AI Software Engineer

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

Position Summary:

CVS Health is seeking a hands-on, passionate, and forward-thinking Software Development Engineer 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.

In this role, you will:

• 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.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and APIs using Python and FastAPI.
• Integrate and orchestrate LangChain 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 DevOps 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.

Required Qualifications:

• 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 LangChain, 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 DevOps tools such as Docker, Kubernetes, GitHub Actions, Jenkins, etc
• 3+ years Experience with cloud platforms (AWS, Google Cloud Platform, or Azure)
• Strong understanding of application security, including authentication, authorization, and vulnerability mitigation
• 3+ years coding in Python/PySpark, Java Springboot, NoSQL, SQL, and LLM modeling

Preferred Qualifications:

• 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, Google Cloud Platform and AWS

Education:

• Bachelor's degree or equivalent experience (Highschool diploma plus 4 years relevant work experience)

Anticipated Weekly Hours
40

Time Type
Full time

Pay Range

The typical pay range for this role is:

$101,970.00 - $203,940.00

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 our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

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We anticipate the application window for this opening will close on: 10/03/2025

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