AI Solutions Architect – Gen AI – London | BCG Platinion

Overview

In this role you will shape AI-driven architectures for enterprise‑scale impact, partnering with cross‑functional teams to translate business intent into scalable platforms. You’ll design AI-enabled software factories and delivery pipelines, embedding governance, security, and compliance into autonomous development. This is a global role at BCG Platinion, combining hands‑on engineering with strategic architecture to transform client landscapes. You join a frontier tech team focused on AI platforms and next‑gen delivery at scale.

Responsibilities

• Design AI-driven target architectures and conceptualize AI-based software factories
• Develop AI-powered delivery pipelines translating processes and standards into executable workflows
• Establish governance with multi-layered validation, identity boundaries, and end-to-end traceability
• Implement automated testing, evaluation pipelines, architecture compliance checks, and red-teaming for AI systems
• Translate enterprise knowledge into machine-readable structures (architecture decisions, domain models, APIs, business rules) for autonomous development
• Translate vision into measurable business impact by embedding AI into existing landscapes and operating models

Key requirements

• Degree in Computer Science, Information Systems, AI Engineering or a related field
• Experience designing, analyzing, and optimizing state-of-the-art IT architectures with legacy and enterprise solutions
• Hands-on with AI systems (LLM-based apps, AI agents, or ML platforms)
• Familiarity with modern software delivery (DevSecOps, CI/CD, automated testing, platform engineering)
• Knowledge of agent assembly lines, execution harnesses, and context engineering in secure, scalable enterprise architectures
• Ability to translate complex business requirements into technical architectures and communicate across technical and non-technical stakeholders
• Thrives in interdisciplinary, global teams and willing to travel

• cross-functional collaboration
• effective communication
• problem solving
• LLM-based applications
• AI agents
• machine learning platforms

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