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Senior AI Engineer

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Summary

Senior AI Engineer in a ~10-person AI Centre of Excellence inside a large global technology company, owning architecture and delivery of AI-powered products and applied research using Azure AI services (Azure OpenAI, Foundry), Python/C#, React, and Terraform. Remote-first across Northern Ireland, no billable client work.

Senior AI Engineer | Belfast (Remote-First) | AI Centre of Excellence

At a Glance

  • Sits within a dedicated AI Centre of Excellence
  • Stack: Azure, Python, React, Terraform
  • Northern Ireland - Remote working

About the Company

A large, well-established global technology company with a dedicated AI Centre of Excellence - a team set apart from its core consulting and digital services divisions, focused purely on applied research and product builds using the latest Microsoft AI technology.

Role Overview

You'll join a close-knit team of around 10-11 engineers (the majority in Belfast, with others in Poland, Birmingham, and London) as a Senior AI Engineer, providing technical leadership on AI-powered products and applied research work. This isn't a billable, consulting-style role - there's no utilisation target and no client delivery pressure. The team is genuinely AI-first: they're looking for strong, well-rounded engineers rather than candidates who tick every box, whether your background is more AI-shaped or more software-shaped.

Key Responsibilities

  • Provide technical leadership and own architecture, planning, and delivery for AI-powered products and applied research projects
  • Build and integrate AI/ML solutions - model integration, evaluation, prompt engineering, and RAG pipelines - using Azure AI services (Azure OpenAI, Microsoft Foundry, Cognitive Services)
  • Design and develop across the full stack, from API design and data pipelines through to front-end integration
  • Coach, mentor, and support the development of junior engineers within the team
  • Drive modern CI/CD practice, including model versioning, experiment tracking, and automated evaluation for ML/AI workloads

What You'll Need

Essential:

  • Strong hands-on experience in Python or C#/.NET, with real experience building AI/ML-powered products (model integration, evaluation, prompt engineering, or RAG)
  • Technical experience - owning architecture, planning, and delivery for a product or project, with a track record of coaching and developing junior engineers
  • Experience with Microsoft Azure AI services (Azure OpenAI Service, Microsoft Foundry, Cognitive Services) or an equivalent cloud AI platform

Desirable:

  • Familiarity with the Microsoft agent ecosystem - Microsoft Agent Framework, Copilot Studio, Microsoft 365 Agents SDK, or Semantic Kernel
  • Understanding of responsible AI practice - content filtering, PII handling, bias testing, governance of autonomous agent actions
  • Experience with vector databases or search indices, and broader public cloud platforms (Azure or AWS)

Benefits & Package

  • £50k-£80k DOE, plus a 5% performance/risk element
  • Fully remote-first NI Wide - no mandatory office days, with an optional Wednesday in-office and roughly monthly full-team get-togethers
  • Straightforward two-stage interview process - culture and skills, then a technical deep dive - no take-home assessment

Get in touch with Colin directly at

Skills:
AI Engineer Azure Python React


WHJS1_NI

What they ask for

Required

  • Strong hands-on experience in Python or C#/.NET
  • Real experience building AI/ML-powered products (model integration, evaluation, prompt engineering, or RAG)
  • Technical leadership: owning architecture, planning, and delivery for a product or project
  • Track record of coaching and developing junior engineers
  • Experience with Microsoft Azure AI services (Azure OpenAI, Microsoft Foundry, Cognitive Services) or an equivalent cloud AI platform

Preferred

  • Familiarity with the Microsoft agent ecosystem (Microsoft Agent Framework, Copilot Studio, Microsoft 365 Agents SDK, or Semantic Kernel)
  • Understanding of responsible AI practice (content filtering, PII handling, bias testing, governance of autonomous agent actions)
  • Experience with vector databases or search indices
  • Experience with broader public cloud platforms (Azure or AWS)

Skills

See also

AI Engineering jobs by country — openings, pay and top skills →

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