Agentic & MCP Architect (Principal / Expert)

About the Project / Role Context: For our client – an international FinTech & Telecom group – we are building a world-class AI capability (AI Squad) from the ground up. We create autonomous and semi-autonomous agentic systems and intelligent platforms that will transform and automate financial services for millions of users. We are seeking an Agentic & MCP Architect to serve as the chief Design Authority for agentic systems across Group FinTech. This is a hands-on architecture role within a build team – ranging from designing agent frameworks and tool servers, through defining context protocols (MCP) and integration patterns, to ensuring predictable, safe execution in production environments.

Requirements

Requirements (Must-have): Experience: Minimum 8–10 years of experience in software or machine learning engineering, including at least 3 years in a Technical Design Authority or Lead Engineering role . Production Agentic Practice: Proven hands-on track record of designing and deploying agentic or workflow automation systems running at scale in production. Domain Expertise: Deep practical knowledge of large language models (LLMs), agent frameworks, tool/function calling, context protocols (MCP), planning, and memory design. Enterprise Integration: Experience integrating automated AI systems with core transactional platforms and enterprise applications. Guardrails & Security: Experience designing permissioning, guardrails, and human oversight for systems taking action in regulated environments. Nice-to-have: Experience in FinTech, banking , or other high-volume transactional environments. Recognized cloud, security, or AI engineering certifications. Postgraduate qualification (Master's or Ph.D.) in a technical discipline (Computer Science, Data Science, Mathematics, or a related field).

Must have: Agentic AI, AI Architecture, MCP (Model Context Protocol), LLM, Multi-Agent, Python, Orchestration

Nice to have: AI engineering certifications, FinTech