AI Quality Engineering Enablement Lead

Cigna Healthcare; Glasgow; Hybrid; GBP 65,000 - 95,000; Full time

Benefits offered by this job

Competitive salary and benefits

Hybrid working environment

Private Medical Insurance

Educational Development Program

Job summary

Cigna Healthcare is seeking a specialist to accelerate AI-enabled practices within Quality Engineering. You will work with Scrum teams to identify opportunities, implement AI-driven QA solutions, and improve automation, testing, and delivery outcomes.

The role requires a solid QE foundation, knowledge of GenAI and prompting, and experience in Agile/DevOps environments. A global, hybrid-working setup offers diverse collaboration and learning opportunities.

Qualifications

• 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 QE practices.
• Experience evaluating, implementing, or enabling AI-driven solutions that improve QE, automation, productivity, and quality outcomes.
• Experience designing, developing, prototyping, or implementing AI-enabled solutions within QE or software delivery environments.
• Strong understanding of Agile, DevOps, CI/CD, and modern QE practices.
• Experience defining standards, governance approaches, frameworks, guardrails, or best practices across multiple Agile teams.

Responsibilities

• 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 responsible use of AI in QE activities.
• Design, develop, prototype, and evaluate AI-enabled solutions, accelerators, workflows, templates, and PoCs to enhance testing, automation, analysis, reporting, and knowledge management.
• Integrate AI tools and capabilities into QE processes to improve testing effectiveness and delivery outcomes.
• Partner with Scrum teams to identify opportunities for continuous improvement across quality, automation, CI/CD adoption, and modern QE practices.
• Monitor and report adoption, utilization, and business outcomes via KPIs, dashboards, scorecards, and quality measures.
• Facilitate workshops and training to build AI capability across teams.

Skills

Stakeholder management

Clear communication

Influencing collaboration

Analytical thinking

Continuous improvement

Knowledge sharing

Tools

Microsoft Copilot

GitHub Copilot

Azure AI

OpenAI

AWS AI

Job description

Cigna Healthcare is seeking a specialist to accelerate AI-enabled practices within Quality Engineering. You will work with Scrum teams to identify opportunities, implement AI-driven QA solutions, and improve automation, testing, and delivery outcomes.

The role requires a solid QE foundation, knowledge of GenAI and prompting, and experience in Agile/DevOps environments. A global, hybrid-working setup offers diverse collaboration and learning opportunities.