Staff AI Software Development Engineer

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

Position Summary

As part of the Aetna Technology & Software Development Engineering organization, you will be expected to lead a high performing AI team to develop an AI products/feature and lead a team of Software engineers. You will build high-quality, usable products for Aetna technology customers and stakeholders. You are expected to be proficient in AI technologies and have hands on knowledge to develop AI solutions. This role is crucial for ensuring the successful completion of new product features and this product is planning to use Cutting edge technologies to improve the stability and resiliency of Aetna’s critical applications.

What you will do:

• Lead multiple development teams consisting of Senior and Associate level engineers primarily focused on providing guidance, mentorship, and achieving key milestones for this new product.

• Set technical direction and strategy for the team aligning with organizational goals. Closely work with multiple stakeholders to expedite the enablement of the platform.

• Manage large cross functional projects and collaborate with multiple partners, aligning priorities, resolving conflicts, and maintaining productive relationships.

• Plan, organize and execute software development projects from inception to delivery. Troubleshoot complex issues and provide technical solutions for timely resolution. Facilitates risk assessments by troubleshooting production issues, assessing available resources, and providing timely resolutions to minimize downtime.

• Participate in technical solutions, provide technical guidance and on time delivery.

• Review and approve engineering designs, technical documentation, and project plans. Researches and evaluates the latest software development technologies, methodologies, and industry trends, capitalizing on innovative technology solutions and integrating best options.

• Define and refine delivery processes, disaster recovery plans, and release plans.

• Develop and implement strategies to drive technical excellence and innovation. Ensure the department adheres to best practices, quality standards, and industry trends.

• Foster a culture of continuous improvement and professional development within the team.

• Provide expert technical guidance for complex challenges and make informed decisions.

• Manage staffing, budgeting, and equipment procurement.

• Perform capacity planning for multiple teams as well as high level project estimates.

• Provide oversight of scheduled releases to ensure stability and accuracy

• Foster a culture of continuous improvement and professional development within the team. Delivers expert technical guidance, makes informed decisions, and supports the team when faced with complex challenges.

Required Qualifications

• 7+ years of hands-on experience working in AI technologies including Microsoft open AI, Google Gemini and Agentic AI implementations.

• 6+ years of experience with frontend development including Angular 15+ or Python.

• 6+ years of experience implementing REST services with Java and Spring Boot.

• 6+ years of experience building cloud native applications and advanced knowledge in machine learning implementations.

• 5+ years of data engineering or machine learning experience.

• 5+ years of experience leading projects using Agile methodology.

Preferred Qualifications

• 10+ years of experience working with enterprise solution delivery in a large-scale distributed software design environment, preferably in AWS, Azure or GCP.

• Strong technical knowledge, leadership skills and product operational experience.

• Excellent communication skills to interact with stakeholders, customers, and senior management.

• Strong experience with AI technologies.

• Debugging and performance optimization techniques.

• Experience in deploying to a cloud platform (Kubernetes, Azure, AWS, etc.).

Education

Bachelor’s degree or equivalent experience (HS diploma + 4 years relevant experience)