Application Architect, Medical Imaging

Perceptive Inc.

Application Architect facilitating AI-driven solutions for medical imaging in clinical trials. Collaborating with product teams to refine and document technical specifications while ensuring compliance and scalability.

Posted 5/28/2026full-timeRemote • 🇬🇧 United KingdomMid-LevelSeniorWebsite

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Hard Skills

cloud-native platformsAI/ML modelsAPIsDICOMHL7 FHIRDevOpsCI/CDdatabase designsoftware testingmedical imaging

Soft Skills

collaborationmentoringcommunicationtechnical decision-makingrequirements definition

Tools & Technologies

serverless architecturesmicroservicesPACS integrationreal-time communication protocolsDICOM processing libraries

Certifications & Qualifications

Bachelor's DegreeMaster's DegreePhDcloud platform certificationsmedical device software development certification

Industry Keywords

FDA 21 CFR Part 11GxPHIPAAregulated environmentsmedical imaging standards

Tech Stack

Tools & technologies

CloudGraphQLMicroservicesNoSQL

About the role

Key responsibilities & impact

Conceptualize and guide the creation of advanced, cloud-native platforms which harness artificial intelligence to revolutionize medical imaging within clinical research.
Collaborate closely with Product Managers and Product Owners to refine and clarify business features and requirements.
Translate high-level business requirements into clear, actionable technical specifications and architectural enablers.
Advocate for standards-driven solutions by integrating best practices into requirements definition.
Document and communicate requirements in a structured manner to guide development efforts.
Design, document, and communicate scalable, multi-tenant SaaS architectures using cloud-native services.
Architect and document microservices-based systems optimized for medical imaging data processing.
Define the integration approach of AI/ML models for medical image analysis.
Design systems compliant with FDA 21 CFR Part 11, GxP, HIPAA, and international regulations.
Engage in technical decisions on technology stack selection for medical imaging and AI workloads.
Mentor team members to foster their professional, technical, and domain growth.

Requirements

What you’ll need

Deep expertise in cloud platforms with a strong understanding of serverless and scalable architectures
Proficiency in designing and implementing APIs (e.g. RESTful, GraphQL) and real-time communication protocols
Experience with medical imaging standards (DICOM, HL7 FHIR) and specialized DICOM processing libraries (pydicom, DCMTK, GDCM)
Extensive experience with DICOM standard implementation, including DICOM parsing libraries, tag manipulation, and compliance validation
Expertise in database design for both relational and NoSQL systems
Comprehensive experience in DevOps methodologies, including CI/CD pipeline automation and infrastructure as code
Strong background in software testing, validation, and quality assurance for regulated medical systems
Experience with medical image viewer technologies and PACS integration
Familiarity with AI applications in medical imaging (computer-aided diagnosis, image segmentation, etc.)
Experience leading cross-functional teams in regulated environments
Bachelor’s Degree (Master's or PhD’s preferred) in Computer Science, Biomedical Engineering, Software Engineering, or related technical discipline
Additional certifications in cloud platforms (or be prepared to gain qualifications)
Medical device software development training or certification preferred
English: Fluent

Benefits

Comp & perks

25 days’ holiday (with the option to buy more)
Health Cash Plan
Optional private health, dental insurance, and health screens
Cycle to work scheme
Generous pension scheme with up to 10% employer contribution
Life assurance
Season ticket loan