Dublin 1, Ireland | Posted on 02/11/2026
Enterprise Intelligence & Workflow Automation
About :
This role is with an award-winning Data & AI firm helping modern enterprises accelerate their digital evolution.
By combining product-led innovation with deep technical expertise, they provide the strategies and platforms necessary to drive rapid, measurable outcomes.
They don't just implement technology, they fuel growth and operational excellence through AI-native transformation.
Overview :
We are looking for a seasoned, hands-on Engineer to lead the architectural design, development and deployment of custom, enterprise-grade AI solutions.
In this role, you won't just be building prototypes; you will be responsible for the end-to-end production delivery of AI-enabled applications that drive real business value.
You will bridge the gap between complex document intelligence and seamless workflow automation, ensuring every solution is scalable, extensible, and robust.
Core Responsibilities :
Production-Grade Engineering:
Shift AI concepts from experimentation into high-availability production environments on the Microsoft Azure platform.
Architectural Stewardship:
Design custom AI workflows and service-oriented architectures that integrate deeply with enterprise ecosystems.
Data Extraction & Intelligence:
Architect large-scale document processing pipelines that convert unstructured data into actionable business insights.
Lifecycle Ownership:
Take full accountability for the development lifecycle from initial technical scoping and API design to deployment, monitoring, and iterative refinement.
Mandatory Technical Qualifications :
To be considered for this role, you must demonstrate "in-the-trenches" experience in the following areas:
A proven track record of deploying business-critical AI applications (not just POCs or lab demos).
Experience monitoring and scaling AI workloads in live environments.
You can articulate the transition of a specific project from prototype to a multi-user production state.
Deep expertise in building bespoke workflows using
Azure AI Services
and
Document Intelligence
.
Nuanced understanding of the Azure ecosystem, knowing when to leverage native services and when to engineer custom workarounds for service limitations.
Note: This role is for builders, not buyers.
Experience limited to configuring "off-the-shelf" SaaS or vendor-managed Copilots is out of scope.
3.
Enterprise Software Foundations (.NET / Python)
Strong backend engineering proficiency in
.NET
and/or
Python
.
Experience with API-first, layered architectures and integrating AI components into complex enterprise workflows.
Note: We are seeking engineers who build and maintain backend services; low-code/no-code specialists will not be a fit.
Hands-on experience extracting structured data from complex document repositories (e.g., SharePoint Online).
Ability to design systems that remain accurate and explainable as document volume and variety increase.
The Profile We Are Looking For :
Owner's Mindset:
You take personal accountability for the architectural integrity and long-term performance of your code.
Collaborative Strategist:
You can translate ambiguous business requirements into technical roadmaps and communicate effectively with Enterprise Architects and stakeholders.
Problem Solver:
You have a history of identifying where standard AI services break down and engineering the custom logic required to fix them.
Duration:
Initial 6-month contract with a high probability of extension.
Commitment:
Full-time (5 days per week).
Location:
Onsite - Dublin (3 Days / Week).
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