Technical Architect – Generative AI, Life & Annuities Insurance

EXL

. Lead end-to-end architecture, design, and technical direction for Generative AI solutions supporting Life & Annuities business process automation .

Posted 10/16/2026full-timeIndianapolis • United StatesSeniorLead💰 $130,000 - $150,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting Generative AI solutions for Life & Annuities, focusing on scalable and secure architecture patterns, integration with insurance platforms, and compliance with regulatory standards. Proven ability to lead cross-functional teams and communicate complex technical concepts effectively.

Highest-signal resume keywords

Generative AI Solutions ArchitectureLife & Annuities Insurance ProcessesCloud-Native Application DesignAI Governance FrameworksArchitecture Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringSolution ArchitectureMachine LearningPrompt EngineeringEvent-Driven IntegrationData PrivacyModel OrchestrationSystem Integration PatternsPerformance ScalabilityOperational Support Readiness

Soft Skills

Technical LeadershipCommunication of Technical ConceptsCollaboration Across TeamsInfluencing Technical DirectionMentoring

Tools & Technologies

AWSAzureGoogle CloudAPIsThird-Party Data ProvidersDocument RepositoriesCRM PlatformsIntegration MiddlewareVector DatabasesAI Integration Services

Certifications & Qualifications

AWS Solutions ArchitectAzure Solutions Architect

Industry Keywords

Life & AnnuitiesTPA EcosystemsPolicy AdministrationUnderwritingServicingAI-Led AutomationCommercial Insurance PlatformsEnterprise IntegrationRegulated EnvironmentsResponsible AI Practices

Tech Stack

Tools & technologies

AWSAzureCloud

About the role

Key responsibilities & impact

Lead end-to-end architecture, design, and technical direction for Generative AI solutions supporting Life & Annuities business process automation
Define scalable, secure, and reusable architecture patterns across policy administration, underwriting, servicing, document processing, and partner integrations
Partner with business, operations, product, and engineering teams to identify high-value AI use cases and translate them into technical solutions
Architect enterprise-grade AI solutions using RAG, prompt orchestration, agent-based workflows, vector search, and human-in-the-loop controls
Design and oversee integrations between AI services and insurance platforms, TPA systems, underwriting tools, CRM platforms, document repositories, APIs, messaging systems, and third-party data providers
Establish standards for security, privacy, auditability, explainability, observability, and compliance
Evaluate and recommend cloud, data, and AI technology stacks, frameworks, and tooling
Provide technical leadership to cross-functional delivery teams through architecture reviews, guardrails, mentoring, and complex design resolution
Drive non-functional requirements including performance, scalability, resiliency, model monitoring, and operational support readiness
Collaborate with enterprise architecture, security, data, and governance teams to align solutions with organizational policies and technology strategy

Requirements

What you’ll need

Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related field
10+ years of experience in software engineering, solution architecture, or enterprise architecture
3+ years of experience delivering AI, machine learning, or Generative AI solutions in enterprise environments
Strong expertise in Life & Annuities insurance processes, especially within TPA ecosystems, policy administration, underwriting, servicing, and external partner integrations
Experience defining architecture for cloud-native applications, APIs, event-driven integration, and enterprise data platforms
Understanding of LLM-based solution patterns, including prompt engineering, RAG, embeddings, vector databases, model orchestration, and AI application security
Experience with AWS, Azure, or Google Cloud and associated AI and integration services
Knowledge of system integration patterns, data privacy, access control, and governance requirements in regulated environments
Architecture leadership and ability to communicate complex technical concepts to business stakeholders, project teams, and senior leadership
Ability to lead architecture decisions, influence technical direction, and collaborate across teams and vendors
Preferred: experience delivering AI-led automation in 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 evaluating and integrating vendor AI platforms, accelerators, and third-party services
Preferred: AWS Solutions Architect, Azure Solutions Architect, or equivalent certifications
Preferred: consulting, client-facing architecture, or enterprise transformation experience

Benefits

Comp & perks

12% annual bonus
Remote work option
Potential travel to the Indianapolis office
Hybrid work option if residing in Indiana
Compensation may exceed the posted range in higher-cost zones such as California, New York, and New Jersey