Staff Software Engineer, Agentic AI & Cloud Solutions

CVS Health

Confirmed live today High trust
Closes in 5 days Hybrid

Quick summary

Work type
Hybrid
Location
Richardson, TX
Salary
$106,605–$260,590 / yr
Employment
Full-time
Posted
3 days ago
Freshness
Confirmed live today
Closes
Oct 2, 2026 (soon)

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $203k
This role $184k
$88k most similar roles pay here $279k

This role pays less than 66% of similar roles. Most pay $168,305–$237,262 — the shaded band above. At the midpoint, this role pays about $184k versus about $203k for comparable roles.

Based on 240 similar postings.

Employer

About CVS Health

CVS Health is a leading American healthcare company operating retail pharmacies, pharmacy benefit management services, and a health insurance segment through Aetna, one of the nation''s largest health insurers. Industry: Healthcare & Pharmacy

CVS Health currently has 98 open roles on FindRole.

Listed pay typically runs $106,605–$260,590 across 95 roles with salary data.

Most-posted roles

View all roles at CVS Health

At a glance

TL;DR · Staff Software Engineer, Agentic AI & Cloud Solutions

Staff Software Engineer (Agentic AI & Cloud Solutions) joins the Claims Adjudication team to lead the transition toward modern, AI-driven approaches for processing claims. This role involves architecting and implementing enterprise-scale Agentic AI solutions, including multi-agent orchestration, RAG, and memory management to automate complex business processes. The engineer will design and optimize platforms using vector databases, semantic search, and token-efficient prompting while building microservices, APIs, and CI/CD pipelines. Key technologies include Python, Java Spring Boot, Angular, Git, and cloud platforms such as Azure and GCP, alongside on-prem systems like IBMi. The candidate will establish technical standards for Model Context Protocol integrations and develop intelligent software combining cloud-native architectures with advanced AI frameworks to improve operational efficiency. This role requires expertise in building autonomous workflows and integrating machine learning models into scalable, secure enterprise ecosystems.

What does a Software Engineer earn in Texas?

Median $178175 from 145 postings across 37 companies.

See salary data

What you'll do

  • Architect and implement enterprise-scale Agentic AI solutions using RAG, multi-agent orchestration, and Model Context Protocol (MCP).
  • Design and optimize AI platforms utilizing vector databases, semantic search, and token-efficient prompting strategies.
  • Develop complex software solutions for APIs, microservices, and CI/CD pipelines on Azure or GCP cloud platforms.
  • Establish technical standards and best practices for agent orchestration, memory management, and workflow automation.
  • Lead project teams by breaking down complex problems into manageable components and defining implementation plans.
  • Provide technical guidance and mentorship to junior engineers while ensuring code is scalable and maintainable.
  • Conduct research on emerging technologies and design principles to ensure software solutions remain innovative.
  • Partner with cross-functional teams to provide expert solutions for complex technical projects and initiatives.

What we're looking for

  • 7+ years of experience as a Software Engineer or combination of machine learning and software engineering with 5+ years leading software development projects.
  • 5+ years of experience developing software using tools like Angular, Java Spring boot, and creating cloud native environments in GCP, Azure, or AWS.
  • 3+ years of Python programming with an in-depth understanding of APIs, microservices-based architecture, and Git version control.
  • 2+ years of experience in AI and agentic solution development including LLMs, vector databases, RAG, and multi-agent collaboration patterns.
  • Bachelor's degree or equivalent experience.
  • Healthcare industry domain knowledge (preferred).
  • 5+ years of Python programming (preferred).
  • Experience with enterprise development tools/methodologies like XP, Agile, DevSecOps, DataOps, or PBM adjudication systems (preferred).

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