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
£ 110KJob 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.