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6 часов назад

AI Architect (AI)

Тип работы
fulltime
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
AI Architect (AI): Defining architecture strategies and reusable patterns for production AI platforms and applications with an accent on agentic systems, multi-agent workflows, RAG pipelines, and cloud infrastructure. Focus on designing scalable and secure systems, governing architecture standards, making build-versus-buy decisions, and enabling cross-functional engineering teams.

Location: UK-Hayes-Hyde Park Hayes

Company

hirify.global Technology provides end-to-end hybrid cloud and AI solutions, including the design, construction, operation, modernization, and optimization of customer cloud environments.

What you will do

  • Define and own architecture strategies for AI platforms and applications across hirify.global.
  • Design scalable, reusable patterns for agentic systems, multi-agent workflows, RAG pipelines, and orchestration frameworks.
  • Define non-functional requirements covering scalability, latency, cost efficiency, and security.
  • Create architecture standards, lead design reviews, and govern consistency across engineering teams.
  • Lead build-versus-buy-versus-partner decisions for AI tooling, frameworks, and infrastructure.
  • Shape the AI engineering roadmap, mentor engineers, and promote responsible AI and AI-native development practices.

Requirements

  • Experience designing complex distributed systems and governing architecture at an organizational level.
  • Production experience with agentic systems, RAG pipelines, and LLM-integrated applications.
  • Expert-level Python, including asynchronous programming, testing, packaging, and production engineering.
  • Deep AWS cloud architecture expertise across compute, networking, storage, and managed AI services.
  • Production experience with LangChain, LangGraph, and AWS Bedrock.
  • Experience designing and governing Kubernetes workloads, including Helm and resource management, plus end-to-end frontend and backend system design.

Nice to have

  • Experience with internal developer platforms, AI enablement tooling, prompt engineering, evaluation frameworks, or LLM observability.
  • Knowledge of MLOps, including model versioning, monitoring, and drift detection.
  • Platform engineering experience with GitOps, service mesh, and infrastructure as code using Terraform or CDK.
  • Experience with multi-cloud or hybrid cloud environments, AI security, governance, responsible AI, or open-source AI tooling.

Culture & Benefits

  • Work within the internal AIR team, building reusable AI infrastructure, agentic workflows, and full-stack applications.
  • Collaborate with product, data, platform, and engineering teams across the organization.
  • Contribute to an environment that values pragmatic architectural trade-offs, technical growth, and responsible AI.
  • Full-time employment with hirify.global Technology.

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