Senior Software Development Engineer AI

CVS Health

Confirmed live today High trust
Closes in 5 days Remote

Quick summary

Work type
Remote
Location
CTAZTXGAILMDCOFLPA
Salary
$83,430–$203,940 / yr
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live today
Closes
Oct 16, 2026 (soon)

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $173k
This role $144k
$67k $235k
below market most similar roles pay here above market

This role pays less than 85% of similar roles. Most pay $149,500–$196,750 — the blue band above. At the midpoint, this role pays about $144k versus about $173k 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 109 open roles on FindRole.

Listed pay typically runs $106,605–$260,590 across 107 roles with salary data.

Most-posted roles

View all roles at CVS Health

At a glance

TL;DR · Senior Software Development Engineer AI

The Senior Software Development Engineer AI will join a cross-functional team to design, develop, and operationalize advanced language model-powered applications for enterprise use cases. The role involves building text-based reasoning systems, Retrieval-Augmented Generation pipelines, and scalable prompt engineering frameworks to enhance decision-making, automation, and knowledge discovery. Key responsibilities include translating business requirements into reliable, explainable, and production-ready AI solutions while ensuring security and performance. The position requires proficiency in Python, SQL, and NLP fundamentals, with hands-on experience in LLMs, embeddings, and vector search. Candidates should utilize tools such as OpenAI, Anthropic, LangChain, LlamaIndex, and vector databases like Pinecone or Weaviate. Technical skills in FastAPI, Spark, Docker, and Kubernetes are essential for deploying microservices and managing MLOps pipelines within data-intensive enterprise environments.

What you'll do

  • Design, develop, and operationalize advanced language model-powered applications for enterprise use cases.
  • Build text-based reasoning systems and Retrieval-Augmented Generation (RAG) pipelines.
  • Create scalable prompt engineering frameworks to enhance decision-making and automation.
  • Translate business requirements into reliable, explainable, and production-ready AI solutions.
  • Ensure AI solutions are secure, responsible, and optimized for real-world performance.
  • Implement APIs, microservices, or distributed systems for AI deployment.
  • Utilize model evaluation techniques and performance metrics to benchmark LLM outputs.
  • Manage MLOps practices including CI/CD pipelines and cloud-based deployments.

What we're looking for

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.
  • Strong programming experience in Python and familiarity with software engineering best practices.
  • Hands-on experience building production-grade AI/ML systems and working with Large Language Models (LLMs) and APIs.
  • Solid understanding of NLP fundamentals and machine learning concepts like training, evaluation, overfitting, and bias.
  • Practical experience with Retrieval-Augmented Generation (RAG) systems, prompt engineering, embeddings, and vector search.
  • Experience designing and implementing APIs, microservices, or distributed systems.
  • Familiarity with model evaluation techniques, performance metrics, and debugging complex systems.
  • Experience with LLM platforms, orchestration frameworks, vector databases, MLOps, and cloud environments (preferred).

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