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4 дня назад

Senior Microsoft Foundry AI Architect (AI)

Формат работы
hybrid
Тип работы
project
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior Microsoft Foundry AI Architect (AI): Building production-ready AI agents, integrations, and LLM-powered applications with Microsoft Foundry and Azure AI services with an accent on secure platform architecture, generative AI, and cloud integrations. Focus on designing scalable AI platforms, developing agentic workflows, integrating APIs and SDKs, and optimizing solutions for reliability and performance.

Location: Leeds, England, United Kingdom; Workplace: Hybrid

Company

hirify.global is a technology company focused on accelerating digital delivery and helping organisations build stronger digital products and teams.

What you will do

  • Design and build Microsoft Foundry platforms, applying best practices for security and architecture.
  • Build and configure AI agents using Microsoft Foundry, Azure AI services, and generative AI technologies.
  • Develop and test LLM-powered applications and agentic workflows.
  • Integrate AI capabilities into existing applications and technology platforms using APIs, SDKs, and cloud services.
  • Apply software engineering practices including testing, version control, and CI/CD.
  • Troubleshoot and optimize AI applications for performance, reliability, and scalability.

Requirements

  • Experience designing architectures and clearly articulating technical decisions.
  • Strong software engineering experience, preferably with Microsoft Azure.
  • Hands-on experience with Microsoft Foundry, Azure OpenAI, Copilot Studio, or related Azure AI technologies.
  • Experience with generative AI, LLMs, or AI agents, plus API and SDK integrations.
  • Programming experience with Python, C#, JavaScript, or TypeScript.
  • Understanding of cloud application development and modern engineering practices.

Nice to have

  • Experience with other AI platforms, including Bedrock.
  • Infrastructure as code experience with Terraform or Bicep.
  • Knowledge of RAG, embeddings, vector databases or search, and Azure AI Search.
  • Experience with prompt engineering, LLM application evaluation, Azure DevOps, or GitHub Actions.

Culture & Benefits

  • Contract engagement starting as soon as possible.
  • Flexible working arrangements are considered subject to role requirements.
  • Equal-opportunity workplace with reasonable adjustments available where needed.
  • Work with senior engineers and architects on evolving AI technologies and technical standards.

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