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.
- 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 10107170
- Position Id: 26-00080
- Posted 2 hours ago
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