Solution Architect - MedTech AI

Job highlights

• Degree or diploma in CS,IT,Electronics,or related field,or equivalent experience. . Disclaimer: This job posting has been aggregated from external source
• Experience: 15-20 years total

Job Summary

Domain Expert - MedTech AI & Digital Health. Role overview Field Detail Job title Practice Lead - MedTech AI & Digital Health Role type Domain Expert Reporting to DU Head/Delivery Manager Focus Medical Imaging AI, SaMD, Clinical GenAI, Regulatory Compliance. Role objective Lead the MedTech practice in building AI-enabled, regulation-ready medical devices and software, from imaging AI to agentic clinical and regulatory workflows.

Key responsibilities

• Strategy: Define the MedTech AI roadmap across imaging, monitoring, and point-of-care devices.
• Tech hubs: Lead three hubs: Imaging & Computer Vision, Clinical GenAI & Regulatory Intelligence, and Connected Devices & Interoperability.
• Compliance: Embed IEC 62304, ISO 13485, ISO 14971, and GMLP into AI delivery; support FDA 510(k) and EU MDR submissions.
• Standards: Own the medical AI 'Golden Stack' and MLOps practices for validation and traceability.
• Accelerators: Build reusable assets, such as regulatory compliance assistants and imaging AI components.
• Growth: Drive pre-sales solutioning, client advisory, and thought leadership.

Mandatory skills

• Experience: 15-20 years total; at least 8 years in MedTech, including 5+ in AI/ML architecture.
• Medical imaging and computer vision: Deep learning for medical images and video (PyTorch, OpenCV).
• Production AI deployment: Model optimization and edge inference (ONNX Runtime, TensorRT, OpenVINO).
• Regulatory knowledge: IEC 62304, ISO 13485, ISO 14971, FDA 510(k).
• Healthcare standards: DICOM, PACS.
• Generative AI: LLMs, RAG, and agentic AI in production.
• Leadership: Led multi-disciplinary AI teams and senior client stakeholders.

Desired skills

• Clinical workflows: radiology, cardiology, obstetrics, ultrasound
• AI regulation: FDA AI/ML guidance, PCCP, EU MDR, EU AI Act, IEC 81001-5-1
• Interoperability: HL7 v2, FHIR, EHR integration
• MONAI, NVIDIA Clara/Holoscan, Orthanc
• Cloud healthcare services and MLOps (MLflow, Kubeflow)
• Publications, patents, or open-source work in medical AI

Tech stack expectations

• Area Technologies: Imaging AI PyTorch, MONAI, YOLO, MedSAM
• Inference: ONNX Runtime, TensorRT, OpenVINO
• GenAI: Llama, Mistral, GPT, Gemini, Claude; LangChain/LangGraph; vector DBs
• Platform: Python, C++, FastAPI, Docker, Kubernetes

Education and qualifications

Degree or diploma in CS, IT, Electronics, or related field, or equivalent experience.

Disclaimer: This job posting 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.