---
title: 'AI Engineering Lead/Architect at Roboyo'
canonical: 'https://feeny.ai/job/ai-engineering-lead-architect-roboyo-ukraine-sa98g0z2nk2e'
type: 'job'
last_seen: '2026-09-13'
---

# AI Engineering Lead/Architect at Roboyo

- **Company:** Roboyo
- **Location:** Ukraine
- **Posted:** 2026-09-02
- **Last confirmed live:** 2026-09-13
- **Apply:** https://job-boards.eu.greenhouse.io/roboyo/jobs/4966671101

## Job description

Roboyo AI is a category shaper in Applied AI and Agentic Automation. We help leading enterprises move from automation projects and AI experiments into governed, production-grade systems that execute real work across workflows, processes, products and services.

Our heritage is in scaled enterprise automation; our future is Applied AI and Agentic Automation: autonomous agents, AI engineering squads, process orchestration, data and knowledge foundations, and human-in-the-loop governance embedded deeply into how our clients operate.

We are not here to sell AI theatre. We are here to turn AI into working systems, measurable outcomes and repeatable transformation programs.

## About the Role

Across our practices, AI experimentation is organic: agents and accelerators get prototyped, they work, and they find their way to the teams who need them. Working is not the same as dependable, tested, hardened, properly deployed, and fit for a regulated client. Closing that distance and turning experimentation into an engineering discipline is the job.

You will build and lead our AI engineering team: you, a Senior Engineer and a DevOps Engineer, and own the path from idea to production across every asset class. You will work with the SMEs within the practices to bring the prioritised pilots into products that deliver return. You are the final technical decision-maker on what ships. Roughly two-thirds of your week is hands-on: architecture, code, review. The rest is direction, hiring and the operating model. You will not be post-technical in this role.

## Responsibilities

- Own the AI delivery operating model and the path from prototype to production, from intake, qualification, build, hardening to rollout across accelerators and client-facing IP.
- Build and lead the AI engineering team: hire the two engineers, set the standards, review the code, unblock, grow – and work with SMEs across practices to design, build, deploy and maintain the apps.
- Personally build, ship, harden agentic solutions, and own the assets you oversee.
- Own architecture and production standards for all solutions: solution architecture, infrastructure, model selection, validation.
- Turn governance into engineering: policy-as-code, guardrails, eval and release gates that run in the pipeline, controls our regulated clients would recognise, without slowing the build.
- Embed AI capability across our practices: partner with automation, application engineering and consulting SMEs so their prototypes have a path to production.

## Requirements

- 8+ years in Engineering roles (software engineer, architect, platform or engineering lead)
- A production system you owned and defined (not contributed to). You defined its architecture, took it to production, and operated it – an e-commerce platform, ERP, a trading system, an internal product. You can walk us through the trade-offs you made and what you would do differently now.
- Player-coach track record. You have led engineers as their technical lead or manager, owned the architecture of systems they’ve built, while continuing to ship production code yourself. You shipped production code yourself in the last 12 months.
- Azure at expert level. Microsoft Certified: Azure Solutions Architect Expert (AZ-305), or 5+ years designing and running production Azure workloads, AKS or Container Apps, VNets, Entra ID, Key Vault, managed databases, infrastructure as code.
- You have delivered software governed by ISO 27001, SOC 2, DORA, HIPAA or equivalent, and you implemented the controls as running code: release gates, automated checks, policy-as-code, access control in the pipeline.
- At least one production system where Python was the primary language.
- AI-native by practice. You have built your own agents; have run open-weight models yourself (Ollama, llama.cpp, vLLM or similar), and AI coding agents are part of your workflow. Send us something you built – a repo, a write-up, a demo.

What would set you apart?

- Claude Certified Architect (Foundations or Professional)
- Microsoft Agentic AI Business Solutions Architect (AB-100)
- LLM or agentic systems you have already taken to production
- You have deployed accelerators or productised IP across more than one client

What this role is not

Advisory. Research. Management-only. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Privacy Notice: By applying, you consent to the processing of your personal data for recruitment purposes in line with our Privacy Policy: https://roboyo.global/data-privacy/

## About Roboyo

## Company Overview
- **One-liner**: Roboyo is a global professional services company specializing in hyperautomation, agentic AI, and business process automation, helping enterprises transform their operations from strategy to managed services.
- **Entity Type**: Private (Bootstrapped – no external funding rounds found)
- **Headquarters**: Nuremberg, Germany
- **Founded**: 2015
- **Founders**: Not publicly available in the provided sources

## Core Business
- **Primary industry**: Professional services / Automation consulting (Hyperautomation, AI, RPA, Process Mining)
- **Target customers**: B2B – primarily Fortune 500 and large enterprises (22 of Germany’s DAX 40 companies are clients)
- **Mission / purpose**: “To push the boundaries of what’s possible and take it to the Next Level” – rendering the phrase ‘beyond your wildest dreams’ obsolete

## Products & Services
- **Advisory**: AI consulting, health checks, program design, hyperautomation strategy
- **Diagnostic**: Lean diagnostic, process mining, task mining to identify automation opportunities
- **Realization**: Conversational AI, Agentic AI, test automation, RPA, intelligent document processing (IDP), low-code platforms (e.g., Appian, UiPath, Microsoft Power Platform)
- **Enablement (Managed Services)**: Ongoing managed automation services, training & upskilling, Automation as a Service (AaaS)
- **Platform expertise**: Deep partnerships with vendors such as UiPath, Appian, Celonis, Microsoft Power Platform, and others

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Claims to be the “world’s leading Automation professional services company”; operates across 14 countries and 4 continents
- **Notable Clients/Partners**: Many Fortune 500 companies and 22 of Germany’s DAX 40
- **Growth Signals**:
  - Delivered 85% reduction in manual forecasting, saving 20+ hours weekly for a global FMCG client
  - Improved forecast accuracy variance from 35% to 7% using Agentic AI
  - Global headcount spanning 24 cities, 15 countries, and 4 continents

## Competitive Advantages
- **End-to-end automation lifecycle**: From strategy and diagnostics through implementation and managed services – a single partner for the full journey
- **Deep specialization**: Focused exclusively on hyperautomation and agentic AI, not a generalist consultancy
- **Vendor-agnostic expertise**: Works with best-in-class platforms (UiPath, Appian, Celonis, Power Platform) to choose the right tool for each client
- **Proven enterprise credibility**: Strong track record with Fortune 500 and DAX 40 clients

## Strategic Focus
- **Agentic AI as the next frontier**: Actively building and deploying agentic AI solutions (e.g., for AP forecasting)
- **Expansion of managed services**: Scaling “Automation as a Service” and ongoing support offerings
- **Continuous innovation**: Investing in AI consulting, process mining, and low-code to stay ahead of automation trends

## Why Work Here
- **Culture**: Described as a vibrant global community with a “fun, motivating culture” where every employee has a seat at the table. Values include respect, honesty, humor, accountability, and a hunger for learning.
- **Work model**: Hybrid – offices in Nuremberg and other global hubs, with remote work options and a flexible global mobility policy (work and travel to any Roboyo location).
- **Professional development**: Talent Management program with certifications, training workshops, and personalized development plans; partnerships with industry leaders.
- **Recognition**: Quarterly HERO awards celebrating employees who embody company values.
- **Perks**: Employee referral bonuses, team celebrations (ping-pong tournaments, beach volleyball, escape rooms), office dogs, and a strong emphasis on work-life balance.
- **Diversity**: “We embrace differences, applaud individuality” and actively promote diversity across the global workforce.

## Sources
1. [Roboyo About Us](https://roboyo.global/about-us/)
2. [Roboyo Homepage](https://roboyo.global/)
3. [Roboyo Careers](https://roboyo.global/careers/)
4. [Life at Roboyo](https://roboyo.global/life-at-roboyo/)
5. [Roboyo Job Board (Greenhouse)](http://job-boards.greenhouse.io/roboyo)

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