AI Quality Enablement Engineer - Cigna Healthcare
CIGNA
In this role you drive the adoption of AI-powered Quality Engineering practices across Scrum teams to boost quality, automation, and delivery. You will define standards and guardrails for responsible AI use in Quality Engineering and develop AI-enabled solutions and accelerators. You’ll partner with cross-functional teams to identify opportunities for improvement, monitor outcomes with KPIs, and lead knowledge-sharing initiatives to raise AI capability. This is a chance to shape how AI transforms testing and engineering effectiveness at scale within a global health company.
Pay / Benefits- Competitive salary and benefits package
- Hybrid/global collaboration
- Private Medical Insurance
- Employee Wellbeing Benefits
- Educational Development Program
- Promote AI-enabled Quality Engineering practices to enhance quality, automation, scalability, and efficiency
- Define standards, governance, and guardrails for AI use in Quality Engineering
- Design and prototype AI-enabled solutions, accelerators, workflows, and PoCs for testing, automation, analysis, and reporting
- Integrate AI capabilities into Quality Engineering processes to improve testing effectiveness and delivery outcomes
- Collaborate with Scrum teams to drive continuous improvement in quality, automation, CI/CD, and modern QA practices
- Monitor adoption and business impact via KPIs, dashboards, and quality metrics
- Facilitate workshops, training, and knowledge-sharing to grow AI capability across teams
- Strong knowledge of Quality Engineering principles and AI-enabled QA practices
- Experience evaluating or implementing AI-driven quality improvements
- Experience designing or deploying AI-enabled QA solutions or automation
- Solid understanding of Agile, DevOps, CI/CD and modern QA practices
- Experience defining standards and governance for outcomes across multiple Agile teams
- Stakeholder management
- Clear communication and facilitation
- Influencing across cross-functional teams
- Quality Engineering methodologies and best practices
- AI and Generative AI technologies and prompting techniques
- AI-assisted software development and AI-enabled QA practices
Reference: WJ-747_30174841