Title: Ontology Architect– Airlines

Location: Greater Noida campus

Experience: 15 Years+

Employment Type: Full-Time

Airline Domain Ontology Architect / Airline Knowledge Architect who can create and maintain the semantic translation layer between legacy PSS concepts (PNR, ticket, EMD, SSR, inventory, fare class) and modern IATA Offer & Order concepts (Offer, Order, Service, Fulfillment, Settlement, Delivery).

Role Summary

We are seeking an experienced Airline Ontology Architect with deep expertise in airline retailing, Passenger Service Systems (PSS), IATA One Order, NDC, and Offer & Order transformation.

The candidate will define and govern a canonical airline domain model that enables translation between legacy airline systems and modern retailing architectures. This role will act as the bridge between airline business stakeholders, architects, data engineers, AI teams, and product teams to ensure consistent interpretation of airline concepts across systems, APIs, data models, and AI agents.

The position is critical for building next-generation airline platforms, knowledge graphs, agentic AI systems, and modernization programs.

Key Responsibilities

Airline Domain Ontology Design

- Design a canonical airline ontology covering:
- Reservations
- Inventory
- Ticketing
- Ancillary Services
- Departure Control
- Loyalty
- Revenue Accounting
- Settlement
- Create semantic mappings between:
- PNR ↔ Order
- Ticket ↔ Fulfillment
- EMD ↔ Service
- SSR/OSI ↔ Service Attributes
- Fare Products ↔ Offers
- etc.
- Manage ontology lifecycle, standards, governance, and version control.

PSS to One Order Translation

- Define business rules for translating legacy PSS constructs into One Order models.
- Establish transformation frameworks for:




- Amadeus Altea
- Sabre
- Navitaire
- Shares
- Other airline retailing platforms
- Create traceability matrices between legacy and target business processes.

Knowledge Graph & AI Enablement

- Develop airline knowledge graphs and taxonomy frameworks.
- Support AI and agentic platforms requiring grounded airline intelligence.
- Create semantic models consumable by:
- LLMs
- AI Agents
- RAG Systems
- Workflow Engines
- Business Process Mining tools

Industry Standards Alignment

- Drive alignment with:
- IATA One Order
- NDC
- Contemporary Airline Retailing
- AIDM (Airline Industry Data Model)
- Settlement and Delivery standards
- Serve as the subject matter expert for industry retailing transformation initiatives.

Required Experience

Domain Expertise

- 10+ years in airline technology.
- 5+ years working directly with:
- PSS
- NDC
- One Order
- Offer & Order Management
- Deep understanding of:
- Reservations
- Inventory
- Ticketing
- Departure Control
- Revenue Accounting
- Retailing transformation

Knowledge Modeling Experience

- Ontology modeling
- Metadata management
- Taxonomy management
- Data modeling
- Canonical data models
- Semantic web technologies (preferred)

Technical Knowledge

- JSON/XML schemas
- API integration models
- Event-driven architectures
- Knowledge graphs
- Graph databases
- Data mapping and transformation platforms

Preferred Technologies

- Neo4j
- RDF / OWL
- GraphQL
- Apache Atlas
- Collibra
- Stardog
- Azure Data Fabric / Microsoft Fabric

Preferred Background

Candidates from

- IATA Modern Airline Retailing programs
- Amadeus
- Sabre
- Navitaire
- Accelya
- IBS Software
- Lufthansa Systems
- SITA
- Airline Digital Retailing teams
- Airline Enterprise Architecture teams

📌 Airlines Ontology Architect (Uttar Pradesh)
🏢 Coforge
📍 Uttar Pradesh