Senior Software Engineer (AI/ML & Agentic)

CVS Health•Richardson, TX

2d•$83,430 - $203,940•Remote

About The Position

CVS Health is seeking a Senior Agentic AI 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 and advanced Agentic AI 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

5+ years of experience as a ML engineer or Full Stack with AI with 3+ years leading software development projects, including setting project goals, monitoring progress, tracking milestones, communicating with stakeholders, and mentoring junior developers
5+ years of Python programming with In-depth understanding of APIs and microservices-based architecture and Git and version control
2+ 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

5+ years of experience in full stack development with an exposure to Angular & Spring boot implementation
2+ years of experience in developing CI pipeline and deploying application in GCP
Health care industry domain knowledge
Experience with enterprise development tools and methodologies (XP, Agile), including DevSecOps and DataOps
Experience with RxClaim or other PBM adjudication systems

Responsibilities

Able to understand the 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.