engineering environments.

This hands-on role requires collaborating with system test engineers and development teams to embed AI into existing automation frameworks, adapt prompts, and ensure safe, measurable productivity gains.

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