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2 дня назад

AI Solutions Architect (Gen AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
AI Solutions Architect (Gen AI): Designing agentic platforms, AI-driven target architectures, and autonomous delivery pipelines that translate enterprise knowledge into scalable business impact with an accent on LLM-based applications, AI-native architectures, and secure platform engineering. Focus on building machine-executable workflows, establishing multi-layered AI governance, and implementing automated evaluation, compliance, and red-teaming mechanisms.

Location: London, United Kingdom; willingness to travel as needed is required.

Company

A technology consulting organization focused on business-critical architecture, digital solutions, AI platforms, and large-scale transformation.

What you will do

  • Design AI-driven target architectures and AI-based software factories for autonomous software development at enterprise scale.
  • Develop AI-powered delivery pipelines that convert engineering processes, standards, and architectural guidelines into machine-executable workflows.
  • Design governance mechanisms with layered validation, identity boundaries, and end-to-end traceability for trusted AI engineering environments.
  • Implement automated testing, evaluation pipelines, architecture compliance checks, and red-teaming approaches for AI-generated systems.
  • Translate enterprise knowledge into architecture decisions, domain models, APIs, and business rules that enable autonomous development.
  • Convert business intent into scalable architectures and embed AI into existing systems and operating models.

Requirements

  • Degree in Computer Science, Information Systems, AI Engineering, or a related field.
  • Experience analyzing, designing, and optimizing IT architectures involving legacy systems, enterprise solutions, agentic AI, LLM orchestration, or AI-native architectures.
  • Hands-on experience with LLM-based applications, AI agents, or machine learning platforms.
  • Knowledge of DevSecOps, CI/CD pipelines, automated testing, and platform engineering.
  • Understanding of agent assembly lines, execution harnesses, context engineering, and secure enterprise architecture.
  • Ability to translate complex business requirements into technical architectures and communicate with technical and non-technical stakeholders.

Nice to have

  • Experience with GenAI platforms and middleware such as Azure AI Foundry, AWS Bedrock, Google Vertex, LangChain, or LlamaIndex.
  • Experience working in interdisciplinary and global environments.

Culture & Benefits

  • Work with cross-functional, vendor-independent teams on technology transformation projects.
  • Access to a global AI platforms group serving clients across multiple regions.
  • Opportunities to work on enterprise-scale AI architecture and digital transformation challenges.
  • Equal opportunity employment with consideration under applicable local laws.

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