AI Quality Enablement Engineer - Cigna Healthcare
Cigna
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Job summary
Cigna Healthcare seeks an AI-enabled Quality Engineering specialist to accelerate the adoption of AI across QE, improving testing, automation, and delivery outcomes. You will work with Scrum teams to implement AI-powered solutions and establish governance for responsible AI use.
The role emphasizes defining standards, delivering accelerators, and enabling continuous improvement of QE practices with KPI-driven insights.
Qualifications
- Strong QE principles and best practices across software delivery.
- Experience with AI-driven QE solutions and prompting techniques.
- Familiarity with Agile, DevOps, and CI/CD in modern QE.
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 for AI use within QE activities.
- Design, develop, prototype, and evaluate AI-enabled solutions, accelerators, workflows, templates, and PoCs for testing and automation.
- Integrate AI tools into QE processes to improve testing effectiveness and productivity.
- Partner with Scrum teams to drive continuous improvement across QE, automation, and CI/CD.
- Monitor adoption and outcomes via KPIs, dashboards, and quality metrics.
- Lead workshops and knowledge-sharing to build AI capability across teams.
Skills
Tools
Job description
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.
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.
- 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.
- 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.
- 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
- 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 reportingNice 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 recog
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