CVS Health

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 / Technical Lead (AI & Automation) will provide technical leadership for the design, development, modernization, and support of critical applications supporting Prior Authorization Operations (PAOps) under PBM line of business. This role will be responsible for building and maintaining scalable, cloud-native solutions that enable intelligent workflow automation, AI-driven decisioning, document processing, and business process optimization.

The ideal candidate is a hands-on technical leader with strong software engineering and cloud architecture expertise, coupled with practical experience implementing Generative AI, Agentic AI, and Large Language Model (LLM) solutions in production environments. This individual will collaborate closely with Data Engineering, Data Science, Product, and Business teams to deliver highly available, secure, and scalable applications while driving innovation through AI-powered solutions.

Key areas of focus include:

• Application architecture, development, and production support
• Cloud-native engineering and platform modernization
• Microservices and distributed systems
• AI/GenAI, Agentic AI, and LLM-based solutions
• Event-driven and streaming architectures
• Engineering best practices, mentoring, and technical leadership

Required Qualifications

• 5+ years of software engineering experience, including designing and supporting enterprise-scale applications.
• 2+ years of experience serving as a Technical Lead, Sr Engineer, or equivalent technical leadership role.
• Strong expertise in Python application development and modern API frameworks such as FastAPI, Flask, or similar technologies.
• Experience designing and implementing microservices, distributed systems, and RESTful APIs.
• Strong experience with Google Cloud Platform (GCP) and cloud-native application development.
• Hands-on experience with:
  • Kubernetes (GKE)
  • Docker/Containerization
  • CI/CD pipelines and DevOps practices
  • GitHub and modern source control practices
• Experience developing and supporting event-driven and streaming solutions using technologies such as Kafka or similar messaging platforms.
• Experience working with cloud-native data technologies including BigQuery, BigTable, SQL, and large-scale data processing solutions.
• Strong understanding of software architecture, design patterns, system reliability, performance optimization, and observability.
• Hands-on experience implementing and operationalizing:
  • Generative AI solutions
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • AI Agents and Agentic AI workflows
  • Prompt engineering and model evaluation frameworks
• Experience integrating enterprise applications with AI platforms such as Gemini, Vertex AI, OpenAI, Claude, or similar technologies.
• Strong analytical, troubleshooting, and production support skills.
• Excellent communication, collaboration, and stakeholder management skills.

Preferred Qualifications

• Experience in healthcare, pharmacy benefit management (PBM), utilization management, or prior authorization operations.
• Experience building AI-powered workflow automation and decision-support systems.
• Experience deploying and managing AI applications within regulated environments.
• Familiarity with MLOps, AI governance, model monitoring, and responsible AI practices.
• Experience with cloud migration and modernization initiatives.
• Experience leading architecture reviews, mentoring engineers, and driving engineering best practices across teams.
• Exposure to document intelligence, OCR, intelligent automation, and business process automation platforms.
• Experience with healthcare data standards, secure data processing, and compliance requirements.

Education

• Master's Degree preferred in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
• Relevant industry certifications in Cloud Computing, Kubernetes, AI/ML, or Software Architecture (e.g., Google Cloud Professional certifications, Kubernetes certifications, AI/ML certifications).

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 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: 09/30/2026

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