Technical Architect - Generative AI, Life & Annuities Insurance

This role is designed for a senior technology leader who can shape and drive the architecture vision for Generative AI across the Life & Annuities business. The Technical Architect will play a critical role in transforming insurance operations by identifying automation opportunities, defining scalable AI solution patterns, and ensuring seamless integration across TPA platforms, policy administration systems, underwriting capabilities, and external partner ecosystems. This position requires both strategic thinking and hands-on architectural leadership to deliver secure, compliant, and business-focused AI innovation.

Role Overview
We are seeking an experienced Technical Architect to lead Generative AI initiatives within the Life & Annuities insurance domain. This role will be responsible for architecting and guiding the implementation of AI-driven solutions that automate and modernize business processes across the TPA ecosystem, including policy administration systems, underwriting platforms, and external integrations. The ideal candidate will combine deep technical architecture expertise with strong domain knowledge in insurance operations, enterprise integration, data governance, and responsible AI adoption.

• 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.

Preferred Qualifications

• Experience delivering AI-led automation in insurance operations such as intake, underwriting support, correspondence generation, document summarization, and workflow acceleration.
• Familiarity with commercial insurance platforms, policy administration systems, workflow tools, and enterprise integration middleware relevant to Life & Annuities operations.
• Hands-on experience with AI governance frameworks, model risk controls, content safety, and responsible AI practices.
• Experience evaluating and integrating vendor AI platforms, accelerators, and third-party services.
• Architecture or cloud certifications such as AWS Solutions Architect, Azure Solutions Architect, or equivalent credentials.
• Experience in consulting, client-facing architecture, or leading enterprise transformation programs is a plus.

Remote role with potential travel to Indianapolis office or hybrid if residing in Indiana

Base salary range: $130-150k with 12% annual bonus

https://www.exlservice.com/us-careers-and-benefits

The posted base salary range is the hiring base salary range for this role. Final offers are based on several factors, including: the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. 

The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.

• 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.