Lead Architect

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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.

Please visit Fractal | Intelligence for Imagination for more information about Fractal.

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.

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.

Pay

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $150,000 – $200,000. In addition, you may be eligible for a discretionary bonus for the current performance period.

Benefits

As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a "free time" PTO policy, allowing you the flexibility to take time needed for either sick time or vacation.

Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Hiring Related Queries

India: HiringsupportIndia@fractal.ai

Outside India: HiringsupportROW@fractal.ai

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