India Content strategy & information architecture occupations Jobs – 112 Open Jobs Today

Semantic AI/ML Architect
Luxoft —Gurugram, Haryana
- English
- Java
- Master's degree
20h
Corporate Information Management Specialist
Pyramid Global Technologies —Mohali, Punjab
Archivist
Azim Premji Foundation —Bengaluru, Karnataka
Sr. Software Engineer - AEM
Yash Technologies —Pune, Maharashtra
- APIs
- Agile
2d
Lead Assistant Manager
EXL Service —Noida, Uttar Pradesh
- Full-time
Content / SEO Specialist
Photon —India
- APIs
- Agile
- Communication skills
Associate Analyst
EY —India
- Microsoft Office
- JavaScript
- Recruiting
Senior Director - Knowledge Management
Accordion —India
- Master's degree
- Analysis skills
- SharePoint
- Health insurance
Senior CMS Manager (Adobe Experience Manager) - 6 Months - Octopus
robusta —India
- Remote
- Marketing
- Analysis skills
- Bachelor's degree
Quick apply
CMS Engineer - Contentful - India
Photon —India
- Scripting
- Python
- HTML
GEO Specialist - Remote
Informica Solutions —India
- Full-time
- Remote
- Master's degree
- AI
Quick apply
Web Content Executive
RankUno Interactive Technologies Pvt. Ltd. —Pune, Maharashtra
- ₹15,000 - ₹25,000 a month
- Full-time
- English
- Project management
- In-person
- Health insurance
Quick apply
3h

More jobs to discover

Find similar jobs that you might be interested in.

DWS Internal Audit Manager – Group Functions & APAC, AVP
Deutsche Bank —Pune, Maharashtra
Supports dynamic, risk‑based audit planning through continuous monitoring of DWS business divisions and infrastructure functions, identifying and evaluating key…
Associate - Compliance and Operations Risk Test Sr Specialist
JPMorganChase —Bengaluru, Karnataka
Excellent written and verbal communication skills with an ability to influence business leaders in a meaningful and actionable manner.

I want to receive the latest job alerts for content strategy & information architecture occupations in india

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

content strategy & information architecture occupations jobs near india

Senior Software Engineer jobs in Pune, Maharashtra

Ai Ml Engineer jobs in Gurugram, Haryana

Seo Specialist jobs in Golf Green, Kolkata, West Bengal

Seo jobs in Chennai, Tamil Nadu

Seo Specialist jobs in Mani Majra, Chandigarh

Seo Executive Work From Home jobs in Ahmedabad, Gujarat

Seo Part Time jobs in Delhi

Seo Specialist jobs in Tamil Nadu

Seo Executive jobs in Nikol, Ahmedabad, Gujarat

Associate Analyst jobs in Hyderabad, Telangana

Work From Home, Data Analyst jobs in Patna, Bihar

Associate Analyst jobs in Noida, Uttar Pradesh

Business Analyst Internship jobs in Noida, Uttar Pradesh

Associate Analyst jobs in Chennai, Tamil Nadu

Associate Analyst jobs in Kerala

Aws Cloud Support Associate jobs in Hyderabad, Telangana

Walk In Drive For Software Engineer jobs in Mumbai, Maharashtra

Senior Software Engineer jobs in Noida, Uttar Pradesh

Female Engineer jobs in Chennai, Tamil Nadu

Senior Software Engineer jobs in Bengaluru, Karnataka

Semantic AI/ML Architect

Luxoft -
Gurugram, Haryana

Apply Now

Job details

20 hours ago

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

09/07/2026

Req. VR-119923

Apply Now

Refine Your Search

content strategy & information architecture occupations jobs in india

Semantic AI/ML Architect

Corporate Information Management Specialist

Archivist

Sr. Software Engineer - AEM

Lead Assistant Manager

Content / SEO Specialist

Associate Analyst

Senior Director - Knowledge Management

Senior CMS Manager (Adobe Experience Manager) - 6 Months - Octopus

CMS Engineer - Contentful - India

GEO Specialist - Remote

Web Content Executive

More jobs to discover

I want to receive the latest job alerts for content strategy & information architecture occupations in india

Explore jobs in more locations

Project description

Responsibilities

Skills

Other

Jobseeker tools

Employer Tools

Browse

Stay Connected