Staff Software Development Engineer (Agentic AI/ML)

CVS Health•New York, MA

1d•$118,450 - $260,590•Remote

About The Position

CVS Health is seeking a Staff Software Development Engineer specializing in developing solutions using Agentic AI/ML serving as a leader and role model in engineering for both peers and clients. The successful candidate will lead project teams working with a diverse range of technologies, including both legacy IBMi AS400 Series systems and advanced Agentic AI/ML frameworks. This team is part of the very impactful Claims Adjudication team and this role will be instrumental in our leap to modern AI driven approaches. We will consider remote US for the right candidate.

Requirements

7+ years of relevant experience designing and building software applications, including expertise in modern programming languages such as Java, Python, FastAPI, as well as relational databases (PostgreSQL), NoSQL databases (MongoDB, Cosmos DB), messaging systems (Apache Kafka, MQ), and container orchestration frameworks (Kubernetes, Docker)
5+ years of experience with front-end frameworks such as Angular, React, Vue.js, jQuery, and CSS framework Bootstrap
5+ years of experience with Azure or GCP cloud applications/services
5+ years leading software development projects, including setting project goals, monitoring progress, tracking milestones, communicating with stakeholders, and mentoring junior developers
In-depth understanding of APIs and microservices-based architecture
3+ years of experience in AI and agentic solution development, including Designing and deploying intelligent agents and autonomous workflows, Integrating AI/ML models into cloud-native applications. Leveraging LLMs, vector databases, and orchestration frameworks to build agentic systems, Applying prompt engineering, retrieval-augmented generation (RAG), and multi-agent collaboration patterns

Nice To Haves

12+ years leading concurrent technical projects in both legacy IBMi/AS400 and emerging technologies
Health care industry domain knowledge
Experience with enterprise development tools and methodologies (XP, Agile), including DevSecOps and DataOps
Experience integrating with legacy IBMi AS400 applications and developing roadmaps for application modernization
Experience with RxClaim or other PBM adjudication systems
Bachelor’s degree in Computer Science, Engineering, or a related field or equivalent experience. An advanced degree is preferred.

Responsibilities

Able to develop a vision and formulate implementation plans to achieve end goals, evaluating situations, decisions, and issues in the short, medium, and long term.
Capable of breaking down complex problems, processes, or projects into manageable components for systematic exploration and evaluation.
Design and implement complex software solutions for APIs, microservices, CI/CD pipelines, and real-time streaming on cloud platforms such as Azure or GCP.
Conduct research on emerging technologies, design principles, and development frameworks to ensure software solutions remain current, innovative, and future-proof.
Provide technical guidance in software design and development activities, ensuring clean, scalable, and maintainable code following best practices and design patterns.
Oversee the lifecycle process—including design, analysis, review, and testing results—to ensure adherence to quality standards and to deliver high-quality products.
Lead the design, development, and optimization of AI/ML models for various use cases, ensuring a seamless transition into modern technologies while maintaining robust legacy infrastructure.
Perform model training, evaluation, and fine-tuning with consideration of constraints and opportunities posed by legacy architectures.
Partner with teams across functions and provide expert solutions to multiple complex technical projects/initiatives using interlocking technologies.
Quickly acquire domain knowledge and build subject matter expertise to advise and guide technical leads and peers.
Establish and drive execution of technical direction, standards, guidelines, and methodologies, while advocating best practices.
Work to improve existing test automation processes, enhancing efficiency and reducing manual intervention across both legacy and modern environments.
Develop and refine strategic and enterprise-wide technical direction.
Create or revise operating procedures relating to specific technologies or IS processes.
Lead assigned team projects and mentor junior resources as needed.