Lead Architect

Fractal Analytics•New York, NY

8d•$150,000 - $200,000

About The Position

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a 'Cool Vendor' and a 'Vendor to Watch' by Gartner. Role Overview Lead Architect – Ontology, AI, and Snowflake (Insurance Domain) 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.

Requirements

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.

Nice To Haves

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.

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.