AI Architect
Capco is hiring an AI Architect in Brno and Prague, Czechia. Level rates it ; you can apply on Capco.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions Copilot, Databricks and MLOps among its tools and skills.
- Capco has 702 other open roles on Level.
AI in this role
Shape the Future of Financial Services with Capco
At Capco, we specialize in management consulting and software development, partnering with leading international banks and insurance companies across Western Europe. Our innovative approach and collaborative culture make us the ideal place for professionals looking to make an impact in financial services technology.
Want to learn more about our culture and people? Visit us: Capco Careers Slovakia
Why Join Us?
- Prestigious Clients & Exciting Projects – Work with top-tier banks on transformation projects that redefine financial services.
- Continuous Learning & Development – Access to technical and soft skills training, professional certifications, and full access to the Udemy online learning platform.
- Flexible Work Environment – we provide flexibility to work remotely from the home office within Czech Republic
- Attractive Benefits Package:
✅ Paid sick days
✅ 25 vacation days (regardless of age)
✅ Monthly cafeteria allowance (1.285 CZK/month) or contribution to the 3rd pillar
✅ Fully paid meal vouchers
✅ Multisport card with employer contribution
✅ Smartphone with 1TB data + Laptop - Well-being & Community Engagement – Join yoga lessons, mental health webinars, running challenges, sports activities, or participate in our volunteering days.
- Competitive Compensation (adjusted based on experience) + annual bonus & benefits package.
- Long-term career – Indefinite period contract with opportunities for career growth.
Role Description
We are looking for an experienced AI Architect to support your client's data-platform delivery in a regulated financial services environment. You will shape the architecture connecting priority sources to a governed Azure foundation, transforming data into the UI Enterprise Data Model and enabling reusable data products for APIs, Power BI, analytics and AI. You will combine target-state architecture with hands-on delivery, guide engineers and establish governance, integration and operational patterns.
- Act as the bridge between business, IT, Risk Management / Compliance and engineering to translate AI use cases and functional / non-functional requirements into scalable, secure and governed architectures
- Design target architectures and reusable patterns for agentic AI, including memory, tools / skills, data access and integration with your client's governed data platform
- Design and oversee AI / MLOps lifecycle capabilities, including monitoring, tracing, evaluation, operational readiness and controlled transition into production
- Define and guide API-first and MCP-based integration patterns, including secure access to data and services through the project's API / MCP gateway
- Jointly with Risk Management / Compliance, evolve AI governance, risk, security and guardrail requirements for agentic AI and high-impact use cases
- Support enablement of Microsoft Copilot Cowork, Agent Mode, Agent Builder and Copilot Studio in line with the target architecture and governance framework
Skills and Expertise
- You can translate ambiguous business needs into target architectures, roadmaps and implementation requirements and communicate effectively with senior stakeholders
- You have several years of experience in the architecture and delivery of AI solutions in financial services; experience with Asset Management / Investment Banking is preferred
- You have strong practical understanding of Azure AI Foundry and Databricks and how governed data platforms support AI, analytics and agentic use cases
- You have hands-on experience with Microsoft Copilot capabilities including Cowork, Agent Mode, Agent Builder, Copilot Studio and Power BI
- You understand agentic AI architecture patterns, AI / MLOps lifecycle requirements, monitoring and evaluation, and the transition of AI solutions into controlled operations
- You have experience with MCP / API-first development practices and designing secure integrations between AI services, data products and enterprise applications
- You understand AI governance, risk, guardrails, access control and data-protection considerations for high-impact use cases; familiarity with Okta and Microsoft Purview is advantageous
- Fluency English (German is a big advantage)
Your Hiring Journey
✅ Screening Call – Introductory chat with our recruiter
✅ Technical Interviews (1-2 rounds, depending on the project) – Discuss your skills with our experienced Capco colleagues
✅ Feedback & Offer – Receive an offer to join our team!
Why Capco? Because You Matter.
At Capco, we prioritize your career growth and well-being. You will have a personal coach to support your development and a flat hierarchy that encourages you to share and implement your ideas. Plus, our team events, sports activities, and networking opportunities help you stay connected and engaged beyond work.
Curious to learn more? Apply now – it only takes 5 minutes!
📩 Contact: Zora Paulikova – zora.paulikova@capco.com
💻 Connect on LinkedIn: Zora Paulikova | LinkedIn
#fulltime
How we rate this
AI Architect at Capco rates 68 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you monitor a model once it's live, and how do you know it needs retraining?
- Walk me through how you've used Copilot in your day-to-day work.
- What are the limits of Databricks that you've run into, and how did you work around them?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: ML Ops, Copilot, and Databricks. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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