Software Engineer Lead - Interoperability

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.

CVS Health is seeking a hands‑on, passionate, and forward‑thinking Software Development Engineer/Lead to join a dynamic and rapidly evolving team at the forefront of digital health innovation. This role is ideal for individuals who are excited about building AI‑driven capabilities and leveraging emerging technologies such as generative AI, agentic AI, and intelligent automation to transform the future of healthcare.

As part of the Aetna Technology organization, you will contribute to the design and development of next‑generation platforms and intelligent systems that power our suite of clinical and interoperability products. Your work will directly support the creation of AI‑enabled solutions that enhance patient outcomes, streamline healthcare delivery, and personalize the customer experience.

• Lead the development of scalable software systems that integrate generative AI models, autonomous agents, and machine learning pipelines
• Collaborate with cross‑functional teams to identify opportunities for AI‑first innovation across digital health products
• Drive the adoption of AI engineering best practices, including prompt engineering, model fine‑tuning, and responsible AI governance
• Facilitate technical discussions between Application Architects and developers to ensure AI capabilities are embedded into the design and architecture of new solutions
• Stay current with advancements in AI and emerging technologies, and translate them into actionable strategies for product development

This is a unique opportunity to shape the future of healthcare by building intelligent systems that empower people to live healthier lives.

• Design, develop, and maintain scalable data pipelines and APIs using Python and FastAPI.
• Integrate and orchestrate Lang Chain and LLM‑based services into production environments.
• Build robust data preprocessing workflows for structured and unstructured data.
• Develop and maintain integrations with external and internal RESTful services.
• Collaborate with ML engineers, data scientists, and product teams to deliver end‑to‑end AI solutions.
• Implement Dev Ops best practices including CI/CD pipelines, containerization (Docker).
• Identify and resolve security vulnerabilities in data services and APIs.
• Monitor and optimize system performance, reliability, and scalability.

• 5+ years of experience in software/data engineering with a focus on backend development.
• Strong proficiency in Python and experience with FastAPI for building APIs.
• Hands‑on experience with Lang Chain, LLMs (e.g., OpenAI, Vertex AI, Hugging Face Transformers), and vector databases.
• Solid understanding of REST API design and integration.
• Experience with data preprocessing, ETL/ELT pipelines, and working with large datasets.
• Familiarity with Dev Ops tools such as Docker, Kubernetes, Git Hub Actions, Jenkins, etc.
• 3+ years Experience with cloud platforms (AWS, GCP, or Azure).
• Strong understanding of application security, including authentication, authorization, and vulnerability mitigation.
• 3+ years coding in Python/PySpark, Java Springboot, No
  
  SQL, SQL, and LLM modeling.

• Experience with streaming data frameworks (e.g., Kafka, Spark Streaming).
• Familiarity with data governance and compliance standards (e.g., PHI, PII, HIPAA).
• Contributions to open‑source projects in the AI/ML or data engineering space.
• Experience with Prompt Engineering developing solutions leveraging LLM models.
• 3+ years coding in Python/PySpark, SQL, and LLM modeling.
• 3+ years in cloud‑based platforms such as Azure, GCP and AWS.

• Bachelor's degree preferred/specialized training/relevant professional qualification.

The Typical Pay…