Senior Software Development Engineer - GenAI

9025 CVS Shared Services Resources LLC; Town of Texas (WI); Hybrid; USD 93,000 - 185,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Retirement savings options

Paid time off

Job summary

CVS Health is seeking a senior software engineer to join our GenAI platform efforts, building foundational services for authentication, cost governance, observability, and routing policies. You will work with a senior, collaborative team to design scalable backend systems that safely handle PHI/PII in a healthcare environment.

Responsibilities include delivering production-grade APIs, integrating with LLM providers, and contributing to secure, compliant infrastructure as we expand GenAI

Qualifications

• 5+ years of professional software engineering experience, including 2+ years building production backend services in Python and/or TypeScript/Node.js.
• Experience designing and building RESTful APIs or microservices.
• Experience integrating with LLM/AI provider APIs in production systems.

Responsibilities

• Design and build core platform services for auth, quota/cost management, observability, and routing policy.
• Help define next generation of foundational AI services while ensuring safety and compliance in healthcare.

Skills

Python

TypeScript/Node.js

RESTful APIs

LLM APIs

AWS/Azure/GCP

Redis

Kafka

MongoDB

OAuth2/JWT

Observability tools

Docker

CI/CD

Git

Education

Bachelor's degree

Tools

Redis

Kafka

MongoDB

Job description

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

Position Summary

Our team owns the foundational AI/GenAI platform services that power CVS Health's internal agentic and LLM-driven tooling — including LLM routing and cost governance infrastructure, internal developer tooling for AI-assisted software development, retrieval-augmented generation (RAG) capabilities, and orchestration tools for building and deploying agentic workflows. We sit at the intersection of platform engineering and applied GenAI: we're responsible for making it fast, safe, and cost-effective for engineering teams across the enterprise to build with LLMs, while navigating the compliance realities of operating in a healthcare environment (PHI/PII handling, HIPAA, BAA requirements with model providers). This role will design and build core platform services — spanning areas like auth, quota/cost management, observability, and routing policy — and will help define what our next generation of foundational AI services looks like as the GenAI landscape evolves. The team is deeply senior and highly collaborative; we're looking for someone who brings genuine, self-driven enthusiasm for this space — someone who explores new ideas and tools because they're excited to, not because they were asked to — while working closely with the rest of the team to bring those ideas to life.

Required Qualifications

• 5+ years of professional software engineering experience, including 2+ years building production backend services in Python and/or TypeScript/Node.js
• 2+ years of experience designing and building RESTful APIs or microservices using frameworks such as FastAPI, Flask, Express, or NestJS
• Experience integrating with one or more LLM/AI provider APIs (e.g., Anthropic, OpenAI, AWS Bedrock, Google Vertex AI) in a production system
• Experience with at least one major cloud provider (AWS, Azure, or GCP)
• Experience with the following (or equivalents): Redis, Kafka, and MongoDB in a production environment
• Experience with OAuth2/OIDC or JWT-based authentication and authorization systems
• Experience with observability/telemetry tooling (e.g., OpenTelemetry, Prometheus, Grafana, Langfuse, Datadog)
• Experience with containerized applications (Docker) and CI/CD pipelines
• Experience with version control systems (Git) and code review processes

Preferred Qualifications

• Genuine, self-motivated curiosity about GenAI and emerging AI infrastructure — someone who follows the space on their own and shows up with new ideas, tools, or approaches unprompted
• Strong team player who collaborates readily and shares ideas openly, even while operating on a team of senior engineers with established conventions
• Comfortable respectfully challenging established patterns and proposing alternatives as part of a collaborative team dynamic
• Prior experience building LLM/GenAI infrastructure itself (e.g., LLM gateways, agentic orchestration systems, RAG platforms) — not just consuming provider APIs, but designing the systems around them
• Ability to reason about system design trade-offs in distributed, stateful systems (e.g., cache invalidation, consumer group rebalancing, blue-green deployment of stateful services)
• Strong written and verbal communication skills, with the ability to explain technical trade-offs to both engineers and non-technical stakeholders
• Comfort operating with ambiguity and evolving requirements in a fast-moving technical landscape
• Experience or interest in prompt engineering, model routing strategies, or LLM cost optimization techniques
• Experience in a regulated industry (healthcare, finance, or similar), with familiarity around compliance considerations for sensitive data (PHI/PII)
• Interest in eventually growing into technical leadership on a specific platform service
• Collaborative mindset with a bias toward building reusable, well-documented internal tooling

Education

Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Analytics, Engineering, or related discipline. Master's degree preferred

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is: $92,700.00 - $185,400.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 10/09/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Our Work Experience is the combination of everything that's unique about us: our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs, but most importantly, it's our people. Our employees are self-disciplined, hard working, curious, trustworthy, humble, and truthful. They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the #1 Top Workplace in the area.