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.
RESPONSIBILITIES
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.
QUALIFICATIONS
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
[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.