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Lead Agentic AI Architect

Verisk

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Questions you are likely to be asked

  1. Why do you want to join Verisk?
  2. What is your experience with AWS? Tell me one thing you learned the hard way.
  3. What would you check first if a model's accuracy dropped after going live?
  4. When would you not use machine learning for a problem?
  5. Walk me through a model you built, from the data to how it was used.

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We are seeking a hands-on technical leader to define the architecture for, and deliver, production agentic AI solutions across our software portfolio. You will build critical components, guide engineering teams and establish reusable capabilities for AI-powered products, business workflows and AI-enabled software development, partnering with Product, Data, QA, Security and Platform teams to deliver reliable solutions with measurable business value. Why this role: Shape how agentic AI is applied across insurance products and workflows Engineering leadership. 10+ years in software engineering, including 4+ years leading AI and agentic architecture or technical delivery across multiple teams, or equivalent demonstrated expertise. Production AI delivery. Has deployed and operated multiple LLM or agentic application in production; strong Python, APIs, distributed systems, RAG and agent orchestration skills. Cloud and collaboration. Experience with cloud deployment, containers, CI/CD, evaluation and observability; able to explain trade-offs and influence technical and business stakeholders. AWS and Amazon Bedrock, including AgentCore; LangGraph, Stands or comparable agent frameworks; MCP; semantic layers, ontologies or knowledge graphs; insurance or other regulated data products; AI-enabled SDLC practices. #LI-MB1 #LI-Hybrid

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Listed on oraclehcm · posted 2026-10-07. ApplySarthi collects openings and links to application pages; the role is advertised by Verisk, not by us.