Staff Software Engineer (Agentic AI & Cloud Solutions)

CVS Health•Richardson, TX

2d•$106,605 - $260,590•Remote

About The Position

CVS Health is seeking a Staff Software Engineer specializing in machine learning solutions using Agentic AI. The role serves as an engineering leader and role model for peers and clients on the Claims Adjudication team, supporting the organization’s move toward modern AI-driven approaches. The successful candidate will lead project teams working across public cloud platforms such as Azure and GCP, on-premises systems such as IBM i, and advanced Agentic AI/ML frameworks. Remote work in the United States may be considered for the right candidate. The engineer will develop technical vision and implementation plans, design complex cloud-native software and enterprise-scale Agentic AI solutions, and establish standards for secure, scalable AI ecosystems. The role includes technical leadership across projects, collaboration with cross-functional teams, mentoring, and building domain expertise to guide technical leads and peers. This is a full-time position. The typical pay range is $106,605 to $260,590. The role may also be eligible for a CVS Health bonus, commission or short-term incentive program, and an equity award target. Benefits include medical, dental and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, subject to eligibility.

Requirements

At least 7 years of experience as a Software Engineer, or a combination of machine learning and software engineering experience.
At least 5 years leading software development projects, including setting goals, monitoring progress, tracking milestones, communicating with stakeholders, and mentoring junior developers.
At least 5 years of software development experience using tools such as Angular and Java Spring Boot, and creating cloud-native environments on platforms such as GCP, Azure, or AWS.
At least 3 years of Python programming experience.
In-depth understanding of APIs, microservices-based architecture, Git, and version control.
At least 2 years of AI and agentic solution development experience, including designing and deploying intelligent agents and autonomous workflows; integrating AI/ML models into cloud-native applications; using LLMs, vector databases, and orchestration frameworks; and applying prompt engineering, RAG, and multi-agent collaboration patterns.
Bachelor’s degree or equivalent experience.

Nice To Haves

Healthcare industry domain knowledge.
At least 5 years of Python programming experience.
Experience with enterprise development tools and methodologies such as XP and Agile, including DevSecOps and DataOps.
Experience with RxClaim or other PBM adjudication systems.

Responsibilities

Develop a vision and implementation plans to achieve project goals, considering short-, medium-, and long-term effects.
Break complex problems, processes, and 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.
Research emerging technologies, design principles, and development frameworks to keep software solutions current and future-proof.
Provide technical guidance on software design and development, promoting clean, scalable, maintainable code and best practices.
Architect and implement enterprise-scale Agentic AI solutions using MCP, RAG, reusable Skills, and multi-agent orchestration frameworks.
Design and optimize AI platforms using vector databases, semantic search, contextual retrieval, and token-efficient prompting.
Establish technical standards and best practices for MCP integrations, AI Skills, agent orchestration, memory management, and workflow automation.
Lead development of intelligent software solutions combining cloud-native architectures, AI frameworks, RAG, and agentic workflows to improve operational efficiency, developer productivity, and business outcomes.
Partner across functions and provide expert solutions for complex technical projects and initiatives involving interlocking technologies.
Acquire domain knowledge and advise and guide technical leads and peers.
Establish and drive execution of technical direction, standards, guidelines, and methodologies while advocating best practices.
Lead assigned team projects and mentor junior resources as needed.