Senior Chief Architect / Engineer – Medical Imaging Visualization & GenAI

Role Summary

We are seeking a Senior Chief Architect / Engineer to lead the architecture, design, and implementation of next-generation medical imaging visualization platforms integrated with Generative AI and Agentic AI capabilities.

This role blends deep hands-on engineering, system architecture ownership, and technical leadership across enterprise-scale RIS, PACS, VNA, and AI-driven clinical applications. The ideal candidate will shape the long-term technical vision while remaining actively involved in critical design and code decisions.

Key Responsibilities

1. Architecture & Technical Leadership

• Define and own the end-to-end architecture for:

  • Medical imaging viewers (2D, 3D, MPR, MIP, Volume Rendering)

  • Enterprise imaging platforms (RIS–PACS–VNA)

  • AI/GenAI-enabled clinical and operational workflows

• Drive cloud-native, scalable, and secure architectures supporting high-volume imaging workloads.

• Establish architectural standards, reference designs, and technology roadmaps.

2. Medical Imaging Visualization

• Architect and optimize high-performance image rendering pipelines for:

  • DICOM (CT, MR, XA, US, NM, MG)

  • Non-DICOM content (PDFs, JPEG/PNG, Video, Waveforms)

• Lead design of advanced visualization features:

  • 3D/4D rendering, cine, segmentation overlays

  • AI annotations (GSPS, structured results)

  • Web-based zero-footprint viewers (HTML5/WebGL/WebGPU)

• Ensure compliance with DICOM, IHE, HL7/FHIR, and regulatory requirements.

3. GenAI & Agentic AI Integration

• Design and implement GenAI-powered capabilities, including:

  • Imaging study summarization and insights

  • Clinical decision support (assistive, not diagnostic)

  • Workflow automation and intelligent orchestration

• Architect LLM-based systems with:

  • RAG pipelines over imaging metadata, reports, and clinical context

  • Multi-agent workflows for triage, QA, and reporting assistance

• Ensure AI safety, explainability, governance, and auditability.

4. Platform Engineering & Scalability

• Lead architecture for microservices and event-driven systems handling:

  • Millions of studies

  • Petabyte-scale storage

  • Low-latency viewer performance

• Drive performance optimization across:

  • Rendering

  • Image streaming

  • AI inference pipelines

• Partner with DevOps to design CI/CD, observability, and reliability strategies.

5. Security, Privacy & Compliance

• Ensure solutions meet HIPAA, GDPR, ISO 27001, and healthcare security best practices.

• Design data isolation, encryption, access control, and audit logging for imaging and AI systems.

• Lead threat modeling and architecture reviews for AI and imaging pipelines.

6. Mentorship & Cross-Functional Leadership

• Mentor senior engineers, architects, and AI researchers.

• Act as the technical authority in architecture reviews and critical escalations.

• Collaborate closely with Product, Clinical SMEs, Regulatory, and Executive stakeholders.

• Translate clinical and business requirements into scalable technical solutions.

What Success Looks Like

• A future-proof imaging and AI architecture that scales globally.

• Seamless integration of visualization, AI insights, and workflows.

• High-performance, clinician-friendly viewers adopted across enterprises.

• Engineering teams aligned around clear architectural principles and execution excellence.

Why Join Us

• Opportunity to shape the next generation of AI-powered medical imaging platforms.

• Work at the intersection of deep tech, clinical impact, and GenAI innovation.

• Influence strategy while staying hands-on with cutting-edge engineering.

Core Experience

• 15+ years in software engineering and architecture, with 8+ years in medical imaging or healthcare platforms.

• Proven experience architecting PACS, VNA, Enterprise Viewers, or Imaging AI platforms.

• Strong hands-on background in system design, APIs, and performance-critical systems.

Technical Skills

Medical Imaging & Visualization

• DICOM, GSPS, Structured Reports

• 2D/3D visualization engines (VTK, ITK, OpenGL, WebGL/WebGPU)

• Image streaming, tiling, and compression techniques

Backend & Cloud

• Java, C++, Python, or Go

• Microservices, REST/gRPC, event streaming

• Kubernetes, Docker, Cloud (AWS/GCP/Azure)

Frontend / Viewer Technologies

• HTML5, TypeScript, React/Angular

• Web-based imaging viewers and real-time rendering

AI & GenAI

• LLMs (OpenAI, open-source models)

• RAG architectures, vector databases

• Agentic workflows and AI orchestration

• AI model integration and inference at scale

Preferred Qualifications

• Experience building FDA-cleared or CE-marked imaging software.

• Background in clinical workflows (Radiology, Cardiology, Pathology).

• Experience with real-time collaboration, audio/video, or tele-radiology.

• Prior role as Principal Architect, Chief Architect, or Distinguished Engineer.