CVS Health
Lead AI Solution Architect
$107K–$261K
CT - Hartford +11 · Remote/Hybrid · Full-time · Posted Oct 28, 2026
- Location
- CT - Hartford
Work At Home-Arkansas
Work At Home-Arizona
Work At Home-New York
Work At Home-Texas
Work At Home-Georgia
Work At Home-Illinois
Work At Home-Maryland
Work At Home-Massachusetts
Work At Home-Colorado
Work At Home-Florida
Work At Home-New Jersey - Experience
- 10+ years in software engineering and architecture; 5+ years in full-stack development, databases, and cloud platforms/microservices/API design; 3+ years in AI/ML or Generative AI.
- Education
- Bachelor’s degree in computer science, information systems or related field or equivalent experience required.
About the job
Leads the architecture, implementation, and deployment of scalable, cloud-native AI-powered healthcare solutions, working across technical and business teams.
What you'll do
- Define and deliver end-to-end AI solutions; lead architectural initiatives and design reviews.
- Guide implementation and deployment, evaluate technologies, and align solutions with business needs and architecture standards.
- Mentor architects and collaborate with cross-functional teams and stakeholders.
What they ask for
- 10+ years in software engineering and architecture roles.
- 5+ years of full-stack development; 5+ years with SQL, NoSQL, MongoDB, Redis, or relevant databases; and 5+ years with cloud platforms, microservices, and API design.
- 3+ years of hands-on AI/ML or Generative AI experience; experience with DevOps tools and Kafka.
- Bachelor’s degree in computer science, information systems, or related field or equivalent experience required; healthcare workflow knowledge and ability to lead cross-functional teams.
Nice to have
- Experience with interoperability FHIR HL7 standards.
- Cloud platform experience or certification; experience with large-scale legacy-to-modern migrations.
Pay
$106,605.00 - $260,590.00 (base salary; stated as base hourly rate or base annual full-time salary)
Tools
GCP, AWS, SQL, NoSQL, MongoDB, Redis, Kubernetes, Jenkins
AI focus
Design, implement, and deploy AI/ML and Generative AI-enabled healthcare solutions and products.
Model-written summary · the original posting is authoritative