Senior Intelligent Automation Engineer - UiPath

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

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,

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/ Find Jobs in Germany on Arbeitnow