Enterprise AI architect | Bangalore

Bangalore Permanent View Job Description
As a Senior Enterprise Architect 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.
  • Work in a faced paced environment.
  • Build and scale high-impact data solutions with executive visibility

About Our Client

Our client is a reinsurance firm.

Job Description

Key ResponsibilitiesAI 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 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 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

The Successful Applicant

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 recommendationsThese 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

What's on Offer

  • Be a part of fast paced organisation.



Quote job ref
JN-102026-7133266

Job summary

Function
Analytics
Sub Sector
Big Data
What is your area of specialisation?
Financial Services
Location
Bangalore
Job Type
Permanent
Job Reference
JN-102026-7133266

Diversity & Inclusion at Michael Page

We don't just accept difference - we celebrate it. We encourage applicants from all backgrounds to apply for this role and are committed to building inclusive, diverse workplaces where everyone can thrive. If you require any support or reasonable adjustments during the recruitment process, please let us know.