Senior AI Engineer - Software Engineer Consultant II/Sr. Consultant I

Senior AI Engineer on Enterprise Intelligence Factory team to play a foundational role in building the enterprise Semantic Ontology Dimension Factory Platform. This platform enables AI ready analytics by combining semantic ontologies, knowledge graphs, agentic AI, and data engineering to automatically generate business ready star schemas from heterogeneous enterprise data sources. In this role, you will design and implement agent driven pipelines that leverage RDF/OWL ontologies, SPARQL, and Large Language Models (LLMs) to perform semantic alignment, dimension mining, and AI assisted data modelling at scale. You will work at the intersection of AI, semantics, and modern data platforms, helping establish engineering patterns and best practices for the team. This is a hands on senior individual contributor role, ideal for engineers who enjoy building core platform capabilities rather than isolated experiments.

• Design, build, and maintain agentic AI pipelines (using Google ADK or similar frameworks) to automate semantic mapping, dimension mining, and ontologydriven reasoning.
• Create and evolve enterprise ontologies in RDF/OWL, including upper ontologies and domain extensions aligned to CIM (where applicable), to enable reusable enterprise semantics.
• Engineer LLMpowered services for schema understanding, semantic alignment, ontology enrichment, and AIassisted metadata generation, with a focus on accuracy, traceability, and scale.
• Implement SPARQL querying and reasoning layers over knowledge graphs to drive downstream transformations and ensure consistent interpretation of business concepts.
• Architect and deliver Pythonbased microservices and batch pipelines that integrate semantic reasoning with modern dataengineering workflows.
• Build and optimize dimension and fact generation pipelines on Microsoft Fabric (Lakehouse, Spark, SQL, orchestration) to produce businessready star schemas from heterogeneous sources.
• Define and enforce engineering standards, design patterns, and reusable components for semantic and AIdriven data platforms (quality, observability, security, and performance).
• Partner with data architects, domain SMEs, and governance teams to validate semantic definitions, manage change, and ensure platform scalability and adoption.
• Conduct code reviews, mentor engineers, and influence technical decisions across the platform to raise engineering quality and delivery velocity.

• 6+ years of professional software engineering experience, with strong proficiency in Python and GenAI.
• Hands-on experience building LLM-based systems using commercial or opensource models.
• Solid understanding of semantic technologies: RDF, OWL, ontologies, knowledge graphs, and SPARQL.
• Experience designing or working with agentic AI frameworks (e.g., Google ADK, LangChain agents, or similar).
• Strong background in data engineering concepts (ETL/ELT, star schemas, metadata-driven pipelines).
• Experience building and operating systems on cloud platforms, preferably Microsoft Azure / Microsoft Fabric.
• Strong problemsolving skills and ability to work in ambiguous, greenfield platform initiatives.

• Experience with enterprise data models (e.g., CIM or canonical models).
• Familiarity with semantic alignment, ontology mapping, or data cataloguing tools.
• Exposure to MLOps / LLMOps, model evaluation, and AI observability.
• Knowledge of distributed systems, CI/CD pipelines, and containerisation.
• Experience building AIassisted analytics or semantic layers for BI or NLQ use cases.

Bachelors degree in Computer Science, Engineering, Data Science, or related field (preferred).

• This job does not have supervisory duties.

• In lieu of the above education requirements, an equivalent combination of education and experience may be considered.

Software Development

Shift B (India)