Overview

AI Code reviews; Microservices architecture; Definition of technical standards

Responsibilities

• Technical decisions
• Scalability
• Mentoring/coaching
• Standards (LLMs, RAG governance, policies)
• Strategy for RAG and agents
• Continuous evaluation pipelines
• Strategy; risks; compliance; cost/safety criteria
• Agent orchestration
• Agent observability
• Cloud architecture (security, networking, cost management, DRP)
• Multi‑cloud and AI landing zones
• Lakehouse governance, lineage, granular permissions, multi‑workspace integration
• Cross‑cloud residency/compliance and cost‑strategy standards
• Standardization and architectural decisions
• Cost control in MLOps and Model governance
• AI SLAs (latency, grounding, costs)
• AI FinOps and integration with client data governance
• Operation at scale, security, and cost control...