Location
London

Hours
Full Time

Salary
Negotiable

About the Role
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.

This role is not solely an "ivory-tower" architecture position; pragmatic execution, hands-on prototyping, and deep collaboration with delivery teams are essential. It is ideal for a visionary technologist who thrives under pressure, sets uncompromising engineering standards, and commands the technical respect of a large engineering organization.

Key Responsibilities
- 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 ensuring adherence to non-functional requirements such as scalability, maintainability, performance, latency, and security
- Lead AI architecture roadmap and integration of AI/ML capabilities including Generative AI into enterprise products
- Establish AI governance, security guardrails, data privacy controls, and ethical compliance standards
- Champion AI-driven engineering tooling to enhance developer productivity
- Architect scalable data pipelines to support reliable model training, fine-tuning, and low-latency inference
- Act as a senior technical leader and mentor across multiple engineering domains
- Ensure architectural coherence balancing enterprise standardization with agile team autonomy
- Manage technical debt and long-term platform health
- Lead investigations into complex performance issues and systemic incidents
- Remain hands-on with R&D, prototyping, and validating architectural assumptions
- Collaborate with business leadership and product owners to translate commercial objectives into technical roadmaps
- Act as a trusted advisor communicating complex technical trade-offs and risks in business-centric language

Technology Environment
You will architect solutions within a broadly evolving and heterogeneous technology landscape including:
- Compute & Services: Java, .NET, Python, Cloud-native microservices
- Data & Analytics: Databricks, Microsoft Fabric, AWS Glue, Athena, Event Streaming (Kafka)
- AI & ML: Azure OpenAI, LLM integration patterns, Vector Databases
- Integration & Storage: Azure Data Factory (ADF), SQL Server, Enterprise relational platforms
- Infrastructure: Azure, AWS, and Hybrid Cloud networks
Candidates are expected to demonstrate architectural abstraction skills to design systems spanning varied stacks and rapidly build context.

About London Stock Exchange Group
Join us and be part of a team that values innovation, quality, and continuous improvement. LSEG is a leading global financial markets infrastructure and data provider, driving financial stability, empowering economies, and enabling customers to create sustainable growth. Our culture is built on values of Integrity, Partnership, Excellence, and Change. We are a dynamic organisation of 25,000 people across 65 countries, committed to diversity, inclusion, and sustainability. We offer a collaborative and creative culture, tailored benefits including healthcare, retirement planning, paid volunteering days, and wellbeing initiatives. We are proud to be an equal opportunities employer and support reasonable accommodations for religious practices and disabilities.

Experience
- 8+ years of hands-on software engineering experience
- At least 3+ years as a Principal or Senior Architect designing large-scale, high-throughput, mission-critical enterprise distributed systems
- 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)
- Experience designing architectures supporting AI/ML workloads including LLMs, predictive analytics, and vector search
- Deep understanding of security architecture, secure SDLC, data privacy, and compliance in financial services
- Advanced knowledge of fault-tolerant architectures, SRE principles, observability, and cloud-native resilience patterns
- Exceptional stakeholder communication and influence skills across cross-functional teams and executives

About you
- Visionary technologist with pragmatic execution skills
- Comfortable working hands-on with prototyping and R&D
- Strong leadership and mentoring capabilities
- Ability to balance enterprise standards with agile team autonomy
- Skilled at translating complex technical concepts into business language
- Thrives in a high-pressure, regulated environment with uncompromising engineering standards

Qualifications
No specific formal qualifications are mandated; however, extensive relevant experience and proven architectural expertise in complex enterprise environments are essential.