Senior Software Development Engineer

CVS Health • Irving, TX

3d • $92,700 - $222,480

About The Position

The Senior Software Engineer will design, build, and ship production-grade AI-powered products and the software and data foundations behind them. The role works with engineering, analysts, data scientists, and product teams in a fast-paced, agile environment, using AI/ML and generative AI to reimagine healthcare delivery. It spans the full lifecycle of AI solutions, including data pipelines, feature and vector stores, LLM-powered backend services and agentic workflows, and user-facing applications, built on cloud-native, AI-ready architectures.

The position requires 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.

Requirements

• At least 6 years of professional software engineering experience, including strong full-stack application development experience and a track record of delivering AI/ML-enabled solutions to production.
• Proficiency in at least one modern backend language, such as Python, Java, or Node.js/TypeScript, and one modern front-end framework, such as React, Angular, or Vue.
• Hands-on experience building and deploying agentic AI solutions in complex cloud infrastructure environments, including orchestration frameworks such as LangChain or LangGraph and integration with LLM APIs.
• Experience building data pipelines for ML/AI workloads, including feature engineering, embedding generation, and integration with vector databases for RAG use cases.
• Experience designing and building RESTful APIs and microservices, including authentication and authorization, API security, service-to-service integration, and serving AI/LLM capabilities through APIs.
• At least 6 years of experience with SQL and relational database management systems, including schema design and query optimization.
• At least 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.
• Experience with CI/CD, containerization such as Docker and 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 ability to take ownership in a fast-paced, collaborative, team-based environment.
• Excellent oral and written communication skills, including ability to explain complex technical and AI concepts to non-technical stakeholders.
• Bachelor’s degree in Computer Science, Engineering, or a related field.

Nice To Haves

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

Responsibilities

• Design, build, and deploy agentic AI systems and LLM-powered applications, including multi-step workflows, tool use, and orchestration.
• Develop end-to-end retrieval-augmented generation (RAG) solutions, including ingestion, chunking, embedding generation, vector indexing, retrieval tuning, and grounding model responses.
• Design, build, and maintain data pipelines, data models, feature stores, and vector stores that support analytics, ML, and generative-AI workloads.
• Build full-stack applications that expose AI capabilities to users, including responsive front-end interfaces, backend services, and RESTful or GraphQL APIs.
• Integrate applications with LLM APIs, relational databases, data platforms, and vector databases; optimize data access patterns, latency, and token or inference cost.
• Implement MLOps and LLMOps practices, including model and prompt versioning, evaluation pipelines, quality, drift, and hallucination monitoring, 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 data quality, model behavior, API performance, and user-interface 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, including HIPAA, and apply responsible AI practices such as guardrails, PHI/PII protection, auditability, and human-in-the-loop controls.

Benefits

• Medical coverage
• Dental coverage
• Vision coverage
• Paid time off
• Retirement savings options
• Wellness programs
• Other resources, based on eligibility
• Eligible for a CVS Health bonus, commission, or short-term incentive program in addition to base pay

What This Job Offers

• Job Type: Full-time
• Career Level: Senior