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AI Engineer at LinkedIn

DUBAI, Dubai, United Arab Emirates -

Full Time

Start Date

Immediate

Expiry Date

25 Dec, 26

Salary

9000.0

Posted On

26 Sep, 26

Experience

8 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information Services

Description

Develop enterprise data architecture and strategy aligned with digital transformation and modernization initiatives.
Design scalable data platforms, lakehouses, data lakes, and end-to-end data pipelines supporting batch and real-time processing.
Define and implement Data & AI governance frameworks, operating models, data quality, metadata, lineage, classification, and retention standards.
Architect AI/ML, GenAI, LLMOps, AI Engineering, and Agentic AI solutions for enterprise use cases.
Design and implement modern data architecture patterns including Data Mesh, Data Fabric, Ontology, and Semantic Models.
Define conceptual, logical, and physical data models, including Star, Snowflake, and Data Vault modelling.
Ensure data solutions meet security, privacy, regulatory, and national data protection requirements.
Lead architecture workshops and translate business and government requirements into technical solutions and roadmaps.
Support technology evaluation, procurement, vendor selection, and implementation of data and AI platforms

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Responsibilities

Develop enterprise data architecture and strategy aligned with digital transformation and modernization initiatives.
Design scalable data platforms, lakehouses, data lakes, and end-to-end data pipelines supporting batch and real-time processing.
Define and implement Data & AI governance frameworks, operating models, data quality, metadata, lineage, classification, and retention standards.
Architect AI/ML, GenAI, LLMOps, AI Engineering, and Agentic AI solutions for enterprise use cases.
Design and implement modern data architecture patterns including Data Mesh, Data Fabric, Ontology, and Semantic Models.
Define conceptual, logical, and physical data models, including Star, Snowflake, and Data Vault modelling.
Ensure data solutions meet security, privacy, regulatory, and national data protection requirements.
Lead architecture workshops and translate business and government requirements into technical solutions and roadmaps.
Support technology evaluation, procurement, vendor selection, and implementation of data and AI platforms