Senior Enterprise Architect

Senior Enterprise Architect

Bangalore or Hyderabad, India

Artificial intelligence is reshaping the re/insurance industry - and at Swiss Re, were not just watching it happen. Were architecting it. If youre 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 worlds most innovative financial institutions.

About the Role

As a Senior Enterprise Architect within Swiss Res Group Enterprise Architecture function, you will be at the heart of the companys 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 onArchitecture 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, youll be a trusted advisor to senior stakeholders and a key voice in shaping Swiss Res 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 Res AI Strategy, ensuring architecture supports and accelerates the companys 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 Responsible AI, privacy, security, model risk, human oversight, auditability, regulatory, and enterprise risk considerations

• Promote consistent AI evaluation approaches covering quality, grounding, hallucination risk, robustness, latency, security, and cost

• Govern and evolve the AI inventory, using it to generate architecture insights, identify patterns and gaps, and support transparent decisions

• Provide portfolio-level insight and recommendations on deployed AI assets, reuse opportunities, architecture risks, standards adoption, and enterprise-wide implications

Cross-Domain Collaboration & Influence

• Collaborate closely with Domain Architects, business stakeholders, technology teams, risk and control partners, and other architecture disciplines to achieve enterprise alignment

• Resolve cross-domain dependencies and conflicts, balancing enterprise consistency with pragmatic Domain needs

• Champion a one-architecture mindset and contribute to the architecture community through knowledge sharing, mentoring, and coaching

• Build trusted relationships with senior business and technology stakeholders and act as a strategic advisor on investment decisions and transformation roadmaps

• Deliver executive-ready, fact-based insights and recommendations that drive informed decisions

About the Team

The Group Enterprise Architecture team at Swiss Re is a globally connected community of architects operating at the forefront of the companys most strategic and complex transformation initiatives. The team plays a pivotal role in shaping how Swiss Re harnesses technology - including AI - to create sustainable business value, drive innovation, and manage enterprise risk responsibly.

Organized across two complementary functions -Delivery and Enablement & Governance - the team works in close partnership with business Domains, technology functions, and senior leadership to define target architectures, set enterprise standards, and ensure that solutions are scalable, resilient, and aligned with Swiss Res long-term direction. Together, the team fosters a culture of architectural excellence, knowledge sharing, and continuous improvement, with a strong commitment to responsible and inclusive innovation at enterprise scale.

About You

You are a strategic thinker and a pragmatic doer - someone who can hold the long view on enterprise architecture while rolling up your sleeves to guide complex delivery. You bring intellectual curiosity, strong systems thinking, and the ability to navigate ambiguity with confidence. You communicate with clarity and conviction, whether youre advising a C-suite stakeholder or mentoring a fellow architect. You thrive in collaborative, matrixed environments and take genuine pride in raising the quality of architecture across the teams you work with.

We are looking for candidates who meet these requirements:

• 10+ years of experience in enterprise architecture, solution architecture, technology architecture, or transformation roles within complex, matrixed, or global organizations, with a proven track record of leading cross-domain initiatives

• Hands-on experience designing and implementing production-grade AI solutions beyond prompt-only agents, including practical knowledge of AI/GenAI architecture patterns such as LLMs, RAG, embeddings/vector search, agents and tool use, model selection, prompt and model lifecycle management, and AI evaluation

• Deep expertise in enterprise architecture frameworks, governance models, and design authority processes, including standards, principles, reference architectures, and operating models, with demonstrated experience influencing enterprise-level decisions at senior stakeholder level

• Experience with MLOps/LLMOps, AI security and privacy patterns, observability, model monitoring, and Responsible AI controls, with the ability to evaluate AI technology choices across quality, risk, scalability, latency, resilience, reuse, and cost

• Proven ability to use architecture inventories, repositories, and portfolio information to identify patterns, gaps, reuse opportunities, and governance insights, and to translate these into clear, actionable recommendations

These are additional nice to haves:

• Experience in re/insurance or financial services environments

• TOGAF or equivalent enterprise architecture certification

• Relevant AI, cloud, data, security, or architecture certifications (e.g., AWS, Azure, GCP, CISSP, CDMP)

• Experience working in globally distributed, multicultural teams across multiple time zones

• Familiarity with regulatory and compliance frameworks relevant to AI in financial services

• Demonstrated experience mentoring architects and building architecture capability within a community of practice

• Strong facilitation skills, with experience leading design authority forums, architecture reviews, and governance boards