2 days ago
Base Salary
$130k - $150k/yr
Responsibilities
- Lead end-to-end architecture, design, and technical direction for Generative AI solutions supporting Life & Annuities business process automation.
- Define secure, scalable, reusable AI architecture patterns for policy administration, underwriting, servicing, document processing, and partner integrations.
- Identify high-value AI use cases with business, operations, product, and engineering teams and translate them into implementable technical solutions.
- Architect RAG, prompt orchestration, agent-based workflows, vector search, and human-in-the-loop controls.
- Design and oversee integrations with 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, compliance, performance, scalability, resiliency, model monitoring, and operational readiness.
- Evaluate cloud, data, AI technology stacks, frameworks, tooling, vendor platforms, accelerators, and third-party services.
- Provide technical leadership through architecture reviews, guardrails, engineering mentorship, and resolution of complex design challenges.
- Collaborate with enterprise architecture, security, data, and governance teams to align AI solutions with organizational policies and technology strategy.
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 hands-on design of 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, including TPA ecosystems, policy administration, underwriting, servicing, and external partner integrations.
- Experience defining architecture for cloud-native applications, APIs, event-driven integration, and enterprise data platforms.
- Strong understanding of LLM-based solution patterns, prompt engineering, RAG, embeddings, vector databases, model orchestration, and AI application security.
- Experience with AWS, Azure, or Google Cloud and associated AI and integration services.
- Knowledge of system integration patterns, data privacy, access control, and governance requirements in regulated environments.
- Ability to communicate complex technical concepts to business stakeholders, project teams, and senior leadership.
- Proven ability to lead architecture decisions, influence technical direction, and collaborate across teams and vendors.
- Preferred experience delivering AI-led insurance automation, working with commercial insurance platforms and integration middleware, applying AI governance and responsible AI practices, evaluating vendor AI platforms, holding architecture or cloud certifications, and leading consulting, client-facing architecture, or enterprise transformation programs.
Benefits
- Remote role with potential travel to the Indianapolis office, or hybrid work if residing in Indiana.
- Base salary range of $130,000-$150,000 with a 12% annual bonus.
Categories
About EXL
EXL provides data analytics, AI, and digital operations services for enterprises in insurance, healthcare, banking, and other regulated industries. It delivers consulting, managed services, and technology platforms to improve decision-making, risk management, and operational efficiency. Founded in 1999 and headquartered in New York, EXL is a public company listed on the NASDAQ (ticker: EXLS).