Gurugram Haryana Principal engineer, ai architect Jobs – 590 Open Jobs Today

Semantic AI/ML Architect
Luxoft —Gurugram, Haryana
- English
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- Master's degree
AI Architect
Luxoft —Gurugram, Haryana
- Azure
- English
- Java
Sr. Computer Vision Engineer (Scene Intelligence and Agentic AI)
Conxai Technologies GmbH —Gurugram, Haryana
- Full-time
- Doctoral degree
- Computer Science
- English
Quick apply
Principal Architect
SW Group —Gurugram, Haryana
- Full-time
- Azure
- Java
- SQL
Quick apply
PRINCIPAL ENGINEER - AI & MACHINE LEARNING
lepton software —Gurugram, Haryana
- Full-time
- Master's degree
- Machine learning
- AI
6d
Agentic AI Architect-D
Capgemini Sogeti —Gurugram, Haryana
- Azure
- Databases
- AI
14d
Solution Architect - AI, Cross Industries
AWS India - Maharashtra —Gurugram, Haryana
- Full-time
- DevOps
- Public speaking
- AWS
Principal AI Engineer, Director
National Westminster Bank PLC —Gurugram, Haryana
- From ₹27,090 a month
- Full-time
- DevOps
- Java
- AWS
5d
Architect AI Data Engineer
EXL Service —Gurugram, Haryana
- Full-time
- Azure
- Data analysis skills
- Master's degree
Architect, Networking for AI
Hewlett Packard Enterprise —Gurugram, Haryana
- Urgently hiring
- Up to 50% travel
- Sales
- English
Principal Engineer – AI & Technology Systems
Lenskart —Gurugram, Haryana
- Full-time
- Computer Science
- Java
- Master's degree
Quick apply
Principal Engineer - IT System
United Airlines —Gurugram, Haryana
- Full-time
- English
- Master's degree
- Bachelor's degree
- Health insurance
Sr. Principal Engineer – HVDC & HV Substation
AtkinsRéalis —Gurugram, Haryana
- Full-time
- Hybrid work
- AutoCAD
- B.Sc
- English
- Health insurance
Principal Architect
Palo Alto Networks —Delhi, Delhi
- Full-time
- Up to 50% travel
- Product management
- Computer networking
Principal Engineer - Digital Workplace
Insight Enterprises —Gurugram, Haryana
- Azure
- Microsoft Office
- Bachelor's degree
- Health insurance
4d
Principal Architect - Enterprise Application
Genpact India Pvt. Ltd. —Gurugram, Haryana
- Full-time
- Hybrid work
- Oracle
- Computer Science
- Salesforce
Quick apply
Agentic AI Architect
Air India —Gurugram, Haryana
- Azure
- Computer Science
- System design
AI?Automation?Architect
Persistent —Gurugram, Haryana
- Full-time
- Hybrid work
- Master's degree
- APIs
- AI
- Flexible schedule
Senior Principal Design Engineer- LSS
Jacobs —Gurugram, Haryana
- AutoCAD
- Electrical experience
- Bachelor's degree
AI Engineer
PayU —Gurugram, Haryana
- Full-time
- Azure
- Java
- Master's degree

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Semantic AI/ML Architect

Luxoft -
Gurugram, Haryana

Apply Now

Job details

Qualifications

Ontology
Data modelling
Law
Enterprise Software
NoSQL
English
SPARQL
Taxonomy
Java
Master's degree
Databases
Scripting
RDF
Semantic Web
Linked data
APIs
Metadata
AI
Graph databases
Python

Full job description

Project description

We are seeking a Senior Semantic Engineer to design and implement semantic data frameworks that provide a shared structure for enterprise data. In this role you will focus on building and maintaining ontologies and knowledge graphs, enforcing semantic validation rules for data quality, and collaborating with AI teams to integrate these semantic structures into intelligent applications. The position is industry-agnostic, emphasizing strong semantic web expertise and the ability to apply it in any enterprise context.

Responsibilities

Ontology Design & Maintenance: Design, develop, and maintain ontologies (using OWL/RDF or similar) that model key enterprise data domains and relationships, ensuring a consistent and shared data vocabulary across the organization. This includes collaborating with domain experts to capture real-world concepts and validate that the ontology accurately represents business knowledge.

Knowledge Graph Development: Build and manage enterprise knowledge graphs based on the defined ontologies, linking diverse data sources into a unified graph data model. This involves configuring graph databases or triple stores, populating the knowledge graph with data (RDF triples), and optimizing it for query performance and scalability.

Semantic Querying (SPARQL): Create and optimize SPARQL queries to enable efficient retrieval, integration, and analysis of data from the knowledge graph. You will develop semantic queries and endpoints that support advanced search and analytics use cases, making it easier for others to retrieve insights from linked data.

Validation Rules & Data Quality: Implement semantic validation rules and consistency checks (e.g., using SHACL or OWL constraints) to ensure data integrity and quality within the ontology and knowledge graph. You will define and enforce data modelling conventions and business rules so that enterprise data conforms to the ontology's standards and remains interoperable across systems.

Integration with Enterprise Systems: Work closely with software engineers, data architects, and IT teams to integrate the ontology and knowledge graph into the organization's existing data infrastructure and workflows. This includes embedding semantic models in data pipelines, APIs, and databases, so that enterprise applications can produce and consume linked data seamlessly.

Collaboration & Cross-Functional Support: Collaborate with cross-functional teams and stakeholders. For example, partner with AI/ML teams to incorporate the knowledge graph into AI-driven solutions, and team up with business analysts or data stewards to align the semantic models with business needs. You will communicate semantic concepts to non-technical stakeholders, providing training or documentation to ensure adoption of the semantic framework across the organisation.

Integration with AI Agents: Work with AI agents and large language model (LLM) teams to leverage the ontology and knowledge graph for intelligent applications. For instance, you might enable an AI chatbot to use the knowledge graph for more context-aware responses, or develop mechanisms for AI systems to perform reasoning over the ontologies. This responsibility ensures that semantic data structures enhance AI initiatives (e.g. improving context, disambiguation, and knowledge retrieval in AI workflows).

Standards & Best Practices: Stay current with emerging semantic web standards, tools, and best practices. Continuously improve the semantic architecture by adopting relevant metadata standards and ensuring alignment with industry best practices for ontologies and knowledge graphs. You will also contribute to establishing internal guidelines and best practices for semantic data management, promoting a culture of well-structured, semantically-rich data across the enterprise.

Skills

Must have

Ontology Design & Maintenance: Design, develop, and maintain ontologies (using OWL/RDF or similar).

Semantic Web Proficiency: Strong knowledge of semantic web technologies and standards

specifically, hands-on proficiency with OWL (Web Ontology Language) and RDF (Resource Description Framework) for ontology modelling, as well as SPARQL for querying graph data.

Knowledge Graph Experience: Practical experience building or maintaining knowledge graphs or linked data systems in an enterprise setting.

Data Modelling & Integration Skills: A solid understanding of data modelling principles, data architecture, and integrating heterogeneous data sources. You should be capable of abstracting real-world entities into a semantic schema and mapping relational or NoSQL data to an ontology.

Programming Skills: Proficiency in at least one programming or scripting language (such as Python, Java, or similar)

Nice to have

Metadata Standards: Familiarity with metadata standards and vocabularies such as Dublin Core, schema.org, or other industry-specific ontologies/taxonomies. Experience applying these standards to annotate or integrate data

AI and LLM Integration: Experience working on projects that involve AI agents or large language models, where ontologies or knowledge graphs were used to improve AI performance.

Enterprise System Integration: Proven experience integrating semantic technologies into existing enterprise systems or data platforms.

Tools & Platforms: Hands-on experience with ontology and knowledge graph tools is beneficial.

Other

Languages

English: C1 Advanced

Seniority

Senior

Gurugram, India

Req. VR-119923

AI/ML

BCM Industry

03/09/2026

Req. VR-119923

Apply Now

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principal engineer, ai architect jobs in gurugram haryana

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