Sr Enterprise Architect

Job description

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 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, 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 w