Senior AI Cloud Architect & Microservices Lead

Beth Israel Lahey Health; Boston (MA); On-site; USD 118,000 - 160,000; Full time

Job summary

Beth Israel Lahey Health seeks a Senior AI Application Developer to design, build, test, and support AI-enabled software across web, mobile, and cloud-native platforms. You will mentor peers, lead architecture discussions, and ensure secure, scalable solutions in Azure, AWS, and GCP environments.

The role emphasizes collaboration with clinical and operational stakeholders, delivering AI-driven features and automated workflows while maintaining legacy systems and modernizing applications.

Qualifications

• Bachelor's degree in computer science, IT, or related field.
• 5+ years in software engineering or related fields.
• 3–5+ years building cloud-native and AI-enabled apps.
• 1+ year in technical leadership roles.

Responsibilities

• Leverages AI app development, cloud-native architectures, and secure practices.
• Designs, develops, and integrates AI-enabled apps, APIs, and microservices.
• Leads PoCs for AI models, cloud services, and automation technologies.
• Collaborates with product, data/ cloud engineering, and stakeholders.
• Gathers and validates requirements aligning business goals with AI use.
• Creates development estimates, plans, and schedules.
• Troubleshoots, debugs, and maintains documentation for apps and cloud components.
• Mentors junior developers in AI agent integration and cloud architecture.
• Engages in code reviews to ensure secure, scalable solutions.

Skills

Cloud platforms

GenAI integration

APIs & microservices

DevOps & CI/CD

Security by design

Windows & Linux

On-call support

Education

Bachelor's degree in Computer Science or related field

Tools

AWS

Azure

GCP

Kubernetes

Docker

Azure DevOps

Power Platform

AWS Bedrock

Job description

Beth Israel Lahey Health seeks a Senior AI Application Developer to design, build, test, and support AI-enabled software across web, mobile, and cloud-native platforms. You will mentor peers, lead architecture discussions, and ensure secure, scalable solutions in Azure, AWS, and GCP environments.

The role emphasizes collaboration with clinical and operational stakeholders, delivering AI-driven features and automated workflows while maintaining legacy systems and modernizing applications.