Technical Architect – Generative AI (Life & Annuities Insurance)

• 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.

• 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.