Senior Software Engineer - AI & Cloud Platforms

CVS Health•Wellesley, MA

1d•$111,240 - $222,480

About The Position

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. Do you want to drive the next level of growth for a leading national B2C healthcare brand, impacting millions of prospects and members? We're looking for a hands-on senior engineer who loves building things — smart applications, powerful APIs, and AI-driven solutions that work in production. You'll help shape how we design and deliver software across the enterprise, and you'll play a key role in bringing Generative AI from concept to reality.

Requirements

3+ years building enterprise or cloud-based software
3+ years of experience using with Python/R and/or JAVA for data analysis
2+ years with CI/CD (GitHub Actions preferred)
2+ years on GCP, Azure, or AWS
2+ years shipping AI/ML or GenAI solutions in production
1+ years with FastAPI, Flask, or Spring Boot
1+ years building UIs with React
Hands-on experience calling LLM APIs
Hands-on experience in AI orchestration frameworks (LangChain, LangGraph, LlamaIndex, CrewAI, etc.)
Hands-on experience building RAG pipelines and integrating vector databases
Solid prompt engineering skills
Docker & Kubernetes deployment experience

Nice To Haves

Experience with relational/NoSQL databases and knowledge of GCP cloud stores(Spanner , BigTable)
Experience with MLOps / LLMOps practices, data engineering, analytics engineering, machine learning, NLP, or transformer model concepts
Experience with non-relational datastores like BigQuery
Experience with Claude, Azure OpenAI, Vertex AI, OpenAI, or Gemini
Experience with multi-agent AI architectures
Experience with Message Queueing or Pub/Sub systems
Knowledge of UI design tools such as Figma
Experience with Scrum/Agile development methodologies

Responsibilities

Design and deliver real-world GenAI solutions — chatbots, document intelligence tools, AI assistants, and more.
Implement Retrieval-Augmented Generation (RAG) pipelines that combine AI reasoning with organization’s own data.
Build and coordinate AI agents using frameworks like LangChain, LangGraph, LlamaIndex, CrewAI, or Semantic Kernel.
Connect to leading AI platforms: Azure OpenAI, Google Vertex AI, Anthropic Claude, OpenAI, or Gemini.
Write and refine prompts and design patterns that make LLMs perform reliably in production.
Monitor, evaluate, and govern AI systems — tracking quality, safety, and compliance.
Own the technical design of cloud-native applications — from front-end interfaces to back-end services and everything in between.
Build responsive web UIs using React or Angular that are fast, scalable, and user-friendly.
Design and build REST APIs using Python (FastAPI or Flask) or Java (Spring Boot).
Build and test prototypes quickly to enable rapid iteration and experimentation.
Package and run applications on Google Cloud using containers and Kubernetes (GKE).
Lead technical conversations and help others grow through code reviews and mentoring.
Work in Agile sprints, contribute to CI/CD pipelines (GitHub Actions), and ship reliable software continuously.
Guide team on good engineering practices — clean code, security, testing, and architecture.