GenAI Engineer Database

Role Summary

We are seeking a Lead GenAI Database Engineer to design build and scale next-generation AI-native data platforms that power Generative AI Retrieval-Augmented Generation (RAG) and Knowledge Graphdriven applications. This role sits at the intersection of graph theory vector search relational data modeling and AI systems with a strong emphasis on hands-on technical leadership.

You will be responsible for architecting and implementing multi-modal data ecosystems that combine Graph Databases Vector Databases and Relational Databases to enable explainable scalable and production-grade GenAI solutions.

Key Responsibilities

1. GenAI Data Architecture & Platform Design

• Design and lead end-to-end GenAI data architectures supporting:
  • Retrieval-Augmented Generation (RAG)
  • Knowledge Graphaugmented LLMs (good to have)
  • Hybrid semantic symbolic reasoning systems
• Architect polyglot persistence strategies determining where Graph Vector and Relational databases are used and how they interoperate.
• Establish data standards schemas indexing strategies and performance benchmarks for AI-driven workloads.

2. Graph Database & Knowledge Graph (Hands-on)

• Own the design development and optimization of Knowledge Graphs for enterprise-scale use cases.
• Model complex domains using nodes edges properties and ontologies.
• Implement advanced graph capabilities:
  • Entity resolution and linking
  • Schema and ontology design (RDF / OWL where applicable)
  • Graph inference traversal and reasoning
• Hands-on experience with graph query languages.
• Engineer performant graph pipelines using databases.

3. Vector Databases & Semantic Retrieval

• Lead the implementation of vector-based retrieval systems to support semantic search and RAG pipelines.
• Design and manage:
  • Embedding storage and lifecycle management
  • Chunking indexing and hybrid retrieval strategies
• Optimize vector similarity search for scale latency and relevance.

4. Relational Database & Enterprise Data Engineering

• Design and maintain high-performance relational schemas supporting transactional analytical and AI workloads.
• Leverage RDBMS platforms such as:
  • PostgreSQL
  • MySQL
  • SQL Server
  • Oracle
• Implement:
  • Advanced indexing strategies
  • Query optimization
  • Stored procedures and data integrity constraints
• Ensure smooth integration between relational systems and Graph/Vector layers.

5. Technical Leadership & Governance

• Act as a technical lead and mentor for database and GenAI engineers.
• Review architecture designs code and data models.
• Establish best practices for:
  • AI data governance
  • Security privacy and compliance
  • Metadata management and lineage
• Partner with product ML and business stakeholders to translate use cases into scalable data solutions.

Required Qualifications

Core Technical Skills

• Expert-level hands-on experience with:
  • Graph Databases
  • Vector Databases
  • Relational Databases
• Good to have experience in designing and implementing Knowledge Graphs in production.
• Deep understanding of:
  • Graph theory and graph algorithms
  • Vector similarity search and embeddings
  • SQL and relational modeling

 Leadership Competencies

• Strong system-level thinking across data AI and infrastructure.
• Ability to influence architecture decisions across teams.
• Excellent communication skills with both technical and non-technical stakeholders.
• Bias toward ownership hands-on execution and continuous improvement.

Qualifications :

5 years overall experience in advanced data platforms and 3 years in GenAI / Graph databasedriven systems

Additional Information :

Our Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)

NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process including résumé screening candidate assessments interview scheduling job matching communication support and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQs principles of fairness transparency human oversight and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions require accommodations or wish to request human review were permitted by law please contact your local HR representative. For more information please visit NIQs AI Safety Policies and Guiding Principles: NIQ

NIQ is the worlds leading consumer intelligence company delivering the most complete understanding of consumer buying behavior and revealing new pathways to 2023 NIQ combined with GfK bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insightsdelivered with advanced analytics through state-of-the-art platformsNIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100 markets covering more than 90% of the worlds population.

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Our commitment to Diversity Equity and Inclusion

At NIQ we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.  All employment decisions at NIQ are made without regard to race color religion sex (including pregnancy sexual orientation or gender identity) national origin age disability genetic information marital status veteran status or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion please visit the  Work :

No

Employment Type :

Full-time