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Job Description
AI/ML Platform Architect Hybrid
2 days per month, onsite, in Newark, NJ is required The AI/ML Platform Architect defines enterprise AI/ML platform patterns, MLOps frameworks, and responsible AI standards to enable scalable, ethical deployment of machine learning.
This senior-level role focuses on creating reusable templates and governance models for model training, deployment, and monitoring. The AI/ML Platform Architect partners with data science, platform, and security teams to drive AI adoption.
Key Responsibilities:
Define ML platform reference architectures and MLOps patterns.
Create model deployment templates for real-time, batch, and streaming inference.
Establish model governance, versioning, and monitoring frameworks.
Build responsible AI frameworks including bias detection and explainability.
Define feature store, data prep, and experimentation standards.
Develop AI/ML modernization roadmaps and train architects and data scientists.
Qualifications:
7+ years in AI/ML architecture or data science.
5+ years creating ML platform and MLOps frameworks.
Experience with GenAI, LLMs, and production-scale ML deployment.
Expertise in SageMaker, Azure ML, Vertex AI, and model serving infrastructure.
Cloud ML certifications and TOGAF preferred.
The AI/ML Platform Architect will deliver MLOps templates, GenAI integration patterns, and responsible AI frameworks that shape the future of enterprise AI. This is a high-impact role for an AI/ML Platform Architect ready to lead innovation at scale.