TECHNICAL ARCHITECT CLINICAL IMAGING & AI/ML

Infinity Tech Group Inc

United States

10 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Artificial Intelligence Amazon Web Services Amazon S3 Audit Trail Cloud Computing Cloud Database Cyber Security Continuous Integration Information Engineering Data Governance Dicom Monitoring of Systems

+27 more

Identity and Access Management Interoperability Python (Programming Language) Machine Learning Metadata Azure Machine Learning Software Engineering Large Language Models Model Validation Generative AI Jupyter Git Event Driven Architecture Kubernetes Data Lineage AWS Glue Apache Kafka Data Management Machine Learning Operations Virtual Agents Restful APIs Devsecops Api Management Serverless Computing GXP Docker Databricks

Job description

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

Requirements

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