AI Data Architect Offline

Digis is looking for an AI Data Architect who thrives in a startup environment, can make fast decisions, and delivers high-quality code with minimal supervision.

About the Project

This is an innovative AI platform designed specifically for Banking and Financial Services software engineering. The platform leverages agentic AI to enhance software development and deployment processes while maintaining strict security, compliance, and performance standards required in regulated environments.
Our platform architecture is built around specialized AI agents that operate across different roles in the software development lifecycle, with an initial focus on:
• Business Analyst Agents — for requirements management, documentation, and analysis
• PMO Agents — for project governance, coordination, and operational excellence

Country and Time Zone: UK, work in the Urkaine time zone

Key Requirements:

• 5+ years of general experience
• An AI/ML systems architect adept at building agent-based solutions with vector memory
• В2+ of English level

Key Responsibilities:

• Design and implement a scalable data architecture integrating with the Eliza framework
• Develop advanced vector embedding systems for semantic knowledge representation
• Implement efficient RAG (Retrieval-Augmented Generation) pipelines with vector database
• Develop APIs for bidirectional enterprise tool integration (JIRA, Project Server, etc.)
• Implement secure data partitioning to maintain compliance with financial industry standards, etc

Advantages of the Project:

• Cutting-Edge AI Agent Architecture — Work on a next-generation AI platform leveraging agentic architectures, vector databases, and RAG pipelines to solve real-world problems in regulated industries
• Full Ownership & Creative Freedom — Collaborate directly with founders and shape core components of the platform with a high degree of autonomy, ownership, and technical influence.
• Exposure to Financial-Grade AI Systems — Build systems that meet enterprise-grade security, compliance, and performance standards — ideal for engineers who want to master AI in mission-critical environments

If this sounds like the right opportunity for you, apply now! We look forward to discussing this further.