Lead AI Tech Architect – TMT, Product & Tech – London | BCG Platinion

Overview

As Lead AI Tech Architect in BCG Platinion, you shape complex technology landscapes and connect architectural decisions to business outcomes. You’ll guide cross-functional teams to modernise products, scale SaaS and AI-enabled capabilities, and steer transformation roadmaps. Your work strengthens engineering effectiveness and aligns architecture with strategic goals. This role offers impact across global client projects and a chance to influence digital transformation at scale.

Responsibilities

• Diagnose product and technology landscapes to identify critical architectural decisions
• Define target architectures and transformation roadmaps aligned to business outcomes
• Lead end-to-end architecture modules and guide multidisciplinary teams
• Influence senior stakeholders across business, product, and engineering
• Contribute intellectual leadership in areas of distinctive technology expertise
• Advise on architecture governance, due diligence, and assurance of complex programmes
• Improve engineering effectiveness via platform engineering, DevSecOps, SRE, and automation
• Translate architecture recommendations into pragmatic roadmaps and investment cases
• Build networks across architecture, product, engineering, data and AI communities

Key requirements

• 10–15 years of experience in software engineering, architecture, or technology consulting
• Significant TMT experience with deep expertise in at least one Product & Tech domain
• Strategic, hypothesis-driven problem-solving with technical depth
• Proven design and evolution of modern product, platform, and software architectures
• Understanding of AI-enabled and agentic architectures and data foundations
• Ability to communicate high-impact decisions across multiple domains
• Strong executive communication and storytelling skills
• Experience leading multidisciplinary teams and engaging senior stakeholders
• Commercial awareness and specialized expertise in a technology area
• University degree in a STEM-related field or business management; advanced degrees advantageous

• Executive communication
• Cross-functional collaboration
• Strategic thinking
• SaaS, cloud-native, API-led, modular, distributed and event-driven architectures
• Legacy modernization and replatforming
• AI-enabled and agentic architectures

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