Knowledge Architect

Job Description

Job Description – Knowledge Architect (GEO Specialist)
Company

Digirocket Technologies Private Limited

Job Title

Knowledge Architect (GEO Specialist)

About the Role

Digirocket Technologies Private Limited is looking for a Knowledge Architect (GEO Specialist) to build and manage a unified knowledge framework that strengthens the company’s visibility across generative engines, AI-driven discovery systems, and modern search ecosystems.

This role goes beyond traditional SEO and focuses on Generative Engine Optimization (GEO), semantic architecture, structured knowledge systems, and ontology management to improve how Large Language Models (LLMs) interpret, retrieve, and reuse organizational knowledge.

The ideal candidate should possess expertise in enterprise SEO, structured data, taxonomy, semantic systems, and AI-driven content discoverability.

Key Responsibilities
Knowledge Architecture & Ontology
Build and maintain a unified ontology of:
Products
Problems
Solutions
Business terminology
Structure company knowledge for better machine readability and retrieval.
GEO (Generative Engine Optimization)
Lead and operationalize the company’s GEO strategy.
Optimize organizational content and metadata for:
AI-powered search systems
LLM retrieval
Generative discovery platforms
Governance & Standardization
Ensure consistency in:
Product naming
Messaging
Terminology
Brand language across regions
Partner with internal teams to enforce governance standards.
Cross-Functional Collaboration
Work closely with:
SEO teams
Content teams
Product teams
Engineering teams
Align semantic structure and content architecture with business goals.
AI & Discovery Optimization
Improve how organizational knowledge is:
Structured
Tagged
Indexed
Retrieved by AI systems
Shift performance measurement from:
Clicks & rankings
to
Demand signals
Brand visibility
AI discovery presence
Required Skills & Qualifications
Core Expertise
Strong experience in:
Enterprise SEO
Taxonomy management
Structured data
Semantic architecture
AI & LLM Understanding
Understanding of how:
LLMs interpret content
AI retrieval systems work
Knowledge frameworks influence discoverability
Governance & Strategy
Ability to:
Lead governance initiatives
Drive standardization programs
Influence cross-functional stakeholders
Communication & Leadership
Strong:
Strategic thinking
Communication skills
Problem-solving abilities
Collaboration mindset
Why This Role Matters

Generative engines are transforming buyer discovery and decision-making long before users visit websites.

This role is critical in ensuring that Digirocket’s organizational knowledge is:

Structured
Consistent
AI-readable
Discoverable early in the buyer journey

The outcome will directly strengthen:

Brand visibility
Demand capture
Market positioning
AI-driven discoverability
Ideal Candidate Profile

The ideal candidate should:

Understand modern AI-driven search ecosystems
Have experience with semantic content systems
Be capable of building scalable knowledge frameworks
Be passionate about the future of GEO and AI discoverability