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Salary
≈ $30k – $56k per year (Estimated)
Location
In office (Bengaluru, Chennai, Pune)
Seniority
Staff · 7+ years exp

First seen by Alion on Oct 22, 2026.

Overview
Company
Impact
Profile match
Brit Insurance Are A Global Leading Provider Of Insurance And Reinsurance. We Focus On Underwriting Complex And Largescale Risks For Brokers. Learn More.

We are looking for an experienced Data and AI Architect to join our passionate team and define the architecture underpinning our digital and analytical ambitions.


Responsibilities:

  • Enterprise Architecture: Support and design our enterprise data strategy across data lake, data warehouse, and delta lakehouse structures.
  • Cloud and AI Engineering: Evolve our Azure cloud-native data platform to enable ingestion, curation, and analytical/generative AI use cases.
  • Agentic and Traditional AI: Partner with data science and domain teams to architect agentic AI systems and automated decision flows.
  • Governance and Regulatory Integrity: Ensure end-to-end architectures are explainable, secure, and compliant with Lloyd's and FCA regulatory expectations.
  • Technical Leadership: Act as a trusted champion alongside the Head of AI Enablement, mentoring data engineers and data scientists in modern architectural disciplines.


Requirements:

  • Cloud Expertise: Extensive experience architecting data and AI solutions in Azure (Azure Data Factory, Azure Data Lake, Databricks/Spark, and SQL Server).
  • Data Modelling: Deep expertise in complex data modelling, Delta Lakehouses, master data management, APIs, and event-driven architectures.
  • AI/ML Tooling: Experience with MLOps frameworks (MLflow and Azure ML) and LLMOps (LangChain, Vector DBs, and RAG).
  • Agentic Systems: Familiarity with agentic AI orchestration (e. g., AutoGen, CrewAI, LangGraph).
  • Insurance Domain Knowledge: Experience in the London Market, UK Commercial, or Reinsurance (familiarity with Lloyd's CDR, DDM, or Blueprint Two is a strong plus).

Skills

azure, data modeling, data modelling, databricks, master data, mdm, spark

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