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
40Time Type
Full timePay Range
The typical pay range for this role is:
$92,700.00 - $203,940.00This 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.
Additional details about available benefits are provided during the application process and on Benefits Moments.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Skills Required
- 5+ years of software engineering experience designing and supporting enterprise-scale applications
- 2+ years serving as a Technical Lead, Senior Engineer, or equivalent technical leadership role
- Strong Python application development experience with FastAPI, Flask, or similar API frameworks
- Experience designing and implementing microservices, distributed systems, and RESTful APIs
- Strong Google Cloud Platform and cloud-native application development experience
- Hands-on experience with Kubernetes, GKE, Docker or containerization, CI/CD, DevOps, and GitHub
- Experience with event-driven and streaming solutions using Kafka or similar messaging platforms
- Experience with BigQuery, Bigtable, SQL, and large-scale data processing technologies
- Understanding of software architecture, design patterns, reliability, performance optimization, and observability
- Hands-on experience implementing and operationalizing Generative AI, LLMs, RAG, AI agents, prompt engineering, and model evaluation frameworks
- Experience integrating enterprise applications with Gemini, Vertex AI, OpenAI, Claude, or similar AI platforms
- Strong analytical, troubleshooting, production support, communication, collaboration, and stakeholder management skills
- Experience in healthcare, pharmacy benefit management, utilization management, or prior authorization operations
- Experience building AI-powered workflow automation and decision-support systems
- Experience deploying and managing AI applications in 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
- Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related field
- Relevant certifications in cloud computing, Kubernetes, AI/ML, or software architecture
CVS Health Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about CVS Health and has not been reviewed or approved by CVS Health.
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Healthcare Strength — Health coverage includes medical, dental, and vision with HSA-eligible options, free preventive care, virtual care, and access to MinuteClinic services. Mental-health resources such as counseling support are emphasized, and coverage is often considered solid for full-time colleagues.
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Retirement Support — A dollar-for-dollar 401(k) match up to 5% after one year and an Employee Stock Purchase Plan are consistently highlighted in Total Rewards materials. Feedback suggests retirement programs are a meaningful strength within the overall package.
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Wellbeing & Lifestyle Benefits — Wellbeing offerings include up to 20 no-cost counseling sessions per issue, backup care, tuition assistance, and substantial in-store discounts, alongside broader wellness tools. These everyday perks expand value beyond base pay and can be especially meaningful for full-time schedules.
CVS Health Insights
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What We Do
CVS Health is the leading health solutions company that delivers care in ways no one else can. We reach people in more ways and improve the health of communities across America through our local presence, digital channels and our nearly 300,000 dedicated colleagues – including more than 40,000 physicians, pharmacists, nurses and nurse practitioners. Wherever and whenever people need us, we help them with their health – whether that’s managing chronic diseases, staying compliant with their medications, or accessing affordable health and wellness services in the most convenient ways. We help people navigate the health care system – and their personal health care – by improving access, lowering costs and being a trusted partner for every meaningful moment of health. And we do it all with heart, each and every day.
