Senior Technical Architect( Senior AWS AI/ML Solutions Architect)– AI/ML & Clinical Imaging ll Remote
Job Title: Senior Technical Architect – AI/ML & Clinical Imaging
Location: Remote
Duration: Long Term
Mandatory Keywords: AWS + AI/ML + MLOps + SageMaker + Python + Kubernetes/EKS + DICOM/PACS + Healthcare
Job Overview
We are seeking a Senior Technical Architect – AI/ML & Clinical Imaging to design and architect scalable, secure, and highly available cloud-based platforms for clinical imaging and healthcare applications.
The ideal candidate will have strong hands-on experience in AWS architecture, AI/ML, MLOps, data engineering, healthcare/clinical imaging integrations, Generative AI, and regulated environments. The candidate should be comfortable working across cloud infrastructure, machine learning platforms, data pipelines, healthcare interoperability, security, and software validation.
Required Technical Skills
AWS Cloud Architecture
Strong hands-on experience architecting solutions using AWS services.
Experience with AWS compute, storage, networking, IAM, API management, containers, serverless, monitoring, and data services.
Strong knowledge of services such as S3, Lambda, Glue, Step Functions, API Gateway, IAM, VPC, CloudWatch, and EKS.
AI/ML & MLOps
Deep understanding of the complete AI/ML lifecycle and MLOps.
Experience with model development, experiment tracking, model registry, CI/CD for ML, deployment, monitoring, retraining, and rollback.
Hands-on experience with Amazon SageMaker, MLflow, Kubeflow, Databricks, Python, and Jupyter.
Experience with Docker, Kubernetes/EKS, Git, and CI/CD tools.
Data Engineering & Data Platforms
Strong understanding of modern data engineering and cloud data platforms.
Experience with S3, Glue, Lambda, Step Functions, Kafka/Kinesis, APIs, metadata, data lineage, and data-quality frameworks.
Ability to design scalable data pipelines supporting AI/ML and clinical applications.
Clinical Imaging & Healthcare
Experience architecting clinical imaging and healthcare solutions.
Strong understanding of DICOM and RIS/PACS concepts.
Experience with REST APIs, event-driven architectures, healthcare integrations, and interoperability patterns.
Experience integrating clinical/medical imaging systems with cloud-based platforms is highly desirable.
Generative AI & Agentic AI
Understanding of LLMs and Generative AI architectures.
Experience with RAG, vector databases, model evaluation, guardrails, and AI governance.
Understanding of agentic AI architecture and enterprise AI integration patterns.
Security & Compliance
Strong experience implementing IAM, encryption, audit logging, observability, DevSecOps, and security controls in cloud environments.
Understanding of security and compliance requirements for healthcare and regulated systems.
Experience implementing secure and auditable AI/ML platforms.
GxP / SaMD / Validation
Familiarity with GxP and SaMD validation.
Understanding of URS/FRS traceability, software development lifecycle controls, release governance, and validated computerized systems.
Experience working in regulated healthcare or life-sciences environments is preferred.
Preferred Candidate Profile
The ideal candidate will bring a combination of:
AWS Architecture + AI/ML + MLOps + Data Engineering + Clinical Imaging + Healthcare Integration + Generative AI + Security/Compliance
Candidates with experience in healthcare, medical imaging, life sciences, pharmaceutical, or other regulated environments
Regards,
Amit Mehra
Delivery Manager
Office: X 1018
Direct:
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E-mail :
Website :
Location : 2120 Crown Center Drive, Suite # 400,
Charlotte, NC - 28227
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