Agentic & MCP Architect (Principal / Expert)

Emerge Limited; Warszawa; On-site; PLN 220,000 - 340,000; Full time

Job summary

Emerge Limited in Warsaw, Poland, is seeking an Agentic & MCP Architect (Principal / Expert) to lead design Authority for agentic systems within the FinTech group. The role blends hands-on architecture with strategic governance across MCP, agent frameworks, and enterprise integration.

You will design memory structures, orchestration patterns, and safe action workflows, ensuring scalable, secure production deployments and high-quality behavioral evaluation for autonomous systems.

Qualifications

• Must have 8–10 years of software or ML engineering experience.
• At least 3 years in Technical Design Authority or Lead Engineering role.
• Deep knowledge of LLMs, agent frameworks, tool calling, and MCP context protocols.

Responsibilities

• Agentic Architecture: design advanced agentic systems, memory structures and orchestration.
• Tool & Context Integration Layer: design MCP servers and connectors for safe enterprise interaction.
• Execution Patterns & Runtime: develop reusable agent templates and runtime environments.
• Safe Action Design: implement permissioning, human-in-the-loop oversight and rollbacks.
• Evaluation & Quality: create evaluation frameworks and monitor production safety.

Skills

8-10 years experience

Lead Engineering

LLMs knowledge

Agent frameworks

Tool/function calling

Context MCP

Memory design

Tools

MCP servers

Agent frameworks

Job description

Agentic & MCP Architect (Principal / Expert)

Emerge in numbers

• 14 years on the market
• 100 people onboard
• 1 6 years of average employment duration
• 50 million transactions daily for mobile wallet
• 1 B$ value transactions daily for mobile wallet
  
• 1 billion mobile money accounts

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.

Key Responsibilities:

Agentic Architecture: Design advanced agentic systems, including planning, memory structures, orchestration mechanisms, and multi-agent design patterns.

Tool & Context Integration Layer: Design and build Model Context Protocol (MCP) servers and connectors, enabling agents to interact safely with enterprise systems.

Execution Patterns & Runtime: Develop reusable execution patterns, agent templates, and the agent runtime environment.

Safe Action Design: Design permissioning frameworks, human-in-the-loop oversight, escalation mechanisms, and automated rollbacks for agent-initiated actions.

Evaluation & Quality: Design agent evaluation frameworks and monitor behavioral quality and safety in production.

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).