Overview
Skills
Job Details
About Genzeon
Delivering excellence in IT services and solutions for the retail and healthcare sectors. Genzeon is a leading provider of intelligent automation, security, compliance, cloud, and managed services. Our healthcare capabilities integrate data systems, facilitate information flow, and leverage interoperability to improve clinical and operational outcomes. Genzeon empowers retail enterprises with multichannel IT solutions that deliver a personalized experience for consumers.
Genzeon has an exciting opening for Product Architect to join our dynamic healthcare team.
Product Architect
Remote (work in USA only-Travel will include)
Contract
Must be open for a live code test at the first round of interview.
We are seeking an experienced Product Architect to lead the development of our Health Intelligent Platform. In this role, you will be responsible for building solutions that is secure and scalable and revolutionize the processing of patient medical records.
Key Responsibilities
AI Solution Architecture & Design
- Architect end-to-end AI solutions for healthcare applications, ensuring scalability, reliability, and regulatory compliance.
- Define system-level requirements for AI models, data pipelines, APIs, and infrastructure components.
- Design distributed AI/ML architectures leveraging cloud-based platforms (AWS, Azure, Google Cloud Platform) and edge computing for real-time healthcare AI inference.
- Implement multi-modal AI architectures (text, imaging, structured EHR data) for complex healthcare analytics.
- Define standards for AI model deployment, monitoring, and retraining in production environments.
Machine Learning & AI Development
- Collaborate with data science teams to optimize AI models for accuracy, performance, and interpretability.
- Develop and integrate ML/DL pipelines using frameworks like TensorFlow, PyTorch, ONNX, and Hugging Face Transformers.
- Optimize AI inference on hardware accelerators such as TPUs, GPUs, and FPGAs.
Data Engineering & Pipeline Optimization
- Ensure data governance, integrity, and lineage tracking in compliance with HIPAA, GDPR, and FDA guidelines.
- Implement real-time data processing frameworks using Kafka, Spark Streaming, or Apache Flink for real-time AI-driven insights.
- Develop data lake and data warehouse solutions optimized for healthcare AI workloads.
AI Infrastructure & Cloud Computing
- Architect hybrid cloud and on-premises AI infrastructure to support healthcare applications.
- Optimize AI workloads for serverless computing (Lambda, Cloud Functions) and containerized environments (Kubernetes, Docker, Kubeflow, MLflow).
- Implement MLOps best practices for continuous training, model versioning, and automated model retraining.
- Design secure API frameworks for AI services integration into hospital IT systems, EHRs, and medical devices.
Collaboration & Leadership
- Lead cross-functional teams including data scientists, ML engineers, DevOps, clinicians, and business stakeholders.
- Conduct technical reviews and mentor teams on AI architecture best practices.
Required Skills & Qualifications:
Technical Expertise
- 10+ years of experience in AI/ML architecture, with at least 2+ years in healthcare AI.
- Expertise in deep learning, NLP, computer vision, reinforcement learning, and multi-modal AI architectures.
- Strong proficiency in Python, TensorFlow, PyTorch, scikit-learn, FastAPI, Flask, and OpenCV.
- Experience with FHIR, HL7, DICOM, PACS, and healthcare data interoperability.
- Proficiency in big data technologies (Apache Spark, Databricks, Delta Lake).
- Strong knowledge of cloud computing (AWS/Google Cloud Platform/Azure), Kubernetes, and CI/CD pipelines for AI.
Soft Skills
- Strong leadership, strategic thinking, and ability to communicate AI concepts to non-technical stakeholders.
- Excellent problem-solving and decision-making skills in complex, high-stakes environments.