Lead Architect
About the role
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.
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