Responsibilities

Agentic AI Systems

• Design reusable patterns for Agentic AI systems including RAG, Multi-Agent Orchestration, and Human-in-the-loop systems
• Define how different agents communicate, share state, and hand off tasks to one another
• Architect long-term and episodic memory layers using Vector Databases, embedding pipelines, and knowledge graphs
• Decide when to use high-reasoning models vs. worker models to optimise cost and performance
• Predict and control token usage; architect systems with semantic caching to prevent redundant LLM spend
• Set architectural standards for explainability, auditability, and guardrails to prevent hallucinations and bias
• Ensure data governance, privacy compliance, and responsible AI practices across all systems

AI Infrastructure & MLOps

• Design scalable AI infrastructure including model serving, inference ar...