About BRIT :
Brit India GCC is the heart of Brit Insurance’s innovation engine. Their team of highly skilled professionals specializes in Data Engineering, Platform Engineering, Full-Stack Web Application Development, Data Management, and Testing. Born in 1995 in London (UK), Brit Ltd. is a leading international general insurance and reinsurance group. Boasting one of the largest and most diverse portfolios in Syndicate 2987, we hold an influential and respected presence at Lloyd's of London. Renowned for our innovative approach to commercial insurance and reinsurance, we at Brit are committed to securing an uncertain future with a hallmark of certainty.
A legacy of excellence, driving innovation and personalized service to create exceptional customer experiences.
Brit has a leadership position at Lloyd’s, the most well-known insurance market in the world. Leadership and Innovation are at the heart of Brit’s passion for “writing the future.” And that means at Brit, we write the risks so our customers can face the future fearlessly.
- Our goal is to attract and retain the best talent in the market and empower those individuals to innovate, and champion the strategic objectives within the business. Our technology and data teams have led some of the most noteworthy developments in the London market :
- Data and AI are key capability to drive Brit’s ambition for digital, innovation, growth and efficiencies. Brit leads the market with respect to our data modernisation journey, delivering on our vision to build a central, trusted, cost efficient, flexible, and scalable cloud native data & AI platform that enables us to harness maximum value from internal and external data for Brit.
- Brit is active in advancing digital trading approaches, most notably with respect to Broker APIs. At Brit, we are designing a multi class of business headless API which connects Brits pricing and document generation to multiple global Broker platforms, Market Hubs, and enables bulk submission ingestion.
- Brit has launched its Underwriting Transformation journey advancing our capabilities deploying digital foundations for pricing and underwriter workbench. Brit’s new modern Underwriting Platform is at the heart of this transformation agenda, with a focus on engineering, upskilling in python, exploring ingestion and analytics, we are actively delivering our digital future.
- Our market leading proprietary machine learning algorithm designed to accelerate the identification of post catastrophe property damage, based on the use of ultra-high-resolution imagery, allows Brit to accelerate service to its customers when they need it most, noted as the first enabler for virtual claims adjusting in the London market.
- We value continuous learning & exploration, encouraging our architects to constantly evolve and take advantage of the best-in-class technology & tooling.
- If you have the drive to work in a flexible, fun, passionate team, translating business needs and functional designs into technology solutions that can be deployed to add value within a business that appreciates the impact of technology, then the role of Data & AI Architect at Brit is where you belong.
Purpose of the Job :
As part of Brit’s technology team, the Data & AI Architect will be responsible for defining and delivering the data and AI architecture that underpins the syndicate’s digital, analytical, and underwriting ambitions.The role will be pivotal in designing and evolving a target data and AI architecture that enables the effective deployment of advanced AI capabilities — spanning traditional machine learning (MLOps), large language models (LLM Ops), and emerging agentic AI — all in support of underwriting excellence, operational efficiency, and regulatory integrity within the Lloyd’s market framework.Operating at the intersection of data, AI innovation, and insurance domain expertise, this position is critical to enabling the end to end data and AI architecture that connects the syndicate’s underwriting, claims, delegated authority, and exposure data in a governed and useable structure.This will require partnering with product owners, other architects, data engineers and data scientists to identify, build and improve data & AI tools, systems and platforms that enhance Brit’s ability to create cutting edge solutions for our customers.Principal Accountabilities :
Support Brit’s Enterprise Data Strategy & Architecture, including data lake, data warehouse, data mart structures, technologies and best practices.Design AI-enabling data assets to support analytical, predictive, and generative AI use cases across the insurance value chain.Design and guide the evolution of a cloud-based data and AI platform in Azure that supports ingestion, curation, and analytics of internal and external market data.Work with data science and domain teams designing agentic AI systems automating decision flows incorporating traditional AI approaches where appropriate.Ensure architectures are explainable, secure, and compliant with both Lloyd’s and FCA regulatory expectations around data use and AI ethics.Act as a trusted data technology and AI framework advisor to the Head of AI Enablement, business sponsors, explaining architectural trade-offs and opportunities in plain language.Provide mentoring and technical guidance to data engineers and scientists to foster a culture of innovation and good architectural discipline.Maintaining close contact with key change initiatives business users to understand and advise on their needs.Provide expertise to enable model changes to be made in a business-meaningful manner.Provide input into resource planning change delivery.Carry out analysis on business related issues impacting systems.Analysis of the rapidly changing AI technology landscape and assessment of its relevance & impact to Brit.Regulatory Conduct Rules :
Act with integrity.Act with due skill, care and diligence.Be open and co-operative with Lloyd’s, the FCA, the PRA, and other regulators.Pay due regard to the interests of customers and treat them fairly.Observe proper standards of market conduct.Education, Qualifications, Knowledge, Skills and Experience :
An expert in data, with substantial experience in the design and delivery of all key layers of Data & Analytics solutions. Experience implementing data and AI solutions in the cloud, specifically in Azure.Capacity to understand business needs and contribute to the delivery of the right solutions to help Brit achieve its strategic goals.Extensive experience in designing streamlined Azure AI and data cloud components, which are modular, flexible, scalable and efficient. Capability to show critical results through deep analysis of the target cloud data platform – namely in terms of costs, performance and usage.Extensive Data modelling and data warehousing design experience, specifically in modern cloud data platforms / delta lake houses. The strong data modelling skills must include complex relationships and historical recording techniques.A flair for problem solving in a dynamic environment.Strong technical skills and awareness of current state of the art of data, analytical and reporting tools and technologies. Hands on Technical design / development experience om Microsoft traditional technology and in the cloudStrong grounding in data modelling, master data, APIs, event-driven architectures, and cloud-native design.SQL Server, Azure Data Lake, Python, Azure Data Factory, Spark / Data Bricks & CI / CD pipelinesExperience in insurance, preferably London Market, UK Commercial and Reinsurance will be valued.Hands-on expertise in MLOps frameworks (MLflow, Azure ML,) and LLM Ops tools (Lang Chain, vector databases, RAG design).Familiarity with Agentic AI concepts and orchestration tools (Autogenic, Crew AI, Lang Graph, or equivalents)Desirable Skills :
Experience with Lloyd’s data frameworks, including Core Data Record (CDR), Delegated Data Manager (DDM), or Blueprint Two data initiatives.Experience embedding AI ethics, explainability, and model risk management frameworks into technical solutions.Experience working in Agile or Data Mesh environments.Strategic mindset with hands-on capability to deliver architecture artefacts and proofs of concept.Clear communicator who can engage effectively across underwriting, data and technology communities.Demonstrated ability to deliver innovation responsibly in a regulated, data-sensitive environment.Collaborative, pragmatic, and forward-thinking.Qualifications :
Degree in Computer Science, Data Engineering, or related technical discipline (or equivalent experience).Cloud certifications (Azure Solutions Architect) are advantageous.AI / ML certifications (Google ML Engineer, Microsoft AI Engineer) are advantageous.Why Join :
Shape the next generation of AI-driven data capability within a Lloyd’s syndicate.Work at the frontier of underwriting innovation, where AI meets complex risk.Join a collaborative and forward-looking culture committed to responsible AI adoption and market-leading performance.