Senior Full Stack AI ML Engineer

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.

We are seeking a Senior Full Stack Developer with demonstrated experience building AI/ML-powered applications and a strong interest in network automation to join our Network Transformation and Automation AI team. In this role, you'll design and develop intelligent web applications that leverage modern AI capabilities while gradually expanding into network automation and infrastructure optimization.

• Design and build scalable full‑stack and automation applications using modern frameworks (React, Angular, Node.js, Python) with a focus on performance, security, and reliability
• Develop and operationalize AI/ML models to enhance network performance, predict issues, and detect anomalies before they impact operations
• Create intelligent chatbots and conversational AI solutions (OpenAI, Azure AI, Dialogflow) to automate network support, incident resolution, and knowledge retrieval
• Lead network automation and data engineering efforts by integrating APIs, orchestrating workflows (Ansible, Terraform, Cisco NSO), and transforming telemetry data into actionable insights
• Enable end‑to‑end Dev Ops and cross‑functional collaboration by implementing CI/CD pipelines, containerizing applications (Docker, Kubernetes), and partnering across Network, Cloud, AI, and Security teams to drive innovation

• 7+ years of professional software development experience using Python, JavaScript/Type Script
• 2+ years integrating ML models into production applications (not just training models in notebooks) using frameworks like Tensor Flow, PyTorch or Scikit-learn
• Proven track record delivering scalable web applications in production environments
• 2+ years hands‑on experience with at least one major cloud platform: AWS, Azure, or GCP
• 2+ years experience with SQL databases (Postgre
  
  SQL, MySQL, or similar) and No
  
  SQL databases (Mongo
  
  DB, Redis, or Dynamo
  
  DB)

• Experience building conversational AI solutions, including chatbots, LLMs, prompt engineering, RAG pipelines, and working with vector databases
• Background in MLOps practices such as model versioning, monitoring, and experiment tracking using tools like MLflow or Weights & Biases
• Understanding of networking fundamentals and hands‑on exposure to network automation tools, Cisco technologies, or infrastructure‑as‑code frameworks
• Proficiency with modern technical tools and frameworks, including testing libraries (pytest, Jest), Kubernetes, data pipelines (Airflow, Kafka), and real‑time application technologies
• Familiarity with monitoring and observability platforms such as Grafana, Prometheus, ELK stack, or Datadog

• Bachelor’s degree in Computer Science or related field, or equivalent experience (HS diploma + 4 years relevant experience)

$ - $

The Typical Pay Range For This Role Is $ - $. 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.

This position also includes an award target in the company’s equity award program.

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.

For more information, visit

We anticipate the application window for this opening will close on: 03/14/2026

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