About the Role

We are hiring an Agentic AI Automation Architect to shape how our clients — and we ourselves — use agentic AI to automate meaningful work. This is an architect role, not an AI engineer role: you will spend a significant part of your time with clients, framing business problems, identifying where agentic automation actually pays off, and designing solutions that are safe, observable, and scalable. You will also own the internal accelerators that make our delivery teams faster on every subsequent engagement.
Our current delivery stack anchors on the Microsoft agentic ecosystem — Copilot Studio, Azure AI Foundry, Semantic Kernel, Azure OpenAI, and the broader Azure AI services — integrated with Microsoft 365, Fabric, Dynamics, and enterprise systems via MCP and native connectors. You should be fluent enough in this stack to make credible architecture decisions. But the role is stack-savvy, not stack-loyal. We are looking for architects who have designed multi-agent solutions across tools over their career,



and who can evaluate trade-offs between orchestration frameworks, memory stores, tool/MCP integrations, and model choices rather than defaulting to one.
The craft we are hiring for is a clear progression from business process to agent design to production-grade automation: starting with a precise workflow and its pain points, choosing the right agent topology (single agent, multi-agent, human-in-the-loop), designing tool use and memory thoughtfully, and engineering the guardrails, evaluation, and observability needed to run it in a regulated enterprise.

A candidate whose CV is primarily a collection of prompts, fine-tunes, or single-framework demos however impressive, is likely a robust AI engineer, not the architect we are hiring.
Key Responsibilities

Client Engagement & Opportunity Shaping
Engage directly with client stakeholders Engage directly with client business and technology stakeholders to understand their processes, pain points, and where

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