KEY RESPONSIBILITIES
Generative AI Agentic Engineering (70%)
Design, prototype and build Generative AI applications, including prompt engineering and prompt optimization for reliability, accuracy and cost.
Build and tune Retrieval-Augmented Generation (RAG) pipelines, including chunking, embeddings, vector search and grounding strategies.
Design and build single- and multi-agent systems; implement agent-to-agent communication and orchestration patterns across tools, workflows and systems.
Implement memory management strategies for agents (short-term, long-term and episodic memory) to support context retention and coherent multi-turn behaviour.
Set up observability for AI/agentic systems: tracing, logging, evaluation and monitoring of prompts, model outputs, agent actions and failure modes.
Establish governance of agents, including permissioning, escalation paths, human-in-the-loop checkpoints and accountability for autonomous actions.
Implement guardrails for AI and agentic systems covering input/output validation, content safety, jailbreak and prompt-injection defence, and tool-use restrictions.
Apply software development practices to AI systems, including API integration, version control, CI/CD, testing and secure coding for AI/agentic applications.
AI Governance AI Solutions Review (30%)
Design, implement and maintain the enterprise AI governance framework, policies, standards and
