Senior Graph Engineer

## Senior Knowledge Graph Engineer Apply:
USA - Remote:
Full time:
Posted Yesterday:
JR12237

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!
** About Quantiphi
** Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI—driving measurable outcomes at the very core of their operations.

Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value—not just technology for technology’s sake.

Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact.

For more details, visit:
Website or Linked In Page.  
** Role:
** Senior Knowledge Graph Engineer
*
* Experience:

** 5+ years of software/data engineering experience
*
* Employment Type:

** Full-Time (US Remote)
*
* Work Location:

** US Remote (Up to 25% travel to client sites across the US)  
** Role Overview
** We are looking for a Senior Knowledge Graph Engineer to design, build, and product ionize knowledge graph solutions for healthcare and clinical data.

Our architecture uses a hybrid graph approach, combining a Labeled Property Graph (LPG) for patient/clinical data with an RDF-based graph for clinical ontology and semantic knowledge.

The role will focus on translating ontology and mapping specifications into scalable graph solutions, including data transformation, graph ingestion, concept/entity linking, provenance, validation, and querying.

You will work closely with ontology, terminology, FHIR, clinical/domain, and data engineering teams to translate agreed semantic and mapping decisions into robust technical implementations.  
*
* Key Responsibilities:

*
* * Develop, implement, build, and maintain production knowledge graph solutions across
** LPG and RDF graph technologies**.
* Build scalable pipelines to transform healthcare/FHIR data into appropriate graph representations.
* Implement mappings between patient/clinical data and concepts represented in the clinical ontology.
* Develop reusable mapping and transformation patterns rather than one-off implementations.
* Implement consistent approaches for
** entity identity, canonical identifiers/URI/IRI, relationships, and concept linking**.
* Maintain
** provenance and traceability
** between source data, mapping rules, and resulting graph entities and relationships.
* Develop and optimize graph queries using
** Cypher and/or SPARQL**.
* Implement automated validation and testing to identify unresolved mappings, inconsistent relationships, and other graph-quality issues.
* Work with ontology, FHIR, terminology, and clinical SMEs to clarify ambiguous or missing mapping requirements.
* Participate in technical design, architecture reviews, code…