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Knowledge Graph Architect Jobs in Natick, MA (NOW HIRING)

Quantiphi, Inc.

Architect Data Engineer

Boston, MA · On-site +1

Architect Data Engineer - AI Platforms Experience Level: 10+ yrs Work Location: US East/Canada ... Define multi-tenant schemas and Knowledge Graph ontologies that allow LLM agents to perform complex ...

Quantiphi, Inc.

Architect Data Engineer

Boston, MA · On-site

Architect Data Engineer - AI Platforms Experience Level:10+ yrs Work Location:US East/Canada ... Define multi-tenant schemas and Knowledge Graph ontologies that allow LLM agents to perform complex ...

IQVIA

AI Solutions Architect (Remote)

Boston, MA · On-site +1

$68.50 - $90.25/hr

We are seeking an experienced AI Solutions Architect to lead the design and delivery of next ... Experience designing and implementing biomedical knowledge graph solutions, including the ...

IQVIA

AI Solutions Architect (Remote)

Boston, MA · On-site +1

$68.50 - $90.25/hr

We are seeking an experienced AI Solutions Architect to lead the design and delivery of next ... Experience designing and implementing biomedical knowledge graph solutions, including the ...

NAVA Software Solutions

AI Engineer - Remote

Boston, MA · On-site +1

Knowledge graph implementation (Neo4j preferred). LLM optimization & improved response handling ... Guide architecture, infrastructure, and tools for AI/ML products. * Develop rapid prototypes and ...

Takeda

Associate Director - Data Modeling

Cambridge, MA · On-site

$64K - $65K/yr

Primary and Secondary Data Architecture & Data Management * Design, specify and manage both primary ... Knowledge graph development * Based upon prioritized R&D needs and input from R&D organizations and ...

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Knowledge Graph Architect information

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$48K

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How much do knowledge graph architect jobs pay per year?

As of Aug 2, 2026, the average yearly pay for knowledge graph architect in Natick, MA is $132,925.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,900.00 and $171,400.00 per year, depending on experience, location, and employer.

What are Knowledge Graph Architects?

Knowledge Graph Architects are professionals who design, develop, and maintain knowledge graphs—data structures that organize information into interconnected entities and relationships. They combine expertise in data modeling, semantic technologies, and ontologies to enable advanced data integration, search, and analytics within organizations. Their work helps businesses extract meaningful insights from complex datasets by structuring information in ways that are both machine-readable and semantically rich.

What are some typical challenges Knowledge Graph Architects face when integrating data from diverse sources?

Knowledge Graph Architects often encounter challenges related to data heterogeneity, including varying data formats, inconsistent naming conventions, and differing semantics across multiple systems. Successfully integrating these disparate data sources requires designing robust ontologies, mapping relationships, and resolving conflicts to ensure data consistency and usability. Collaboration with domain experts, data engineers, and business stakeholders is essential to align technical solutions with business needs, making strong communication skills and adaptability crucial in this role.

What are the key skills and qualifications needed to thrive as a Knowledge Graph Architect, and why are they important?

To thrive as a Knowledge Graph Architect, you need expertise in data modeling, semantic technologies, graph databases, and a strong background in computer science or information systems. Familiarity with tools like RDF, SPARQL, OWL, Neo4j, and experience with data integration platforms or cloud-based data services is highly valuable. Strong problem-solving, communication, and stakeholder management skills are essential to translate complex data needs into scalable knowledge graph solutions. These competencies enable effective design, implementation, and maintenance of knowledge graphs, which are critical for deriving actionable insights from complex data landscapes.
What job categories do people searching Knowledge Graph Architect jobs in Natick, MA look for? The top searched job categories for Knowledge Graph Architect jobs in Natick, MA are:
What cities near Natick, MA are hiring for Knowledge Graph Architect jobs? Cities near Natick, MA with the most Knowledge Graph Architect job openings:
Knowledge Graph Architect jobs near you

Director, Knowledge Graph & Semantics - HYBRID ROLE

Vertex Pharmaceuticals

Boston, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 28 days ago

Vertex Pharmaceuticals rating

6.5

Company rating: 6.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

78th of 86 rated pharmaceutical

Job description

Job Description
This is a Hybrid position requiring 3 days a week in our Boston office
We are seeking an experienced engineering leader to build and operate Vertex's enterprise Knowledge Graph and Semantic Layer: the unified, navigable representation of Vertex's data, concepts, and relationships that AI agents and analytical systems traverse to reason over our business. Vertex Pharmaceuticals is in a transformational period, and the AI team is at the center of our AI-first strategy, delivering AI solutions that empower executives, researchers, and business users to make faster, more confident decisions.
As part of the Vertex Data Engineering team, you will lead the Knowledge Graph & Semantics function within Knowledge & Grounding. Your team builds the graph that connects Vertex across clinical, research, regulatory, and commercial domains, and the AI semantic layer that defines the business meaning, metrics, and dimensions that sit on top of it. The capability you build becomes the substrate that AI agents traverse to ground their reasoning, and that analytical systems use to answer cross-domain questions consistently across the enterprise.
As the Director of Knowledge Graph & Semantics, you will define the graph and semantic strategy for Vertex, select the underlying technology stack, and lead the engineering team that brings it to life.
The capability you build will accelerate every downstream AI and analytics initiative at Vertex by giving them a single, governed, traversable model of how Vertex's data fits together.
Key Duties and Responsibilities:
  • Enterprise Knowledge Graph. Design, build, and operate Vertex's enterprise knowledge graph spanning clinical, research, regulatory, and commercial domains, including ingestion, storage, query, and lifecycle management of nodes, edges, and properties.
  • Semantic Layer. Build and govern the enterprise semantic layer that enables metrics, dimensions, business entities, and relationships in a single, consistent model used by AI agents.
  • Graph and Semantic Strategy. Define Vertex's strategy for graph and semantic platform, including technology selection (graph database, AI semantic layer tooling, query API) and the architecture that unifies them.
  • Ontology Partnership. Partner with the ontology and data modeling function to translate domain ontologies into the graph, ensuring fidelity to source models and consistency across domains.
  • Agent Traversal & Retrieval. Build the graph traversal and retrieval interfaces that AI agents and other consumers use to ground their reasoning, including pattern queries, semantic search over graph context, and graph-aware retrieval for RAG systems.
  • Application & System Onboarding. Partner with application and system owners across Vertex to onboard their systems into the enterprise knowledge graph and semantic layer.
  • Production Operations. Own SLAs, observability, query performance, cost, and continuous improvement for the graph and semantic layer in production.

Knowledge and Skills:
  • Proven Experience. 10+ years of experience in data engineering, AI/ML, or advanced analytics, with 3+ years specifically focused on knowledge graphs, semantic technologies, or enterprise data modeling at scale.
  • Knowledge Graph Expertise. Deep hands-on experience designing and operating enterprise knowledge graphs, including schema design, ingestion, query, and traversal patterns. Familiarity with multiple graph paradigms (property graph, RDF/semantic web, hybrid graph + vector approaches) and the trade-offs between them.
  • Semantic Layer Expertise. Strong experience building and governing semantic layers (e.g., dbt Semantic Layer, Cube, AtScale, LookML, or comparable) that serve analytics and AI consumers consistently.
  • Cloud Data Platforms. Strong experience with Snowflake and/or Databricks in enterprise environments, including how graph and semantic capabilities integrate with these platforms.
  • Cross-Domain Data Integration. Track record of integrating data across multiple business domains, including entity resolution, master data, and lineage at enterprise scale.
  • AI & Agent Grounding. Working understanding of how knowledge graphs and semantic layers are consumed by AI agents and RAG systems, including graph-aware retrieval and traversal for agent reasoning.
  • Production Operations. Track record of operating graph and analytical systems in production with high availability, query performance, and continuous improvement.
  • Leadership & Communication. Proven ability to lead technical teams, communicate with executive stakeholders, and translate business needs into graph and semantic models.

Preferred
  • Pharma or Life Sciences Context. Experience in pharmaceutical, biotech, or life sciences data environments. Familiarity with clinical, regulatory, and commercial data domains is a plus.
  • Regulated Environment Experience. Working knowledge of GxP, 21 CFR Part 11, and validated-system constraints on data and AI deployments.
  • Life Sciences Ontologies. Familiarity with industry ontologies and standards (e.g., SNOMED CT, MedDRA, LOINC, RxNorm, CDISC, IDMP) and how they map into enterprise graph models.
  • Graph Query Languages. Hands-on experience with Cypher, SPARQL, Gremlin, GQL, or comparable graph query languages.
  • LLM Integration with Graphs. Experience with text-to-Cypher, text-to-SPARQL, or other LLM-driven graph query generation, and graph-augmented retrieval for AI systems.

Pay Range:
$216,400 - $324,600
Disclosure Statement:
The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.
At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.
Flex Designation:
Remote-Eligible
Flex Eligibility Status:
In this Remote-Eligible role, you can choose to be designated as:
1. Remote: work remotely five days per week and come into the office on occasion - you're always welcome on-site; or select
2. Hybrid: work remotely up to two days per week; or select
3. On-Site: work five days per week on-site with ad hoc flexibility.
Note: The Flex status for this position is subject to Vertex's Policy on Flex @ Vertex Program and may be changed at any time.
#LI-Remote
Company Information
Vertex is a global biotechnology company that invests in scientific innovation.
Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.
Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com

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