AI Engineer and Architect
Core
Design and implement AI/ML and agentic automation workflows to harvest, extract, normalize, and enrich metadata from structured and semi-structured sources, generating validated documentation artifacts.
Role type
Senior AI Engineer and Architect (Metadata & Agentic AI)
Builds
Automated metadata harvesting pipelines, agentic AI documentation workflows, and RAG-integrated semantic discovery systems.
Domain
Enterprise Data Governance, Metadata Management, Generative AI
Deliverable
production ML models
Required skills
Python, SQL, Generative AI (LLMs), Agentic AI architectures, RAG pipelines, Vector databases, Knowledge graphs, TensorFlow/PyTorch, Metadata engineering
Preferred skills
R (statistical validation), Visualization tools, Agile delivery, Consulting experience, AI governance practices
Technologies
Python, SQL, TensorFlow, PyTorch, Vector databases, Knowledge graphs
Responsibilities
Design AI-assisted metadata harvesting and enrichment approaches; Implement agentic/GenAI workflows for autonomous metadata exploration; Own the metadata harvesting plan and decision logs; Facilitate human-in-the-loop validation cycles with data stewards; Build and maintain scalable metadata extraction pipelines; Lead RAG and knowledge graph integration for semantic discovery; Define metadata quality metrics and validation controls; Mentor junior team members on agentic AI patterns.
Seniority
Senior, hands-on IC with mentorship responsibilities