Senior Software Development Engineer

CVS Health; Irving (TX); On-site; USD 93,000 - 222,000; Full time

Job summary

CVS Health is seeking a Senior Software Engineer to design, build, and deploy AI-powered products and the data foundations behind them. You’ll work with engineers, data scientists, and product teams in a fast-paced agile environment on full stack and data solutions for production GenAI use cases.

The role covers data pipelines, feature stores, and vector stores; you’ll implement MLOps/LLMOps, CI/CD, and observability across AI services while ensuring security, privacy, and regulatory compliance

Qualifications

• 6+ years of professional software engineering with AI/ML production delivery.
• Proficiency in at least one modern backend language (Python/Java/Node.js/TypeScript) and one frontend framework (React/Angular/Vue).
• Hands-on experience building Agentic AI solutions in cloud infrastructures with LangChain and LangGraph.
• Experience building data pipelines for ML/AI workloads and vector DB integrations for RAG.
• Experience designing RESTful APIs and microservices with authentication/authorization and API security.
• 6+ years of SQL and relational DB design and query optimization.
• 3+ years of cloud platforms and data engineering tools (AWS/GCP/Azure/Databricks/Snowflake).
• Familiarity with MLOps/LLMOps, model versioning, monitoring, and production pipelines.
• Experience with CI/CD, Docker, Kubernetes, Git workflows, and automated testing.
• Hands-on debugging, performance optimization, and production issue resolution across data, backend, frontend, and AI layers.
• Willingness to drive process improvements and own outcomes in a fast-paced, collaborative environment.
• Excellent communication skills for technical and non-technical stakeholders.

Responsibilities

• Design, build, and deploy agentic AI systems and LLM apps with multi-step workflows.
• Develop end-to-end RAG solutions: ingestion, chunking, embeddings, vector indexing, retrieval tuning.
• Build data pipelines, feature stores, and vector stores for analytics and ML workloads.
• Create full stack apps exposing AI features via chat/copilot UIs, APIs, and frontend interfaces.
• Integrate with LLM APIs, relational databases, and data platforms; optimize latency and costs.
• Implement MLOps/LLMOps practices including versioning, evaluation, monitoring, and release workflows.
• Establish CI/CD, test automation, IaC, and observability across apps and AI services.
• Troubleshoot production issues across data, AI, and UI layers; improve reliability and UX.
• Mentor engineers, participate in design reviews, and promote AI best practices.
• Collaborate with product, design, analytics, and data science to deliver AI-enabled solutions.
• Ensure HIPAA-compliant, secure, private, and auditable AI systems.

Skills

Software engineering

Backend development

Frontend development

LangChain

LangGraph

Data pipelines

REST APIs

SQL

Cloud platforms

MLOps

Docker

Kubernetes

CI/CD

Debugging

Performance optimization

Process improvement

Communication

Healthcare data

GenAI UI

Prompt engineering

Responsible AI

Event-driven

Infrastructure as code

AI coding tools

Education

Bachelor's degree in Computer Science/Engineering

Tools

LangChain

LangGraph

Pinecone/Weaviate/pgvector

AWS/GCP/Azure

Databricks/Snowflake

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

The Senior Software Engineer will design, build, and ship production grade AI powered products and the software and data foundations behind them. You will work with engineering, analysts, data scientists, and product teams in a fast paced, agile environment, using AI/ML and GenAI to reimagine how healthcare is delivered. The role spans the full lifecycle of an AI solution: data pipelines, feature and vector stores, LLM powered backend services and agentic workflows, and user facing applications. You will build these on cloud native, AI ready architectures. The Senior Software Engineer is expected to have extensive knowledge of modern programming languages and frameworks, and experience designing and developing full stack and data solutions that support machine learning and generative AI use cases at production scale.

Key Responsibilities

• Design, build, and deploy agentic AI systems and LLM powered applications, including multi step workflows, tool use, and orchestration with frameworks such as LangChain and LangGraph.
• Develop retrieval augmented generation (RAG) solutions end to end, including ingestion, chunking, embedding generation, vector indexing, retrieval tuning, and grounding of model responses.
• Design, build, and maintain the data pipelines, data models, feature stores, and vector stores that feed analytics, ML, and GenAI workloads.
• Build full stack applications that expose AI capabilities to users, including responsive front end interfaces (e.g., chat and copilot experiences), backend services, and RESTful/GraphQL APIs.
• Integrate applications with LLM APIs, relational databases, data platforms, and vector databases, and optimize data access patterns, latency, and token/inference cost.
• Implement MLOps/LLMOps practices, including model and prompt versioning, evaluation pipelines, monitoring for quality, drift, and hallucination, and automated release workflows.
• Implement CI/CD pipelines, automated testing (including AI evaluation and regression testing), infrastructure as code, and observability across applications, data pipelines, and AI services.
• Troubleshoot and resolve production issues across the stack, from data quality and model behavior to API performance and UI experience.
• Apply AI assisted development tools to improve engineering productivity, code quality, and delivery speed, and help establish team standards for their use.
• Participate in design and code reviews, mentor junior engineers, and champion engineering and AI best practices.
• Partner with product owners, designers, analysts, and data scientists to translate business needs into AI enabled technical solutions.
• Ensure solutions meet security, privacy, and compliance standards (e.g., HIPAA), and apply responsible AI practices including guardrails, PHI/PII protection, auditability, and human in the loop controls.

Required Qualifications

• 6+ years of professional software engineering experience, with strong experience building full stack applications and a track record of delivering AI/ML enabled solutions to production.
• Proficiency in at least one modern backend language (e.g., Python, Java, Node.js/TypeScript) and one modern front end framework (e.g., React, Angular, Vue).
• Hands on experience building and deploying Agentic AI solutions in complex cloud infrastructure environments, including orchestration frameworks (e.g., LangChain, LangGraph) and integration with LLM APIs.
• Experience building data pipelines to support ML/AI workloads, including feature engineering, embedding generation, and integration with vector databases (e.g., Pinecone, Weaviate, pgvector) for RAG use cases.
• Experience designing and building RESTful APIs and microservices, including authentication/authorization, API security, and service to service integration, with experience serving AI/LLM capabilities through APIs.
• 6+ years of experience working with SQL and relational database management systems, including schema design and query optimization.
• 3+ years of experience with cloud platforms and data engineering platforms such as AWS, GCP, Azure, Databricks, or Snowflake.
• Familiarity with MLOps/LLMOps practices, model versioning, monitoring, and pipeline support for production ML/AI systems (e.g., Vertex AI, SageMaker, Azure ML).
• Experience with CI/CD, containerization (Docker, Kubernetes), Git based workflows, and automated testing practices.
• Hands on experience troubleshooting data, application, and AI system issues.
• Hands on experience with performance improvement techniques across data, backend, front end, and AI inference layers.
• Willingness to identify and implement process improvements and best practices, and the ability to take ownership in a fast paced, collaborative, team based environment.
• Excellent oral and written communication skills, including the ability to translate complex technical and AI concepts for non technical stakeholders.

Preferred Qualifications

• Familiarity with healthcare data and healthcare insurance feeds.
• Experience building conversational or GenAI enabled user interfaces (e.g., chat or copilot experiences).
• Experience with prompt engineering, model evaluation frameworks (e.g., LLM as judge, golden datasets), and techniques such as fine tuning or model optimization.
• Exposure to AI governance and responsible AI practices in a regulated (e.g., healthcare) environment.
• Experience with event driven and streaming architectures (e.g., Kafka, Pub/Sub).
• Experience with infrastructure as code (e.g., Terraform) and observability tooling for applications and AI systems.
• Experience using AI coding assistants and agentic developer tools in day to day engineering.

Education

Bachelor's degree in Computer Science, Engineering, or a related field.

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is: $92,700.00 - $222,480.00 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.

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. 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: 01/01/2027

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

Our Work Experience

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.