AI/ML Solution Architect

Role Summary

We are looking for a Solution Architect to support the design, implementation, integration, and scaling of a human-verified AI patient engagement platform built for premium ophthalmology practices.

The role will act as a bridge between business teams, product teams, engineering, IT, customer success, and external clinic partners. The Solution Architect will be responsible for understanding clinic workflows, defining technical solution designs, supporting integrations, ensuring secure and scalable implementation, and helping convert business requirements into practical technology solutions.

This role requires a strong understanding of SaaS platforms, healthcare workflows, AI-enabled products, API integrations, data security, and enterprise IT governance.

Key Responsibilities

• Solution Design Architecture - Design scalable, secure, and clinic-ready solution architectures for VisioGen implementations.

Technology Stack

• Cloud: AWS / Azure / GCP
• Backend: Python / Node.js / Java
• APIs: REST APIs, Webhooks, API Integration
• AI/GenAI: LLMs, Generative AI, Human-in-the-Loop
• Integration: Zapier, HubSpot, Middleware/iPaaS
• Databases: SQL / NoSQL
• SaaS: Multi-tenant SaaS Architecture
• Security: HIPAA, IAM, Encryption, Data Privacy
• Architecture: Microservices, Event-driven Architecture
• DevOps: CI/CD, Docker, Kubernetes
• Data/Analytics: ETL, Reporting, Dashboards, Data Flows

Disclaimer: This job posting & Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.