Technical Architect – Generative AI, Life & Annuities Insurance

EXL

Technical Architect leading Generative AI initiatives for Life & Annuities insurance. Responsible for architecture and implementation of AI-driven solutions across insurance operations.

Posted 6/11/2026full-time🇺🇸 United StatesSeniorLead💰 $130,000 - $150,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDistributed Systems

About the role

Key responsibilities & impact

Lead the end-to-end architecture, design, and technical direction for Generative AI solutions supporting business process automation in the Life & Annuities ecosystem.
Define scalable, secure, and reusable architecture patterns for AI-enabled workflows 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 implementable technical solutions.
Architect enterprise-grade AI solutions using modern patterns such as Retrieval-Augmented Generation (RAG), prompt orchestration, agent-based workflows, vector search, and human-in-the-loop controls.
Design and oversee integrations between AI services and core insurance platforms, TPA systems, underwriting tools, CRM platforms, document repositories, APIs, messaging systems, and third-party data providers.
Establish solution standards for security, privacy, auditability, explainability, observability, and compliance in regulated insurance environments.
Evaluate and recommend appropriate cloud, data, and AI technology stacks, frameworks, and tooling aligned with enterprise architecture standards.
Provide technical leadership to cross-functional delivery teams, including conducting architecture reviews, defining guardrails, mentoring engineers, and resolving complex design challenges.
Drive non-functional architecture requirements including performance, scalability, resiliency, model monitoring, and operational support readiness.
Collaborate with enterprise architecture, security, data, and governance teams to ensure AI solutions are aligned with organizational policies and long-term 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, with strong hands-on experience designing complex distributed systems.
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.
Demonstrated experience defining architecture for cloud-native applications, APIs, event-driven integration, and enterprise data platforms.
Strong understanding of LLM-based solution patterns, including prompt engineering, RAG, embeddings, vector databases, model orchestration, and AI application security.
Experience working with cloud platforms such as AWS, Azure, or Google Cloud, along with associated AI and integration services.
Strong knowledge of system integration patterns, data privacy, access control, and governance requirements in regulated environments.
Ability to communicate complex technical concepts clearly to business stakeholders, project teams, and senior leadership.
Proven ability to lead architecture decisions, influence technical direction, and collaborate across multiple teams and vendors.

Benefits

Comp & perks

Remote role with potential travel to Indianapolis office or hybrid if residing in Indiana
12% annual bonus

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Generative AIarchitecture designcloud-native applicationsAPIsevent-driven integrationLLM-based solutionsprompt engineeringRetrieval-Augmented Generation (RAG)model orchestrationAI application security

Soft Skills

technical leadershipcommunicationcollaborationmentoringinfluencingproblem-solvingstakeholder engagementcross-functional teamworkcomplex concept explanationdecision-making