Enterprise AI Architect (Principal / Expert)

Emerge Limited; Warszawa; On-site; PLN 240,000 - 360,000; Full time

Job summary

Emerge seeks an Enterprise AI Architect to serve as chief Design Authority for AI across the FinTech group. This hands-on role defines reference architectures, standards, and patterns, and prototypes solutions for production-grade AI systems.

You will lead data and knowledge architecture, embedding strategies, and interoperability across enterprise platforms while ensuring security, governance, and regulatory compliance in high-volume environments.

Qualifications

• 8–10+ years in software, data, or ML engineering with at least 3 years in Architecture/Technical Design Authority roles.
• Proven hands-on experience deploying AI/ML systems at scale in production.
• Deep practical knowledge of LLMs, RAG, embeddings, and vector databases.

Responsibilities

• Define the target enterprise AI reference architecture and solution patterns for the organization.
• Establish model standards (LLMs), ADRs, and reusable architectural patterns.
• Design data processing, knowledge retrieval, embedding estates, and vector/knowledge store architectures.
• Ensure interoperability between AI components and core enterprise systems.
• Lead prototype implementations and code/design reviews for production readiness.

Skills

LLMs

RAG

Embeddings

Vector stores

Context engineering

Data integration

Security governance

Education

Master's or Ph.D. in CS/DS/Math

Tools

TOGAF

Cloud certs

Job description

Enterprise AI 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

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 platforms, agents, and intelligent systems that will power the next generation of financial services serving millions of users and high-volume transactions.

We are seeking an Enterprise AI Architect to serve as the chief Design Authority for artificial intelligence across Group FinTech. This is a hands-on architecture role within a build team – ranging from defining the reference architecture, standards, and model selection, to prototyping, code reviews, and ensuring that the designed solutions perform reliably in production.

Key Responsibilities:

AI Reference Architecture: Define the target enterprise AI reference architecture and solution patterns for the entire organization.

Standards & ADRs: Establish model selection standards (LLM), build Architectural Decision Records (ADRs), and define reusable solution patterns.

Data & Knowledge Architecture: Design data processing, knowledge retrieval (RAG), embedding estates, and vector/knowledge store architectures.

Interoperability & Integration: Ensure seamless integration and interoperability between AI components, core transaction platforms, data sources, and enterprise systems.

Architectural Assurance: Create reference implementations/prototypes, conduct code/design reviews, and maintain technical accountability for everything delivered to production.

Requirements (Must-have):

Experience: Minimum 8–10 years of experience in software, data, or machine learning engineering, including at least 3 years in an Architecture or Technical Design Authority role.

Production AI/ML Practice: Proven hands‑on track record of designing and deploying AI/ML systems running at scale in production.

Domain Expertise: Deep practical knowledge of large language models (LLMs), RAG (Retrieval‑Augmented Generation), embeddings, vector databases, and context engineering.

Enterprise Integration: Experience designing data and integration architecture across complex, heterogeneous enterprise systems.

Security & Governance: Exposure to regulated environments and understanding of security, data privacy, and model risk review frameworks.

Nice‑to‑have:

Experience in FinTech, banking, or other high‑volume transactional environments.

Recognized cloud or architecture certifications (e.g., TOGAF, AWS/Azure/GCP Solutions Architect).

Postgraduate qualification (Master's or Ph.D.) in a technical discipline (Computer Science, Data Science, Mathematics, or a related field).