AI/ML Platform Architect

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.
• Develop GenAI and LLM integration patterns (RAG, vector databases, prompt engineering).
• 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.

Pay

Details not specified.

Schedule

Hybrid - 2 days per month, onsite, in Newark, NJ.

Benefits

Details not specified.