AI/ML Platform Architect

AI/ML Platform Architect

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.
• 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.

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.