Senior AI & Cloud Software Engineer – Tech Lead

Hispanic Alliance for Career Enhancement

Hartford (CT)

On-site

USD 101,970 - 203,940

Full time

14 days+

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Benefits offered by this job

Medical coverage
Dental coverage
Vision coverage
PTO

Job summary

CVS Health is seeking a Senior Software Engineer / Technical Lead (AI & Automation) to guide the design, development, modernization, and support of critical PAOps applications under the PBM line of business. You will build scalable, cloud-native solutions for intelligent workflow automation, AI-driven decisioning, and document processing.

The ideal leader is hands-on with strong software engineering and cloud architecture expertise, experienced with Generative AI, LLMs, and AI Agents in

Qualifications

  • 5+ years of software engineering experience designing and supporting enterprise-scale applications.
  • 2+ years in a Technical Lead, Sr Engineer, or equivalent leadership role.
  • Strong Python development and modern API framework experience (FastAPI/Flask).
  • Experience designing microservices, distributed systems, and RESTful APIs.
  • Strong GCP experience and cloud-native development.

Responsibilities

  • Lead architecture, development, and production support for PAOps applications.
  • Drive cloud-native modernization and platform initiatives.
  • Oversee microservices, event-driven and streaming architectures.
  • Implement and operationalize Generative AI, LLMs, and AI Agents in production.

Skills

Leadership
Communication
Collaboration
Stakeholder management

Education

Master's degree preferred in Computer Science/AI/Data Science/Software Engineering

Tools

Python
FastAPI/Flask
Kubernetes (GKE)
Docker
CI/CD
GitHub
BigQuery
BigTable
SQL
RESTful APIs

Job description

CVS Health is seeking a Senior Software Engineer / Technical Lead (AI & Automation) to guide the design, development, modernization, and support of critical PAOps applications under the PBM line of business. You will build scalable, cloud-native solutions for intelligent workflow automation, AI-driven decisioning, and document processing.

The ideal leader is hands-on with strong software engineering and cloud architecture expertise, experienced with Generative AI, LLMs, and AI Agents in

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