Senior Systems Architect – Financial Services

Overview

In this senior role in London you will lead architecture for AI-first, cloud-native solutions and guide large-scale digital transformations for financial services clients. You act as a trusted advisor, shaping technology roadmaps and enterprise architectures while ensuring production-ready delivery. You collaborate with clients, Google representatives, and delivery teams to translate AI and cloud innovations into resilient systems. This is a strategic position at the intersection of technology and business impact, offering a meaningful opportunity to influence outcomes.

Pay / Benefits

• EPAP (ESPP)
• life assurance
• income protection
• critical illness cover
• private medical insurance
• dental care

Responsibilities

• Design and deliver AI-first, cloud-native solutions for enterprise clients
• Lead end-to-end architecture activities including assessments, roadmaps, and platform recommendations
• Serve as a trusted advisor for client stakeholders to align with business objectives
• Guide technical teams during project delivery with architectural oversight and governance
• Support RFx and presales by crafting cloud and AI solutions based on Google tech
• Maintain partnerships with Google and contribute to joint innovation initiatives
• Drive knowledge sharing through patterns, reference architectures and reusable assets
• Facilitate workshops, hackathons and enablement sessions on AI adoption and digital transformation
• Mentor engineers and architects to build strong technical communities within projects
• Stay current with Google Cloud and AI advancements to keep portfolios innovative and competitive

Key requirements

• 10+ years of experience in solution architecture, platform engineering or enterprise IT
• Minimum 5 years in the financial services domain with focus on digital transformation
• Deep expertise in Google Cloud Platform and modern architecture principles
• Proven experience designing AI-native applications and enterprise GenAI solutions, especially with Gemini Enterprise and Agent Platforms
• Experience turning AI prototypes into enterprise-grade solutions, including validation and production readiness approaches
• Strong understanding of SDLC practices, CI/CD and agile delivery methodologies
• Hands-on knowledge of governance frameworks and security models for cloud-native platforms
• Excellent communication skills with ability to engage C-level stakeholders and technical teams
• Fluent in German and English
• Bachelor’s or Master’s degree in Computer Science, Engineering or related discipline
• Ability to travel as required

• Stakeholder engagement
• Mentorship and leadership
• Clear communication
• Google Cloud Platform (GCP)
• AI-native applications and GenAI (Gemini Enterprise)
• Agent Platforms

…