Senior Architect, ADC​/Quant

We are seeking an expert Senior Architect to drive the technical vision, system design, and architectural governance for a large-scale, technically diverse engineering program. Operating across multiple complex domains, you will serve as the premier technical authority, designing mission-critical enterprise systems, overarching data ecosystems, and leading our artificial intelligence (AI) integration strategy. The successful candidate will set the architectural target state, establish design patterns for highly resilient systems, and ensure technical coherence across a highly heterogeneous technology stack.

You will partner with business stakeholders and engineering management to translate strategic objectives into robust, scalable, secure, and AI-ready architectures, navigating the complexities of a highly regulated, high-expectation environment.

What You’ll Bring (Experience & Competencies) Extensive Architectural

Experience:

8+ years of hands-on experience in software engineering, with at least 3+ years acting as a Principal or Senior Architect designing large-scale, high-throughput, and mission-critical enterprise distributed systems. Deep Technical Breadth & Depth:
Advanced data architecture experience using Databricks, Microsoft Fabric, and large-scale data processing (Data Mesh/Lakehouse patterns). Strong background in data integration and relational platforms Proven experience designing highly available Hybrid and Multi-Cloud architectures (Azure & AWS). AI & Machine Learning Exposure:
Experience designing architectures that support AI/ML workloads, including integrating Large Language Models (LLMs), predictive analytics, and vector search into enterprise applications. Enterprise Governance & Security:
Deep understanding of security architecture, secure SDLC practices, data privacy, and compliance requirements typical of the London financial services sector. Resilience & SRE:
Advanced knowledge of building fault-tolerant architectures leveraging modern SRE principles, robust observability, and cloud-native resilience patterns. Matrix Leadership:
Exceptional stakeholder and client communication skills, with a track record of influencing cross-functional engineering pods, product managers, and C-level executives without requiring direct reporting lines.

Key Responsibilities Architecture & Technical Strategy Define and own the end-to-end target state architecture across diverse systems, data platforms, and cloud integrations. Publish, maintain, and champion architectural blueprints, design patterns, and engineering excellence standards. Lead the Architecture Review Board (ARB) process for the domain, ensuring technical designs strictly adhere to non-functional requirements (NFRs) such as scalability, maintainability, performance, latency, and security.

AI Strategy & Adoption AI Architecture

Roadmap:

Lead the architectural design for integrating AI and Machine Learning capabilities (including Generative AI) into existing and new enterprise products. AI Governance & Security:
Establish secure guardrails, data privacy controls, and ethical compliance standards for AI consumption within a highly regulated environment. Developer Productivity:
Champion the adoption of AI-driven engineering tooling (e.g., AI coding assistants, automated testing generation) to enhance developer velocity and code quality across the portfolio. Data Readiness:
Architect robust, scalable data pipelines (MLOps/LLMOps) to support reliable model training, fine-tuning, and low-latency inference. Technical Leadership & Governance Act as a senior technical leader and mentor to Principal Engineers and Tech Leads across multiple engineering domains. Ensure architectural coherence across a diverse technology stack, balancing the need for enterprise standardization with the autonomy of agile delivery teams. Take ownership of technical debt management strategies and long-term platform health, preventing fragmented or sub-optimal legacy solutions.

Complex Problem Solving & Hands-on Contribution Lead technical investigations into complex performance bottlenecks, major systemic incidents, and architectural pivots. Remain heavily…