Lead AI Solutions Architect - Cloud Health Tech

CVS Health; Boston (MA); On-site; USD 107,000 - 261,000; Full time

Benefits offered by this job

Bonus program

Comprehensive benefits

Job summary

CVS Health is seeking an experienced Solution Architect to lead the design, implementation and deployment of cloud-native, AI-powered healthcare solutions. This hands-on leader collaborates with product, architecture, engineering, data, and business teams to transform ideas into scalable, production-ready systems.

The role focuses on guiding product strategy, defining solution architecture, overseeing implementation, and ensuring successful deployment of AI-enabled platforms.

Qualifications

• 10+ years in software engineering and architecture roles.
• Experience with cloud platforms (GCP/AWS) and microservices.
• Strong SQL/NoSQL experience (MongoDB, Redis).
• Hands-on with AI/ML or Generative AI technologies.

Responsibilities

• Identify, define, and execute end-to-end AI-enabled strategic solutions.
• Lead architectural initiatives within projects or areas.
• Develop designs ensuring standards and best practices.
• Mentor junior and senior architects in tasks.
• Collaborate with cross-functional teams to deliver architecture solutions.
• Communicate with stakeholders to align needs with delivery.
• Evaluate new technologies and advocate their adoption.

Skills

Architecture leadership

Non-functional requirements

Full stack development

API design

Healthcare domain knowledge

Stakeholder management

Java and Python

Angular front-end

Education

Bachelor's degree in computer science or related field

Tools

Kubernetes

Docker

Kafka

Git

Jenkins

Spring Boot

Angular

REST APIs

Job description

CVS Health is seeking an experienced Solution Architect to lead the design, implementation and deployment of cloud-native, AI-powered healthcare solutions. This hands-on leader collaborates with product, architecture, engineering, data, and business teams to transform ideas into scalable, production-ready systems.

The role focuses on guiding product strategy, defining solution architecture, overseeing implementation, and ensuring successful deployment of AI-enabled platforms.