Technical Architect – Generative AI (Life & Annuities Insurance)

EXL•United States,

25d•$130,000 - $150,000•Remote

About The Position

The Technical Architect will shape and drive the architecture vision for Generative AI across the Life & Annuities business. The role leads the architecture and implementation guidance for AI solutions that automate and modernize processes across the TPA ecosystem, including policy administration, underwriting, servicing, and external integrations. It combines strategic direction with hands-on architectural leadership to deliver secure, compliant, scalable, and business-focused AI innovation. The architect partners with business, operations, product, engineering, enterprise architecture, security, data, and governance teams to identify valuable use cases, define reusable solution patterns, evaluate technology stacks, and guide cross-functional delivery. The position also establishes controls and standards for responsible AI, privacy, security, auditability, explainability, observability, performance, resiliency, and operational readiness in regulated insurance environments.

Requirements

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, including 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 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 with cloud platforms such as AWS, Azure, or Google Cloud and 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.

Nice To Haves

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.

Responsibilities

Lead end-to-end architecture, design, and technical direction for Generative AI solutions supporting Life & Annuities business-process automation.
Define scalable, secure, 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 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 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 in regulated insurance environments.
Evaluate and recommend cloud, data, and AI technology stacks, frameworks, and tools aligned with enterprise architecture standards.
Provide technical leadership to cross-functional delivery teams through architecture reviews, guardrails, engineer mentoring, and resolution of 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 align AI solutions with organizational policies and long-term technology strategy.