AI Quality Enablement Engineer - Cigna Healthcare

Cigna Health and Life Insurance Company; Glasgow; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Private Medical Insurance

Employee Wellbeing Benefits

Educational Development Program

Job summary

Cigna Healthcare is accelerating AI-enabled practices across Quality Engineering to improve quality, automation, and delivery outcomes. You will work with Scrum teams to implement AI-driven testing, tooling, and governance, designing accelerators and PoCs that scale across projects.

The role requires strong QE fundamentals, experience with AI-enabled software development, and collaboration across cross-functional teams in a hybrid setting.

Qualifications

• Strong foundation in Quality Engineering principles and practices.
• Experience with AI-enabled software development and AI-assisted QA.
• Knowledge of Agile, DevOps, CI/CD in modern delivery contexts.
• Experience defining standards and governance for AI usage across teams.

Responsibilities

• Drive adoption of AI-enabled Quality Engineering practices across teams.
• Define standards, guidance, and guardrails for responsible AI use in QE.
• Design, prototype, and evaluate AI-enabled testing, automation, and QA solutions.
• Integrate AI tools into QE processes to improve testing and delivery outcomes.
• Collaborate with Scrum teams to improve quality, automation, and CI/CD adoption.
• Monitor adoption and report KPIs with dashboards and scorecards.
• Lead workshops and knowledge-sharing to build AI capability across teams.

Skills

Quality Engineering

AI & Generative AI

Prompting techniques

Agile delivery

DevOps CI/CD

Tools

Microsoft Copilot

GitHub Copilot

Azure AI

OpenAI

AWS AI

Job description

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, DevOps, 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.

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, GitHub Copilot, Azure AI, OpenAI, 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, DevOps, 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 DevOps 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, DevOps, 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: [e-mail] for support.

Do not email [e-mail] for an update on your application or to provide your resume as you will not receive a response.

Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we’re dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives.