# Senior Enterprise Architect at Swiss Re

Swiss Re is hiring a Senior Enterprise Architect in Bengaluru, India. Level rates it Works on AI ●●●○; you can [apply on Swiss Re](https://jobsbylevel.com/go/fbba55d3-2e39-42c9-885a-3867e72c5e28?utm_medium=ai-agent).

AI Level 3, AI centrality 71 out of 100. Bangalore, KA.

## Details

- Company: [Swiss Re](https://jobsbylevel.com/companies/swiss-re)
- AI level: AI Level 3 (score 71 out of 100)
- Location: Bangalore, KA
- Posted: October 2, 2026
- Apply: https://jobsbylevel.com/go/fbba55d3-2e39-42c9-885a-3867e72c5e28?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-enterprise-architect-at-swiss-re-c12c8c

## Prepare for this job

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## Description

Senior Enterprise Architect Bangalore or Hyderabad, India Artificial intelligence is reshaping the re/insurance industry — and at Swiss Re, we're not just watching it happen. We're architecting it. If you're a seasoned Enterprise Architect with a passion for AI and a talent for turning complex strategy into scalable, production-ready reality, this is your opportunity to leave a lasting mark on one of the world's most innovative financial institutions. About the Role As a Senior Enterprise Architect within Swiss Re's Group Enterprise Architecture function, you will be at the heart of the company's AI transformation. This is a high-impact individual contributor role with broad enterprise exposure — working at the intersection of business ambition and technology delivery. Depending on your experience and business priorities, you may focus on Architecture Delivery (shaping and driving strategic AI initiatives end-to-end) or Enablement & Governance (building the enterprise capabilities, standards, and guardrails that allow AI to scale safely and consistently) — or contribute across both. Either way, you'll be a trusted advisor to senior stakeholders and a key voice in shaping Swiss Re's AI architecture landscape globally. Key Responsibilities AI Strategy, Use Cases & Target Architecture Lead engagement with business areas and Domains on AI initiatives, shaping use cases, transformation roadmaps, target architectures, blueprints, and transition plans Contribute to Swiss Re's AI Strategy , ensuring architecture supports and accelerates the company's broader ambitions Design end-to-end AI solution architectures spanning business, application, data, model, integration, security, evaluation, observability, and production deployment dimensions Translate business strategy into coherent AI architectures, ensuring alignment between capabilities, application landscapes, data models, technology platforms, and operating models Drive standardization, simplification, and reuse , including rigorous assessment of build-versus-buy, model, and platform options across value, risk, scalability, performance, resilience, and total cost of ownership Enterprise Architecture Delivery & Production Readiness Act as lead Enterprise Architect on selected large, complex programs (including AI) and take full architecture accountability for outcomes Provide architecture guidance from strategy and concept through implementation, production readiness, stabilization, and operational ownership Ensure solution designs align with approved target architectures, AI standards, principles, reference architectures, and enterprise guardrails Challenge design decisions to protect architectural integrity, measurable business value, and sustainable delivery Support program and project leadership in managing architecture risks, dependencies, trade-offs, integration, resilience, monitoring, and lifecycle management Maintain accurate enterprise inventories and governance records by contributing and validating information on delivered AI solutions Architecture Enablement, Standards & Reference Architectures Provide leadership for enterprise AI architecture enablement , delivering intelligence and guidance to delivery teams, Domains, and architecture stakeholders Identify and act on enterprise patterns , gaps, risks, and opportunities across use cases and delivered solutions Define, own, and evolve AI standards , principles, reusable patterns, reference architectures, methods, and pragmatic guardrails Set direction for clear, actionable guidance that enables teams to make consistent, safe, and scalable architecture decisions Identify and promote reuse opportunities across Domains, leveraging AI inventory, GEAR, and enterprise intelligence Enterprise Architecture Governance, Inventory & Portfolio Insight Lead and shape AI architecture governance and Design Authority, including review criteria, review gates, quality assurance, and compliance mechanisms Ensure AI solutions address

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