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- Tasks: Design and implement scalable data architecture for an innovative AI platform in finance.
- Company: Join Digis, a growing European tech company with a startup vibe and 200 talented employees.
- Benefits: Enjoy creative freedom, ownership of projects, and the chance to work on cutting-edge AI technology.
- Why this job: Be part of a mission-critical project that shapes the future of AI in banking and finance.
- Qualifications: 5+ years in AI/ML architecture, fluent in English, and skilled in agent-based solutions.
- Other info: Work remotely while collaborating with teams across different time zones.
The predicted salary is between 43200 - 72000 £ per year.
Digis is a European company with 200 employees. Founded 9 years ago, it has grown from a startup into a reliable partner for clients, combining expertise from product and outsourcing sectors. You will collaborate directly with the client's team and make business trips.
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, focusing initially on:
- Business Analyst Agents — for requirements management, documentation, and analysis
- PMO Agents — for project governance, coordination, and operational excellence
Country and Time Zone: UK, working in the Ukraine time zone
Key Requirements:
- 5+ years of general experience
- An AI/ML systems architect adept at building agent-based solutions with vector memory
- B2+ level of English
Key Responsibilities:
- Design and implement 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 databases
- Develop APIs for bidirectional enterprise tool integration (JIRA, Project Server, etc.)
- Implement secure data partitioning to maintain compliance with financial industry standards
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.
Contact Detail:
Digis Corp Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data Architect
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially in the context of banking and financial services. This will not only help you understand the project better but also demonstrate your passion and knowledge during discussions.
✨Tip Number 2
Network with professionals in the AI and fintech sectors. Attend relevant meetups or webinars to connect with industry experts. This can provide insights into the company culture at Digis and may even lead to referrals.
✨Tip Number 3
Prepare to discuss your experience with agent-based solutions and vector memory systems in detail. Be ready to share specific examples of how you've implemented these technologies in past projects, as this will showcase your expertise.
✨Tip Number 4
Research Digis thoroughly, including their recent projects and company values. Tailoring your conversation to align with their mission and demonstrating how you can contribute to their innovative AI platform will make a strong impression.
We think you need these skills to ace AI Data Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI/ML systems architecture and any relevant projects you've worked on. Emphasise your ability to build agent-based solutions and your familiarity with vector memory.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for working in a startup environment and your ability to make quick decisions. Mention specific examples of how you've delivered high-quality code with minimal supervision.
Showcase Relevant Skills: Clearly outline your skills related to the key responsibilities mentioned in the job description, such as designing scalable data architecture, developing APIs, and implementing secure data partitioning.
Highlight Language Proficiency: Since a B2+ level of English is required, ensure you mention your language proficiency clearly. If you have any certifications or relevant experiences that demonstrate your English skills, include them.
How to prepare for a job interview at Digis Corp
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with AI/ML systems architecture and agent-based solutions. Highlight specific projects where you've implemented scalable data architectures or developed vector embedding systems, as this will demonstrate your capability to meet the role's requirements.
✨Understand the Company and Project
Research Digis and their innovative AI platform for Banking and Financial Services. Familiarise yourself with their focus on security, compliance, and performance standards, as well as the specific technologies mentioned in the job description, such as RAG pipelines and vector databases.
✨Demonstrate Problem-Solving Skills
Prepare to discuss how you've made quick decisions in previous roles, especially in a startup environment. Use examples that showcase your ability to deliver high-quality code with minimal supervision, as this aligns with what Digis is looking for in a candidate.
✨Communicate Effectively in English
Since a B2+ level of English is required, practice articulating your thoughts clearly and confidently. Be ready to explain complex technical concepts in a way that is understandable, as effective communication will be key when collaborating with the client's team.
