AI Architect (all Genders) - Bcg Platinion Zurich, Switzerland

BCG BCG · Consulting · Zurich, Switzerland · Technology and Engineering

This role focuses on designing and implementing AI-driven architectures and platforms for enterprises, specifically focusing on agentic systems and autonomous delivery pipelines. The architect will translate enterprise knowledge into scalable business impact, establish trusted AI engineering environments, and implement evaluation and security mechanisms. The role involves hands-on experience with AI systems like LLMs and AI agents, and modern software delivery approaches.

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 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
  • Familiarity with 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 German and English

Nice to have

  • agentic AI
  • LLM orchestration
  • AI-native architectures
  • AI agents
  • machine learning platforms
  • DevSecOps
  • CI/CD pipelines
  • automated testing
  • platform engineering
  • agent assembly lines
  • execution harnesses
  • context engineering
  • secure and scalable enterprise architectures

What the JD emphasized

  • agentic AI
  • LLM orchestration
  • AI agents
  • autonomous development

Other signals

  • design agentic platforms
  • autonomous delivery pipelines
  • intelligent systems
  • AI-driven architectures
  • LLM orchestration
  • AI agents