Senior Intelligent Automation Engineer - UiPath

Roboyo Group; Berlin; On-site; EUR 140,000 - 190,000; Full time

Job summary

RoboyoAI in Berlin is seeking a senior AI engineering leader to build and lead our AI engineering team, guiding from prototype to production while aligning with governance and compliance. You will own architecture, workflows, and the roadmap for agentic automation.

Two engineers and a DevOps engineer will report to you; you will hire, mentor, and set coding standards while delivering production-grade AI solutions.

Qualifications

• 8+ years in engineering roles with leadership experience.
• Proven track record delivering production AI/automation systems.
• Experience with Azure and cloud-native architectures (AKS, Container Apps).
• Hands-on coding with production-grade systems in Python.
• Implemented governance via policy-as-code, release gates and automated checks.

Responsibilities

• Own the AI delivery operating model from prototype to production across assets.
• Build and lead the AI engineering team; hire, set standards, review code, unblock growth.
• Deliver autonomous AI solutions and own the assets you oversee.
• Define architecture, infrastructure, model selection and validation standards.
• Embed governance with policy-as-code and secure release gates in the pipeline.
• Collaborate with SMEs to turn prototypes into production-ready IP.

Skills

Senior leadership

Architectural design

Python

Policy-as-code

AI agents

Tools

Azure

AKS

Container Apps

Entra ID

Key Vault

Infrastructure as code

Job description

Berlin, Germany

RoboyoAIis 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,productsand services.

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

We are not here to sell AI theatre. We are here to turn AI intoworking systems, measurableoutcomesand 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 isnot the same asdependable,tested, hardened, properly deployed, and fit for a regulated client. Closing that distance andturning experimentation into an engineering discipline is the job.

You willbuildand lead our AI engineering team:you, aSeniorEngineerand a DevOps Engineer,and own the path from idea to production across every asset class.You will work with the SMEs within thepracticesto bringthe prioritisedpilots intoproducts that deliverreturn.
You are the final technicaldecision-makeron what ships.Roughly two-thirdsof 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 r ollout 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 pr acti ces to design, build , deploy and maintain the apps .
• Personally build , ship , harden agentic solutions , and own the assets you oversee .
• Own a rchitecture 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,platformor engineering lead)
• A production system you owned and defined(not contributed to). Youdefinedits architecture, took it to production, andoperatedit– ane-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-coachtrack record. You have led engineersas their technical lead or manager, owned the architecture of systemsthey’vebuilt,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,AKSor 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,vLLMor 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 havedeployed 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.