Client Engagement Architect; Technology Advisory

Principal Engagement Architect

London, UK

Principal Engagement Architects at Thoughtworks are the delivery and solution leaders for AI-native advisory engagements. This role combines the responsibilities of an engagement manager, product leader, and systems thinker. You will dictate how high-level strategy translates into working solutions and measurable outcomes.

You sit at the center of the engagement, connecting client intent, business outcomes, and execution reality to break down doors, get engagements started, and set up our delivery teams for success. By balancing strong opinions with high intellectual curiosity and flexibility, you bring integrity to technology, driving innovation at the absolute edge of AI strategy.

• Own the delivery of outcomes by translating client goals into clear work streams, milestones, and outputs, driving the "last mile" from idea to implementation.
• Structure and drive AI-native advisory engagements, breaking down complex, ambiguous problems into clear, actionable components across team members, AI agents, and client stakeholders.
• Orchestrate AI-native delivery, designing how AI is used across analysis, scenario modeling, workflow generation, and documentation while effectively managing output quality.
• Ensure quality and coherence across the engagement, reviewing outputs for logical consistency, business relevance, and technical feasibility to build a cohesive narrative.
• Interface directly with client delivery leadership (such as CTOs, CIOs, and program leads), translating advisory recommendations into practical execution paths and navigating tradeoffs in real time.
• Proactively manage risk and execution reality, identifying technical, organizational, or commercial delivery risks early and adjusting the approach to maintain progress.
• Build reusable delivery patterns, capturing and refining repeatable workflows, engagement models, and decision frameworks to expand our library of AI-native advisory assets.

• 8–15 years of experience in consulting and strategy, with a strong background in technology and a proven transition into the advisory and strategy space.
• Highly comfortable with extensive pre-sales work, including pricing engagements and putting together proposals, pitch decks, RFIs, and RFQs.
• Comfortable with new AI tooling, possessing the ability to design workflows around AI, evaluate the confidence of AI output, and continuously enhance your technical skills over time.
• Expert in systems thinking, allowing you to analyze how business processes, technology, data flows, and end-to-end dependencies fit together.

• Thrive in a collaborative, non-hierarchical environment that values transparency, openness, feedback, and continuous change.
• Natural ability to navigate complex stakeholder landscapes, establishing and nurturing relationships while communicating clearly and concisely with senior business and technology leaders.
• High degree of intellectual curiosity and a structured approach to problem-solving, enabling you to think in hypotheses, tradeoffs, and outcomes.
• Understand how to balance AI capabilities with human oversight, knowing how to apply human judgment to direct AI tools effectively and move past anodyne outputs.