ROLE & RESPONSIBILITIES Lead design and delivery of end-to-end AI solutions including classical machine learning models, large‑language‑model pipelines, retrieval‑augmented generation systems, and multi‑agent orchestration. Provide architectural consultation for agentic systems, advising on tool‑calling patterns, agent‑to‑agent coordination (A2 A), memory design, and human‑in‑the‑loop workflows. Design context windows, prompt strategies, and contextual compression techniques to optimise LLM relevance and cost. Implement document intelligence solutions leveraging embeddings, vector stores, and hybrid retrieval strategies. Architect and build agentic systems: tool‑calling architectures, multi‑agent workflows, agent memory, and human‑in‑the‑loop pathways. QUALIFICATIONS/EXPERIENCE Bachelor’s degree in Computer Science, Data Science, Mathematics or equivalent experience, with a strong background in mathematics and analytical problem‑solving. Proven track record of leading teams, platforms,...