Engineering Manager (Artificial Intelligence)

Postaladdress Uk
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 110K

Job location

Remote

Tech stack

Artificial Intelligence
Automation of Tests
Software Quality
DevOps
Software Tools
Software Engineering
Software Testing Automation Framework

Job description

This is a high-impact Engineering Manager role focused on evolving how testing is approached across the organisation.

You'll lead a team of QA Engineers while redefining testing strategy through AI, automation, and modern engineering practices.

This isn't about maintaining test frameworks, it's about rethinking quality engineering from the ground up., * Focus on outcomes: faster delivery, better quality, less friction

  • Define and execute a modern Test Engineering strategy aligned with AI-first principles Introduce AI-driven testing approaches
  • Improve test automation frameworks for scalability, maintainability, and speed
  • Leverage AI tools to reduce regression effort and improve defect detection
  • Enhance CI/CD pipelines to support high-confidence, high-frequency releases

Requirements

  • Experience in an Engineering Leadership role
  • Background in Software engineering (any language)
  • Understanding of how AI can enhance test engineering and software quality
  • Experience using AI tools to support automation or development workflows
  • Strong communication skills

Benefits & conditions

  • Driving AI adoption across Test Engineering
  • Hands-on development background required
  • Fully Remote working (UK / ROI)
  • Competitive salary up to £110k plus bonus, * Competitive salary up to £110k plus bonus
  • Fully remote working (UK / ROI)
  • High trust environment with real ownership and influence
  • Strong focus on engineering excellence and professional growth

About the company

Our client is a global technology organisation supporting a wide portfolio of enterprise software partners. Following a major transformation, the business is now investing heavily in AI-augmented engineering, with a particular focus on modernising Test Engineering. The goal is simple: build faster, release safer, and significantly improve engineering efficiency through intelligent automation.

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