EXL
EXL
EXL is a business consulting and services company that helps organizations use data, analytics, and technology to improve operations and make better decisions. Its work includes operations management, decision analytics, and digital transformation, with experience supporting clients in healthcare, insurance, finance, and logistics. EXL combines data science with practical business expertise to develop solutions tailored to each organization’s goals, operating model, and industry context.

Senior Generative AI Architect, Life and Annuities Insurance

Lead Generative AI architecture for EXL’s life and annuities insurance operations. Design secure AI automation across policy, underwriting, servicing, and partner systems.

Description

  • Lead architecture and technical direction for Generative AI solutions that automate life and annuities business processes.
  • Develop scalable, secure, reusable architecture patterns for policy administration, underwriting, servicing, document processing, and partner integrations.
  • Work with business, operations, product, and engineering teams to identify valuable AI use cases and shape them into technical solutions.
  • Design enterprise AI solutions with retrieval-augmented generation, prompt orchestration, agent workflows, vector search, and human review controls.
  • Plan and oversee AI integrations with insurance platforms, third-party administrator systems, underwriting tools, CRM platforms, document repositories, APIs, messaging systems, and external data providers.
  • Set standards for security, privacy, auditability, explainability, observability, and regulatory compliance.
  • Assess and recommend cloud, data, and AI platforms, frameworks, and tools.
  • Guide cross-functional delivery teams through architecture reviews, technical guardrails, mentoring, and resolution of complex design issues.
  • Address performance, scalability, resilience, model monitoring, and operational support readiness.
  • Coordinate with enterprise architecture, security, data, and governance teams to align solutions with company policies and technology strategy.

Requirements

  • Bachelor’s or master’s degree in computer science, information technology, engineering, data science, or a related discipline.
  • At least 10 years of experience in software engineering, solution architecture, or enterprise architecture.
  • At least 3 years of experience delivering enterprise AI, machine learning, or Generative AI solutions.
  • Strong knowledge of life and annuities insurance operations, particularly third-party administrator ecosystems, policy administration, underwriting, servicing, and partner integrations.
  • Experience designing cloud-native applications, APIs, event-driven integrations, and enterprise data platforms.
  • Knowledge of large language model solution patterns, including prompt engineering, retrieval-augmented generation, embeddings, vector databases, model orchestration, and AI application security.
  • Experience with AWS, Azure, or Google Cloud and related AI and integration services.
  • Understanding of integration patterns, data privacy, access controls, and governance in regulated settings.
  • Ability to lead architecture and explain complex technical concepts to business stakeholders, project teams, and senior leaders.
  • Ability to guide architecture decisions, shape technical direction, and work across teams and vendors.
  • Preferred: experience delivering AI-driven automation for insurance operations.
  • Preferred: familiarity with commercial insurance platforms, policy administration systems, workflow tools, and enterprise integration middleware.
  • Preferred: experience with AI governance frameworks, model risk controls, content safety, and responsible AI practices.
  • Preferred: experience assessing and integrating vendor AI platforms, accelerators, and third-party services.
  • Preferred: AWS Solutions Architect, Azure Solutions Architect, or equivalent certification.
  • Preferred: consulting, client-facing architecture, or enterprise transformation experience.

Benefits

  • 12% annual bonus.
  • Option to work remotely.
  • Travel to the Indianapolis office may be required.
  • Hybrid work option for employees based in Indiana.
  • Compensation may be higher than the posted range in higher-cost areas, including California, New York, and New Jersey.

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