AI/ML Solution Architect

Job Title - AI/ML Solution Architect
Experience Required - 10+ Years
Timezone - IST
Budget - 1.10 - 1.5 LPM
Work Mode - Remote

Required Skill Sets

• Solution Architecture & Design Scalable, secure SaaS architectures
• Healthcare IT Healthcare workflows, preferably Ophthalmology
• AI / GenAI AI-enabled applications, human-in-the-loop workflows
• API & Integration REST APIs, Webhooks, data exchange, middleware
• SaaS Platforms Multi-tenant/scalable SaaS implementation
• CRM & Business Systems HubSpot, scheduling, marketing & analytics platforms
• Cloud & Enterprise IT Cloud architecture, reliability, scalability
• Healthcare Security & Compliance HIPAA, data privacy, InfoSec, access controls
• Data & Workflow Architecture Data flows, end-to-end process/workflow mapping
• Technical Documentation Solution designs, integration specs, SOPs, architecture documents
• Customer/Stakeholder Management Technical discovery, pre-sales, cross-functional collaboration
• Enterprise Governance Architecture reviews, risk assessment, vendor/tool evaluation

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

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

1. Solution Design & Architecture

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

- Convert business and customer requirements into clear technical solution designs.

- Define end-to-end workflows covering chatbot interface, AI response generation, human review, clinic escalation, reporting, and system integration.

- Ensure the platform architecture supports reliability, performance, security, and future scalability.

2. Customer & Clinic Implementation Support

- Work with US ophthalmology clinics to understand their website, patient inquiry flow, appointment booking process, CRM usage, and operational workflow.

- Identify how VisioGen can be embedded into each clinic's digital ecosystem.

- Support technical discovery calls with customers, partners, and vendors.

- Prepare implementation documents, integration notes, workflow maps, and technical requirement documents.

3. Integration & API Management

- Evaluate and design integrations with clinic websites, CRMs, scheduling tools, marketing platforms, analytics tools, and communication systems.

- Work with APIs, webhooks, data exchange formats, and middleware platforms such as Zapier, HubSpot, or similar systems.

- Coordinate with internal and external development teams to ensure integrations are delivered correctly.

- Troubleshoot integration gaps and recommend practical workarounds where needed.

4. Security, Compliance & Governance

- Ensure all solution designs follow healthcare data privacy, security, and compliance expectations, including HIPAA-aligned workflows where applicable.

- Work closely with ZEISS IT, CIT, InfoSec, and compliance teams for tool approvals and architecture reviews.

- Support risk assessment, data flow documentation, access control planning, and vendor evaluation.

- Ensure AI workflows are designed with appropriate human-in-the-loop review and governance.

5. Product & Platform Enablement

- Partner with product managers to define technical feasibility for new product features.

- Provide architecture inputs for dashboards, analytics, reporting, AI workflows, and clinic-specific customization.

- Identify reusable implementation models that can reduce deployment time across multiple clinics.

- Support creation of internal playbooks, SOPs, technical FAQs, and implementation templates.

6. Cross-Functional Collaboration

- Collaborate with sales, customer success, clinical operations, engineering, product, IT, and external clinic stakeholders.

- Support pre-sales conversations by explaining technical capabilities in simple business language.

While sharing the profile of your resource, share the below details of candidates along with their original LinkedIn IDs

S.No.	Technology / Skill Area	Candidate Experience (Years)	Self Rating (Out of 10)
1	Overall Years of Experience
2	Relevant Experience
3	Solution Architecture (Enterprise SaaS)		/10
4	AI/ML Solution Architecture		/10
5	Generative AI (LLMs, RAG, AI Agents)		/10
6	Human-in-the-Loop (HITL) AI Workflows		/10
7	Healthcare Domain (HIPAA/Healthcare IT)		/10
8	Healthcare Workflow Design (Patient Journey)		/10
9	Cloud Architecture (AWS/Azure/GCP)		/10
10	REST APIs & Webhooks		/10
11	API Integration Architecture		/10
12	HubSpot / CRM Integrations		/10
13	Middleware (Zapier/iPaaS)		/10
14	Microservices Architecture		/10
15	Event-Driven Architecture		/10
16	SQL / NoSQL Databases		/10
17	Python / Node.js / Java		/10
18	SaaS Multi-Tenant Architecture