Company: HCPONE

Website: Visit Website

Business Type: Startup

Company Type: Service

Business Model: B2B

Funding Stage: Pre-seed

Industry: Technology

Salary Range: ₹ 35-45 Lacs PA

Business Overview: We are seeking a seasoned AI Digital Architect with deep healthcare domain expertise to lead the design, development, and governance of enterprise-wide technology solutions. This role is critical in aligning technology with business goals, regulatory compliance, and patient care excellence.

Purpose of the role: As an AI Digital Architect for medical devices, you will design and implement cutting-edge digital solutions that integrate AI/ML capabilities into connected medical device ecosystems. This role is pivotal in shaping the architecture for mobile, desktop, and cloud platforms that enable remote monitoring, predictive analytics, and operational insights for healthcare professionals worldwide.

Key Responsibilities

- Architect Digital Platforms:

Design and develop scalable, secure, and high-performance digital solutions for a global installed base of portable medical devices.
- AI Integration:

Incorporate AI/ML models for predictive maintenance, operational analytics, and clinical decision support.
- Connectivity & IoT:

Enable device connectivity, remote support, and over-the-air firmware updates across multiple platforms (desktop, mobile, cloud).
- Technology Leadership:

Assess requirements, select appropriate architecture patterns, and define tech stacks for front-end and back-end systems.
- Collaboration:

Work closely with cross-functional teams including R&D;, data scientists,



and product managers to translate business needs into technical solutions.
- Compliance & Security:

Ensure adherence to regulatory standards (FDA, ISO) and implement robust cybersecurity measures for medical data Key Performance Indicators (KPIs) for the role: Over next 12 months this role’s success gets measured on:

- Successful delivery of enterprise architecture roadmaps
- Compliance with healthcare regulations and standards
- Quality and scalability of integrated solutions
- Stakeholder satisfaction and engagement
- Adoption of architecture standards and governance practices
- Win rate of key proposals involving solution architecture

Education Required Qualifications Bachelor’s or Master’s in Computer Science, Engineering, or related field.

Experience

- Over all 15 + yrs exp in Healthcare and Life science Domain with 8+ years in software architecture/design, with at least 3 years in AI/ML-based solutions.
- Proven experience in digital platforms for medical devices or healthcare technology.

Technical Skills:

- Expertise in cloud platforms (Azure/AWS), microservices architecture, and API design.
- Solid knowledge of AI/ML frameworks (TensorFlow, PyTorch) and data pipeline tools.
- Familiarity with IoT protocols and device connectivity solutions.

Soft Skills Excellent communication, stakeholder management, and ability to lead technical teams.

Preferred Skills

- Experience with LLM orchestration frameworks (e.g., LangChain, Semantic Kernel).
- Knowledge of regulatory compliance for medical software.
- Hands-on with visualization tools (Power BI) and DevOps practices.

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