Description

Role Summary

We are seeking a Lead Architect to shape enterprise architecture at the intersection of ontology, AI for business intelligence, and Snowflake-native intelligence. The ideal candidate will bring deep expertise in insurance domain ontology, semantic technologies, AI-enabled analytics, and modern data architecture patterns, with the ability to translate complex technical concepts into executive-ready recommendations.

This is a hands-on architecture role requiring strong knowledge of RDF/OWL/JSON-LD, Python, Snowflake Cortex, AI4BI, NLQ-to-SQL, and multi-agent orchestration. The candidate must be able to lead architecture discussions, guide solution design, and communicate effectively with senior executives and business stakeholders.

Key Responsibilities

• Design and govern enterprise ontologies for insurance concepts such as policies, claims, coverages, parties, products, risks, and losses.
• Develop semantic models using RDF, OWL, and JSON-LD to support analytics, AI, search, and automation use cases.
• Define ontology governance standards including stewardship, versioning, approval workflows, and lifecycle management.
• Use Python to accelerate ontology creation and validation from tribal knowledge, unstructured documents, and data catalog sources.
• Architect and implement solutions using Snowflake and its AI capabilities, including Cortex Analyst, Cortex Intelligence, and Cortex Search.
• Design patterns for structured and unstructured data access using Snowflake-native technologies, including semantic search, conversational analytics, and NLQ-to-SQL translation.
• Build multi-agent orchestration frameworks covering intent analysis, planning, tool selection, context engineering, and response synthesis.
• Design enterprise data and AI architecture patterns that integrate structured, semi-structured, and unstructured data across business domains.
• Lead executive and stakeholder conversations, explaining architecture options, tradeoffs, and implementation roadmaps clearly and confidently.

Required Qualifications

• 10+ years of experience in data, analytics, AI, or enterprise architecture roles.
• Deep hands-on expertise in ontology engineering and semantic modeling.
• Strong insurance domain knowledge, including claims, underwriting, policy administration, or regulatory use cases.
• Practical experience with RDF, OWL, JSON-LD, Python, and SQL.
• Hands-on experience with Snowflake and related AI capabilities such as Cortex Analyst, Cortex Intelligence and Cortex Search.
• Experience with AI4BI, NLQ-to-SQL, enterprise search, and retrieval patterns.
• Strong understanding of multi-agent systems and multi-agent orchestration patterns.
• Ability to engage senior executives and lead architecture-level discussions.

Preferred Qualifications

• Familiarity with data catalogs, metadata platforms, and ontology governance frameworks.
• Exposure to Snowflake and AI associated services.
• Experience in consulting, product strategy, or enterprise transformation environments.
• Certifications in Snowflake, Azure, or related cloud architecture domains are a plus

Key Skills

Education

Any Graduate