Director, AI Enterprise Architect

📋 Description

• Define the enterprise AI transformation roadmap and executive alignment.
• Build scalable AI-native workflows with Sales, CS, Finance, Ops, Marketing.
• Design and deploy AI agents replacing manual processes end-to-end.
• Integrate LLMs and RAG architectures across data sources.
• Engineer data pipelines and cross-system integration for AI.
• Lead AI platform architecture and cross-functional team mentoring.

🎯 Requirements

• 5+ years in enterprise AI transformation; 5+ years in software/data/AI/ML roles.
• Python proficiency; cloud infra (AWS, Azure, or GCP); production deployment.
• Data engineering fundamentals: ETL/ELT, Lakehouse, API integration; Databricks.
• Hands-on experience deploying agentic AI workflows in production.
• Deep proficiency with LLM integration, RAG, prompt engineering; Claude or GPT-4.
• ML skills: regression, classification, anomaly detection, time-series.
• Strong business acumen and clear communication with stakeholders.