AI / Emerging Technologies Solutions Architect

Test Triangle Limited; Ireland; On-site; EUR 110,000 - 170,000; Full time

Job summary

Test Triangle Limited is seeking an AI / Emerging Technologies Solutions Architect to lead strategy-to-run delivery of AI systems and shape end-to-end architecture. The role involves data design, secure cloud foundations, and responsible AI practices within a hybrid Ireland-based setting.

Ideal candidates will have 7+ years of senior experience, strong English proficiency, and a track record delivering enterprise-scale AI/analytics projects with modernization and cloud migration experience.

Qualifications

• Senior level experience with minimum 7 years.
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Responsibilities

• Lead strategy-to-run delivery of AI systems and end-to-end architecture.
• Design data retrieval and secure cloud foundations.
• Provide technical leadership and mentorship across teams.
• Collaborate with IT and business units for modernization and cloud migration.
• Ensure governance, security, and quality in engineering practices.

Skills

Problem-solving

Stakeholder management

Collaboration

Governance

Security best practices

Documentation

Strategic thinking

Technical leadership

Architecture & design

Stakeholder influence

Transformation leadership

Tools

Microsoft Fabric

Power BI

SharePoint

Power Platform

AI/ML implementation

API-led integration

Microservices

Data Lakehouse

Job description

AI / Emerging Technologies Solutions Architect

Full time | Test Triangle | Ireland

Posted On 11/08/2026

Job Information

Work Experience 5+ years

Government & Public Sector

Not Disclosed

City Newbridge / Curragh

State/Province Kildare

R51

Job Description

Job Title: AI / Emerging Technologies Solutions Architect

Location: Newbridge / Curragh, Co. Kildare, Ireland (Hybrid working Model – 2-3 days per week onsite)

Contract Duration: contract of one (1) year duration with an option to extend on an annual basis up to a maximum of four (4) years

Client Overview

The client both require a partner to supplement our existing IT software development teams in the delivery of strategic projects, and IT consultancy.

IT software support & development services are provided to both organisations by our internal team. The services include but not limited to IT consulting, Digital Transformation, custom software development, web application development, web API development, Artificial Intelligence, providing ongoing support & maintenance for bespoke applications, database development & support, and Content Management System (CMS) development & support. The IT functions of the client also provide a range of core business applications to support business activities.

The Client is progressing the enhancement and modernisation of several bespoke digital systems. These initiatives may include the development and support of custom applications across areas such as the administration of horse racing, finance operations, integrity and compliance services, Raceday and event management, data warehousing and analytics, CRM extensions, SharePoint solutions, cloud‑based services, eCommerce, web platforms, content management, and other specialised systems.

Role Overview

Leads strategy-to-run delivery of AI systems, provides leadership on end-to-end architecture, data & retrieval design, responsible AI and secure cloud foundations.

Mandatory Requirements (Pass / Fail): Candidates MUST meet ALL of the following:

Experience

• It is a mandatory requirement, that the resources proposed have senior level experience, with a minimum of relevant 7 years' experience.

English Language Proficiency (MANDATORY):

• CEFR C2 Proficiency/Mastery (or equivalent)

• If there is no certificate, fluency will be assessed at presentation stage

• Application and Database Migration & Modernisation Services

o Client is looking for an IT development partner to provide services to assist the client IT team to modernise our applications and databases to align with cloud computing capabilities, modern architectures, and business strategies. This will include moving applications and data from the current environment to Microsoft Azure, and modernising applications to transform from rigid monolithic applications to modular, flexible and cloud-native ecosystems, enhancing applications to meet modern business needs and technical standards.

o Agility & speed: Faster release cycles, feature velocity, and experiment cadence.

o Resilience & performance: Higher availability, elasticity, and improved user experience.

o Security & compliance: Strong identity, data protection, and governance baselines.

o Cost Optimizations: Rightsized compute, managed services (reduced toil), pay-as-you-go, reservations/savings plans.

o Data readiness for AI/analytics: Cleaner, governed data platforms that feed reporting/AI.

o Reduced technical debt: Fewer monolith bottlenecks, clearer service boundaries.

Candidate Requirements

Candidates should demonstrate:

• Strong experience in their relevant technology discipline.
  
• Experience delivering enterprise or complex business applications.
  
• Strong problem-solving and analytical skills.
  
• Excellent communication and stakeholder management capability.
  
• Ability to work effectively with internal technology and business teams.
  
• Experience working within structured development and governance environments.
  
• Strong understanding of security, quality and engineering best practices.
  
• Ability to work independently while operating effectively within a wider team.
  
• Experience delivering measurable business or technology outcomes.
  
• Strong documentation and knowledge transfer skills.
  
• For senior roles, candidates should additionally demonstrate:
  
• Strategic thinking.
  
• Technical leadership.
  
• Architecture and design capability.
  
• Experience influencing senior stakeholders.
  
• Experience leading complex transformation initiatives.
  
• Ability to translate business objectives into practical technology solutions.
  

Experience in the following areas would be advantageous:

• Legacy application modernisation.
  
• Microsoft Fabric.
  
• Data Lakehouse architectures.
  
• Power BI.
  
• SharePoint and Power Platform.
  
• AI/ML implementation.
  
• Responsible AI.
  
• API-led integration.
  
• Microservices and modular architectures.