Architect, ADC/Quant

lseg; Greater London; Sur place; GBP 120 000 - 180 000; Plein temps

Résumé du poste

LSEG in London seeks an expert Architect to drive technical vision, system design, and governance for a large-scale engineering program spanning multiple domains. You will be the premier technical authority, shaping mission-critical enterprise systems, data ecosystems, and AI integration strategies.

The role requires defining target architecture, establishing patterns for high availability, and guiding security and regulatory compliance in the London financial services context, while partnering

Qualifications

• 8+ years hands-on software engineering experience with 3+ years as Principal or Senior Architect.
• Experience designing large-scale, high-throughput enterprise distributed systems.
• Strong data architecture and cloud experience across Azure and AWS.
• Proven ability to lead governance, security, and regulatory compliance in finance.

Responsabilités

• Define and own end-to-end target state architecture across diverse systems and data platforms.
• Publish and champion architectural blueprints, design patterns, and engineering standards.
• Lead the Architecture Review Board to enforce non-functional requirements like security and performance.
• Lead AI strategy and adoption for enterprise products, including LLM integration and MLOps readiness.
• Mentor Principal Engineers and Tech Leads, ensuring coherence across stacks.
• Investigate complex performance issues and prototype new AI tools before scaling.

Connaissances

Architectural Experience

Databricks

Microsoft Fabric

Data Mesh

Data Integration

Relational Platforms

Hybrid Cloud

Multi-Cloud

Azure

AWS

AI Architecture

LLMs

Security Architecture

SRE Principles

Stakeholder Leadership

Description du poste

We are seeking an expert 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 hands-on in the R&D space; write prototype code, execute Proof-of-Concepts ( PoCs ), and directly validate architectural assumptions (specifically around new AI tools or cloud services) before scaling them to development teams.

Stakeholder Alignment & Commercial Awareness

Collaborate closely with business leadership, product owners, and Development Managers to translate strategic commercial objectives into executable technical roadmaps.

Act as a trusted advisor, articulating complex technical trade-offs, risk mitigation strategies, and system capabilities in clear, business-centric language.

Technology Environment

Compute & Services: Java, .NET, Python, Cloud-native