At a Glance
- Tasks: Drive AI adoption in Quality Engineering to enhance efficiency and productivity.
- Company: Join Cigna Healthcare, a global leader in health services with a positive culture.
- Benefits: Enjoy competitive salary, private medical insurance, and continuous learning opportunities.
- Other info: Collaborative, multicultural environment with excellent career growth potential.
- Why this job: Make a real impact by improving healthcare experiences through innovative AI solutions.
- Qualifications: Strong understanding of Quality Engineering and AI technologies required.
The predicted salary is between 63000 - 77000 £ per year.
About Cigna Healthcare
Cigna Healthcare is a global health service company dedicated to transforming healthcare.
With roots in the U.
S. and operations in over 30 countries, we serve more than 180 million customers and patients worldwide.
Ranked 13th on the Fortune 500 in 2025, Cigna is recognized as one of the most trusted and influential names in the industry.
Our mission is to improve the health, well-being, and peace of mind of those we serve.
You’ll join a globally recognized organization where trust, clear communication, and a positive culture shape how we work.
Our leaders are consistent, approachable, and supportive, helping you maintain balance while doing meaningful work.
We look for people who thrive in collaborative environments, care about meaningful change, and want to grow in a company that puts people first.
At Cigna Healthcare, your work contributes to better care experiences and supports customers through important moments in their lives.
About the Role
You will help accelerate the adoption of AI-enabled practices across Quality Engineering, enabling teams to improve quality, automation, productivity, and delivery outcomes.
Working closely with Scrum teams, you will identify opportunities to apply AI across the Quality Engineering lifecycle and support the practical implementation of solutions that drive measurable improvements in efficiency, scalability, and engineering effectiveness.
- What You’ll Do
- Drive adoption of AI-enabled Quality Engineering practices to improve quality, automation, scalability, operational efficiency, and engineering effectiveness.
- Define standards, guidance, best practices, and guardrails that support the effective and responsible use of AI within Quality Engineering activities.
- Design, develop, prototype, and evaluate AI-enabled solutions, accelerators, workflows, templates, and Proofs of Concept that enhance testing, automation, analysis, reporting, and knowledge management.
- Integrate AI tools and capabilities into Quality Engineering processes to improve testing effectiveness, engineering productivity, and delivery outcomes.
- Partner with Scrum teams to identify opportunities for continuous improvement across quality, automation, CI/CD adoption, and modern Quality Engineering practices.
- Monitor and report on adoption, utilization, and business outcomes through KPIs, dashboards, scorecards, and quality performance measures.
- Facilitate workshops, training sessions, knowledge-sharing activities, and cross-functional improvement initiatives that build AI capability across teams.
- What You’ll Bring
- Strong understanding of Quality Engineering principles, methodologies, frameworks, and industry best practices.
- Strong understanding of AI, Generative AI, prompting techniques, AI-assisted software development, and AI-enabled Quality Engineering practices.
- Experience evaluating, implementing, or enabling AI-driven solutions that improve Quality Engineering, automation, productivity, and quality outcomes.
- Experience designing, developing, prototyping, or implementing AI-enabled solutions, automations, accelerators, integrations, or related capabilities within Quality Engineering or software delivery environments.
- Strong understanding of Agile, Dev Ops, CI/CD, and modern Quality Engineering practices.
- Experience defining standards, governance approaches, frameworks, guardrails, or best practices, while influencing outcomes across multiple Agile delivery teams.
Skills
- Soft Skills
- Stakeholder management and relationship building
- Clear communication and facilitation skills
- Influencing and collaboration across cross-functional teams
- Analytical thinking and problem-solving
- Continuous improvement mindset
- Knowledge-sharing and enablement capabilities
- Technical / Functional Skills
- Quality Engineering methodologies, frameworks, and best practices
- AI and Generative AI technologies and prompting techniques
- AI-assisted software development and AI-enabled Quality Engineering practices
- AI platform experience, including technologies such as Microsoft Copilot, Git Hub Copilot, Azure AI, Open AI, AWS AI, or similar solutions
- Test design, test automation, quality analysis, defect management, reporting, and knowledge management
- KPI development, scorecards, dashboards, and performance reporting
- Agile delivery, Dev Ops, and CI/CD practices
- Nice to Have (optional)
- Experience within Healthcare, Insurance, or other regulated industries
- Experience with Quality Engineering maturity models, continuous improvement frameworks, organizational change initiatives, or transformation programs
- Experience with test automation frameworks, automation strategy, and engineering quality metrics
- Experience with Dev Ops platforms, release pipelines, and CI/CD tooling
- Experience implementing AI-assisted testing, AI-enabled Quality Engineering solutions, or software engineering productivity tools
- Experience evaluating emerging technologies, innovation initiatives, and Proofs of Concept
- Professional certifications or recognized training in Quality Engineering, Testing, Agile, Dev Ops, Artificial Intelligence, Generative AI, AI Governance, Microsoft Copilot, Azure AI, AWS AI, or related technologies
- Why Join Us
- Competitive salary and benefits package.
- Multicultural and hybrid working environment with opportunities to collaborate across global teams.
- Private Medical Insurance and Employee Wellbeing Benefits.
- Educational Development Program to support continuous learning and professional growth.
- About Cigna Healthcare
Cigna Healthcare, a division of The Cigna Group, is an advocate for better health through every stage of life.
We guide our customers through the health care system, empowering them with the information and insight they need to make the best choices for improving their health and vitality.
Join us in driving growth and improving lives.
Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.
If you require reasonable accommodation in completing the online application process, please email:
See Yourself EMEA@cigna. com for support. Do not email
See Yourself EMEA@cigna. com for an update on your application or to provide your resume as you will not receive a response.
AI Quality Enablement Engineer - Cigna Healthcare in Glasgow employer: Cigna Group
Cigna Healthcare is an exceptional employer that prioritises employee well-being and professional growth within a supportive, multicultural environment. As a Senior Client Manager, you will enjoy a competitive salary, private medical insurance, and access to educational development programmes, all while working collaboratively to make a meaningful impact in the healthcare sector. Join us to thrive in a role that values innovation and fosters strong relationships with clients across a global portfolio.
StudySmarter Expert Advice🤫
We think this is how you could land AI Quality Enablement Engineer - Cigna Healthcare in Glasgow
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Cigna Group or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Cigna Group.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Cigna Group.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Cigna Group that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Quality Enablement Engineer - Cigna Healthcare in Glasgow
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Cigna Group.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Cigna Group and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Cigna Group
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Cigna Group uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
