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.
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
Job Description
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 the 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
Bachelor’s or Master’s in Computer Science, Engineering, or related field.
Experience
- Over 15 years total experience in Healthcare and Life Science domain with 8+ years in software architecture/design, and 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.
- Strong 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 experience with visualization tools (Power BI) and DevOps practices.