AI Architect (all Genders) - Bcg Platinion

BCG BCG · Consulting · Cologne, Germany +6 · Technology and Engineering

The role focuses on designing and implementing AI-driven architectures and agentic platforms for enterprises. This includes developing AI-powered delivery pipelines, establishing trusted AI engineering environments with governance and traceability, and implementing evaluation and security mechanisms for AI-generated systems. The role also involves translating enterprise knowledge into machine-readable structures to enable autonomous development and embedding AI sustainably into existing system landscapes.

What you'd actually do

  1. You design AI-driven target architectures and conceptualize AI-based software factories—from “dark software factories” to autonomous software development at enterprise scale
  2. You develop AI-powered delivery pipelines that translate development processes, engineering standards, and architectural guidelines into machine-executable workflows
  3. You establish trusted AI engineering environments by designing governance mechanisms with multi-layered validation, clear identity boundaries, and end-to-end traceability
  4. You implement evaluation and security mechanisms such as automated testing and evaluation pipelines, architecture compliance checks, and red-teaming approaches for AI-generated systems
  5. You translate enterprise knowledge into machine-readable structures—such as architecture decisions, domain models, APIs, and business rules—to enable autonomous development

Skills

Required

  • Degree in Computer Science, Information Systems, AI Engineering, or a related field
  • Analyze, design, and optimize state-of-the-art, tailored IT architectures
  • Strong understanding of legacy systems, enterprise solutions, and current market trends
  • Hands-on experience with AI systems, such as LLM-based applications, AI agents, or machine learning platforms
  • Familiarity with modern software delivery approaches, including DevSecOps, CI/CD pipelines, automated testing, and platform engineering
  • Understanding of concepts like agent assembly lines, execution harnesses, or context engineering
  • Ability to translate complex business requirements into technical architectures
  • Effective communication with both technical and non-technical stakeholders
  • Fluency in both German and English

Nice to have

  • Experience with agentic AI
  • Experience with LLM orchestration
  • Experience with AI-native architectures
  • Experience embedding AI sustainably into existing system landscapes and operating models
  • Experience translating vision into measurable business impact

What the JD emphasized

  • agentic AI
  • LLM orchestration
  • AI-native architectures
  • AI agents
  • agent assembly lines
  • execution harnesses
  • context engineering

Other signals

  • design agentic platforms
  • autonomous delivery pipelines
  • intelligent systems
  • AI-driven architectures
  • LLM orchestration
  • AI-native architectures
  • AI agents
  • agent assembly lines
  • execution harnesses
  • context engineering