Principal Software Development Engineer (PBM AI Solutions)

CVS Health•Buffalo Grove, IL

8d•$144,200 - $288,400

About The Position

We are seeking a highly experienced and innovative Principal (Director Level) Software Development Engineer to lead the application architecture, design, development, delivery of next-generation digital applications (including Reporting and financial solutions), and optimization of scalable, secure, and high-performance solutions leveraging AI across all major cloud platforms (AWS, Azure, and GCP). This role requires deep technical expertise, AI-enabled solutions, strategic thinking, scalable digital platforms, and enterprise integrations that power critical healthcare and pharmacy experiences and a passion for driving excellence in software engineering practices. This is a senior technical leadership role for a hands-on engineer who can operate across the full stack—from intuitive front-end applications to resilient backend services—while setting architectural direction, influencing engineering standards, and mentoring teams. The ideal candidate combines deep technical expertise, platform thinking, and strong collaboration skills to build secure, scalable, Frontend and API-first solutions in a highly regulated environment.

Requirements

10+ progressive years of experience in defining and driving full stack software engineering, architecture and delivery cloud native platforms for large-scale distributed systems and digital platforms
5+ years in hands on experience as senior/principal/architect roles building cloud native applications with cloud technologies such as GCP, AWS, AZURE, GKE, Google DBs (Bigquery, Spanner, BigTable) or other PaaS with deep expertise in API-first and microservices architectures
5+ years of experience using front end development tools like Angular, React, React TypeScript, React JS
5+ years of experience in building backend functionality using Python, API Forge, Rest API, Java
5+ years of experience working in a Scrum iterative delivery, using Agile concepts such as Sprint planning, CI/CD
3+ years of hands-on experience integrating AI/GenAI capabilities
Bachelor’s degree in Computer Science, Engineering, or related field or equivalent experience

Nice To Haves

12+ years preferred with advanced STEM degree
Act as a technical advisor to engineering and product leadership
Influence cross-team technical direction and strategy
Establish and promote engineering best practices
Mentor and coach engineers across levels
Experience with AI development tools such as Cursor, Copilot, Vertex AI Studio, Claude Code, will be a plus
Experience building enterprise healthcare or regulated-industry platforms
Familiarity with healthcare data, privacy, and compliance requirements
Exposure to ML-Ops and AI lifecycle management
Experience with identity, security, and privacy architectures
Track record of influencing architecture across large organizations
Experience contributing to platform or developer ecosystem strategies
Strong foundational knowledge in AI, with prior experience using AI technologies such as OpenAI, Gemini, and Agentic AI automation
Experience in the healthcare domain
Experience with cloud networking and firewall implementation for new platforms.
Experience with application and database migration and modernization to the cloud

Responsibilities

Define and communicate the broader vision, executing the IT strategy in alignment with organizational standards
Serve as the primary point of contact for stakeholders, including architects, application owners, and engineers, to define overall strategy, prioritization, and execution
Establish epics and initiatives that align with strategic goals and support the product roadmap
Develop and maintain roadmaps that align critical business needs with scalable technical solutions
Leverage performance data to create feedback loops that drive continuous insight and improvement
Champion strong product management and agile mindsets by actively communicating team successes and identifying areas for growth
Build and lead high-performing teams capable of overcoming complex technical challenges to solve business-critical problems