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2 дня назад

AI Solutions Architect

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

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TL;DR
AI Solutions Architect (AI/Enterprise Architecture): Designing AI-driven target architectures, agentic platforms, autonomous delivery pipelines, and intelligent systems that translate enterprise knowledge into scalable business impact with an accent on LLM applications, governance, security, and machine-executable workflows. Focus on embedding AI into complex enterprise landscapes, building evaluation and red-teaming mechanisms, and converting business intent into secure, measurable technical architectures.

Location: Amsterdam, Netherlands; willingness to travel as needed is required.

Company

BCG Platinion is a technology consulting organization that designs AI strategies, enterprise architectures, and digital solutions for complex business challenges.

What you will do

  • Design AI-driven target architectures and AI-based software factories for enterprise-scale autonomous software development.
  • Develop AI-powered delivery pipelines that convert engineering processes, standards, and architecture 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 integrate 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 tailored IT architectures across legacy systems and enterprise solutions.
  • 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

  • Knowledge of agentic AI, LLM orchestration, and AI-native architectures.
  • Experience working in interdisciplinary and global environments.

Culture & Benefits

  • Collaborative and open working culture.
  • Individual learning opportunities and recognized certifications.
  • Access to colleagues and resources across BCG.
  • Work on high-impact technology challenges for leading organizations.

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