An innovative technology company operating in the financial services technology space is seeking an experienced Senior QA Engineer to support the development of AI-enabled enterprise platforms.
This role sits within a modern engineering environment focused on scalable systems, automation, and intelligent product capabilities. As AI-driven features become increasingly integrated into the platform, the organisation is looking for a senior quality professional who can ensure these systems remain reliable, transparent, and safe within regulated environments.
The successful candidate will play a key role in defining testing strategies for both traditional distributed systems and emerging AI-powered functionality.
Company Culture & Values:
This organisation values engineering excellence, collaboration, and continuous improvement. Teams work in a highly collaborative environment where quality, innovation, and accountability are central to product development.
Engineers are encouraged to take ownership of technical decisions, contribute to architectural discussions, and continuously improve testing practices across teams. The culture promotes knowledge sharing, mentoring, and experimentation with new technologies, particularly in the rapidly evolving area of AI-driven software systems.
Salary & Benefits:
Competitive salary package
Flexible hybrid working model
Opportunity to work on cutting-edge AI-enabled products
Influence testing strategy and engineering standards at scale
Exposure to modern CI/CD environments and distributed architectures
Collaborative environment with strong technical leadership
Opportunities for mentoring, technical leadership, and career progression
Duties / Responsibilities:
Automation & Platform Quality
Design and maintain scalable test automation frameworks used across multiple engineering teams
Define automation strategies and ensure alignment across delivery squads
Design and monitor quality gates within CI/CD pipelines to support reliable releases
Develop internal tools and integrations that enhance test execution, observability, and feedback cycles
Define testing standards and ensure best practices across automation codebases
Collaborate with architects and senior engineers to align testing strategies with evolving platform architecture
Support knowledge sharing through technical mentoring, documentation, and internal workshops
AI & Machine Learning Quality
Define quality strategies for AI and machine learning–powered features
Design test approaches for systems with non-deterministic or probabilistic outputs
Validate AI functionality against behavioural expectations, confidence thresholds, and risk parameters
Assess models for bias, fairness, explainability, and compliance considerations
Test AI-driven functionality across model updates, data changes, and prompt or feature evolution
Collaborate with data scientists and ML engineers to embed quality validation throughout the model lifecycle
Monitor production signals to identify model drift, performance degradation, or unexpected behaviours
Key Requirements:
5–8 years’ experience in Quality Engineering, Test Automation, or SDET roles
Strong experience building or scaling automation frameworks across engineering teams
Solid programming skills with an understanding of software architecture principles
Experience working within CI/CD environments and automated testing pipelines
Ability to develop internal testing tools or integrations that improve engineering efficiency
Comfortable operating in complex, evolving technical environments
Strong communication skills with the ability to influence teams and mentor engineers
AI Systems Testing Experience (Highly Beneficial):
Experience testing AI or machine learning-based applications
Understanding of the AI/ML lifecycle, including training, validation, deployment, and retraining
Experience validating systems where outputs are probabilistic or non-deterministic
Familiarity with concepts such as model drift, confidence scoring, bias detection, and false positives/negatives
Ability to design testing approaches where validation is behavioural or risk-based rather than purely binary
Desired Skills:
Strong systems thinking and analytical mindset
Ability to test complex systems where outcomes are context-driven
Experience working in highly regulated or compliance-focused environments
Interest in the intersection of data, AI models, and real-world product behaviour
Passion for mentoring and developing engineering capability within teams
Data-driven mindset with a focus on measurable quality outcomes
Awareness of the ethical considerations involved in AI-driven systems
To be considered for this position apply today or call Vishnu Singh on 01 5252457. If you are interested in finding out more about the above role and would like to be considered for this or other suitable roles that we may have available for your skill set – please attach your CV via the link provided. Please submit your updated CV in Word Format. If you are living in Ireland and hold a VALID WORK PERMIT, we would love to hear from you, if however, you do not hold a valid work permit unfortunately we will not be in a position to assist you with your job search. Osborne are proud to be an Equal Opportunity Employer #INDOSB1 #INDSINGH
