SENIOR TECHNICAL ARCHITECT CLINICAL IMAGING & AI/ML

HIRING | SENIOR TECHNICAL ARCHITECT CLINICAL IMAGING & AI/ML

We are looking for an experienced Senior Technical Architect with strong expertise in AWS, AI/ML, MLOps, clinical imaging, healthcare integrations, and regulated cloud environments.

This role is ideal for an architect who can bridge cloud architecture, clinical imaging, AI/ML platforms, data engineering, and enterprise healthcare systems.

KEY TECHNICAL REQUIREMENTS

AWS Cloud Architecture

• Strong hands-on architecture experience with AWS services across:
  • Compute & Storage
  • Networking & IAM
  • API Management
  • Containers & Serverless
  • Monitoring & Observability
  • Cloud Data Services

AI/ML & MLOps

• Strong understanding of end-to-end AI/ML lifecycle
• Model development and experimentation
• Experiment tracking & model registry
• ML CI/CD pipelines
• Model deployment, monitoring, retraining & rollback
• Experience with SageMaker, MLflow & Kubeflow

Technology Stack

• Python
• Jupyter
• Docker
• Kubernetes / EKS
• Git
• CI/CD
• Databricks

Data Engineering & Data Platforms

• Amazon S3
• AWS Glue
• Lambda
• Step Functions
• Kafka / Kinesis
• REST APIs
• Metadata & Data Lineage
• Data Quality Frameworks

Clinical Imaging & Healthcare

• Experience designing healthcare/clinical imaging integrations
• DICOM
• RIS / PACS concepts
• REST APIs
• Event-driven architecture
• Healthcare interoperability patterns

Generative AI / Agentic AI

• LLM architecture
• Generative AI
• Agentic AI
• RAG
• Vector Databases
• Model Evaluation
• AI Guardrails
• AI Governance

Security & Regulated Cloud

• IAM
• Encryption
• Audit Logging
• Observability
• DevSecOps
• Security Architecture
• Regulated-system controls

GxP / SaMD & Validation

• GxP / SaMD validation
• URS / FRS traceability
• Software lifecycle controls
• Release governance
• Validated computerized systems

IDEAL PROFILE

We are looking for someone who can provide hands-on technical architecture leadership across cloud, AI/ML, clinical imaging, healthcare data, and regulated environments.

If you have experience building enterprise-grade AWS + AI/ML platforms for healthcare or clinical imaging, we'd love to connect.