Senior AI Engineer with semantic web tech

EPAM Systems, Inc.; Turkey; On-site; TRY 5,894,000 - 8,841,000; Full time

Benefits offered by this job

Extra leave days

Referral bonuses

Private health insurance

Well-being events

Job summary

EPAM Systems, Inc. in Turkey seeks a Senior AI Engineer specializing in semantic web technologies. You will translate business concepts into ontologies and knowledge graphs, build scalable ELT/ETL pipelines, and implement semantic layers aligned with RAG and agentic AI solutions.

You will collaborate with DataGovernance, Enterprise Architecture and AI teams to ensure data quality, governance and semantic consistency across enterprise data assets.

Qualifications

• 5+ years of experience in data engineering, data architecture, or semantic technologies.
• Expertise in RDF/OWL/SPARQL, SKOS, SHACL, ontology development and knowledge graphs.
• Experience building enterprise-scale ELT/ETL pipelines and data integration.
• Familiarity with cloud data platforms (Databricks, Snowflake, Azure or AWS).
• Advanced Python and SQL coding with graph querying and reasoning.
• Understanding RAG architectures, vector databases and LLM integrations.
• Knowledge of metadata management, data quality, lineage and governance.
• Excellent verbal and written communication; English at least B2.

Responsibilities

• Lead workshops to define entities, relationships, attributes and synonyms.
• Develop and maintain ontologies, taxonomies and semantic models.
• Design scalable ELT/ETL workflows and graph loading processes.
• Implement semantic layers and metadata repositories to support RAG and Knowledge Graphs.
• Establish ontology governance and semantic versioning; manage business glossary.
• Collaborate with Architects, Stewards and AI engineers to ensure data quality and discoverability.

Skills

Data Engineering

Data Architecture

Knowledge Engineering

Semantic Technologies

RDF/OWL/SPARQL

SKOS/SHACL

Knowledge Graphs

ELT/ETL pipelines

Python

SQL

Metadata management

Data quality and lineage

Communication skills

English proficiency

Education

Bachelor's or Master's degree in Computer Science/Information Systems/Data Science/Engineering

Tools

Databricks

Snowflake

Azure/AWS

Neo4j/Amazon Neptune

Job description

We are seeking a Senior AI Engineer with deep expertise in semantic web technologies to act as the strategic bridge between business stakeholders (Data Governance, Enterprise Architecture, AI/Analytics teams) and technical implementation teams.In this role, you will design, build, and operationalize enterprise semantic and data foundations, translating complex business terminology, metadata requirements, and domain concepts into structured ontologies, knowledge graphs, and scalable data pipelines that power Analytics, AI, Agentic AI, Knowledge Management, and digital solutions.ResponsibilitiesLead workshops and discovery sessions with business and technical stakeholders to elicit, define, and document business entities, relationships, attributes, hierarchies, and competency questionsDevelop and maintain enterprise ontologies, taxonomies, controlled vocabularies, and semantic modelsMap source systems and business concepts into canonical semantic representationsDesign, develop, and maintain scalable ELT/ETL frameworks, graph-loading processes, and semantic transformations supporting structured, semi-structured, and unstructured dataImplement and optimize graph databases, semantic layers, and metadata repositories to directly support RAG (Retrieval-Augmented Generation), Knowledge Graph, and Agentic AI solutionsEstablish ontology governance frameworks and manage the business glossary and semantic versioningAutomate data quality validation, monitoring, lineage, and observability processesPartner with Data Architects, Solution Architects, Data Stewards, and AI Engineers to ensure semantic consistency, discoverability, and high data quality across all enterprise data productsRequirementsBachelor's or Master's degree in Computer Science, Information Systems, Data Science, Engineering, or a related field5+ years of combined professional experience in Data Engineering, Data Architecture, Knowledge Engineering, or Semantic TechnologiesExpertise in semantic web technologies (RDF, OWL, SPARQL), along with SKOS and SHACL, ontology development, taxonomy creation, and knowledge graph architectureProficiency in building enterprise-scale ELT/ETL pipelines and data integration frameworksFamiliarity with cloud data platforms (Databricks, Snowflake, Azure, or AWS)Advanced coding skills in Python and SQL, alongside graph querying and reasoning capabilitiesUnderstanding of modern AI patterns, including RAG architectures, vector databases, and LLM integrations, as well as agentic AI systemsKnowledge of metadata management, data quality, and lineage, along with governance principles and semantic versioningExceptional verbal and written communication skills, with the ability to articulate complex semantic and data concepts clearly to diverse technical and non-technical stakeholdersEnglish proficiency at an Upper-Intermediate level (B2) or higherNice to haveBackground in semantic tech (RDF, OWL, SPARQL), SKOS, SHACL, and Knowledge GraphsFamiliarity with AWS, Neo4j, and Amazon NeptuneSkills in vector databases, semantic layer platforms, and RAG integrationsWe offerCONTINUOUS UPSKILLING, LEARNING & DEVELOPMENTDiversity of tasks and projectsAssessment center for objective review of competency levelPersonal development planMentoring programs and leadership developmentCertification and professional development supportAccess to learning platforms including more than 2,500 internal coursesEnglish courses taught by certified teachersCORPORATE BENEFITSExtra leave daysReferral bonusesCOMPENSATION PACKAGECompetitive compensation paid in USDRegular salary and performance reviewsMEDICAL & HEALTHCAREPrivate health insuranceWell-being eventsWORKING ENVIRONMENTRecreation areas and kitchensTea, coffee and snacksSports equipment and game consolesIT EquipmentMicrosoft’s Software Assurance Home Use Program (HUP)Please note that our Talent Attraction Team reviews applications and CVs submitted in English.EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.