AI Architect

Job description

In this role, you will define the architectural blueprint and technology foundations for AI‑driven solutions that transform how customers in dynamic, data‑intensive industries operate, scale, and innovate. You will design robust, future‑ready AI architectures that enable automation, advanced analytics, and intelligent decision‑making across complex digital transformation programmes. With access to cutting‑edge AI frameworks, high‑performance computing environments, and modern data platforms, you will guide engineering and data science teams in building secure, scalable, and ethical AI systems.

This role empowers you to shape end‑to‑end AI ecosystems—accelerating delivery, enhancing customer experience, strengthening operational resilience, and driving their journey toward a more intelligent, AI‑enabled future. Design agentic AI architectures using multi‑agent orchestration patterns (planner‑executor, supervisor‑worker, tool‑using agents). Define reference architectures for enterprise agent platforms integrating LLMs with systems of record (core banking, CRM, risk, payments).

Design audit‑ready agent interactions, tool usage logs, and decision provenance. Select and standardize frameworks (e.g., LangGraph, Google ADK, MCP, A2A patterns). Hands‑on expertise with agentic frameworks (orchestrators). Experience with LLMs, prompt engineering, tool/function calling, memory management. API‑first integration, event‑driven architectures, and data pipelines.

Exposure to AI quality metrics

task success rate, groundedness, containment, FCR. Experience on Google Cloud Platform (preferred) or equivalent hyperscale. Deep understanding of LLMs, generative AI, RAG patterns, vector databases, embeddings, and prompt/guardrail engineering. </ul

Qualifications

BACHELOR OF TECHNOLOGY