Senior Software Engineer - AI & Cloud Platforms

• Build with Generative AI

· GenAI: Design and deliver real-world GenAI solutions - chatbots, document intelligence tools, AI assistants, and more.

· RAG: Implement Retrieval-Augmented Generation (RAG) pipelines that combine AI reasoning with organization’s own data.

· Agents: Build and coordinate AI agents using frameworks like LangChain, LangGraph, LlamaIndex, CrewAI, or Semantic Kernel.

· Platforms: Connect to leading AI platforms: Azure OpenAI, Google Vertex AI, Anthropic Claude, OpenAI, or Gemini.

· Prompt Engineering: Write and refine prompts and design patterns that make LLMs perform reliably in production.

· AI Governance: Monitor, evaluate, and govern AI systems - tracking quality, safety, and compliance.

• Build & Design Software

· 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 & Collaborate

· 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.

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., * 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, * 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

Education

• Bachelor’s degree in Computer Science, Engineering, Machine Learning, or related discipline
• Master’s degree in above fields preferred

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.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

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.