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Capco

Principal Consultant – Semantic Data & AI Engineering

Capco · US - New York

Posted about a month ago

or apply directly on Capco's site. We never take the application ourselves.

Is this posting real?

This role has been open
30 days
Capco's roles stay open a median of 45 days
Reposted
No
Salary listed
No
0% of Capco's roles list one
Ghost-job risk at Capco
low
0 stale, 19 reposted of 746 open
Hiring momentum
1111 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Capco's own greenhouse board since 2026-08-03. Full hiring picture for Capco.

About this role

The Principal Consultant for Semantic Data & AI Engineering at Capco will design and implement semantic data solutions that enhance enterprise data usability for AI and analytics. This hands-on role involves creating knowledge graphs, data pipelines, and integrating AI solutions, while also mentoring team members and leading technical workshops. The consultant will work across various project roles, translating business needs into practical data solutions and ensuring quality and governance in data management.

Our read on this posting3.4out of 5
benefits
3/5
freshness
4/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Capco as an employer.

What you need

  • Eight or more years of experience in data engineering, software engineering, artificial intelligence, analytics, enterprise architecture, or a related field.
  • At least four years of hands-on experience with knowledge graphs, semantic technologies, graph databases, or semantic-data integration.
  • Strong knowledge of RDF, RDFS, OWL, SPARQL, SHACL, SKOS, JSON-LD, Turtle, or related standards.
  • Experience with one or more graph platforms such as Stardog, Neo4j, GraphDB, Amazon Neptune, Anzo, MarkLogic, TigerGraph, Apache Jena, TypeDB, or equivalent technologies.
  • Strong programming skills in Python, Java, or a comparable enterprise language.
  • Experience developing data pipelines, APIs, transformations, automated tests, and production integrations.

Nice to have

  • Financial-services or other regulated-industry experience is strongly preferred.
  • Experience with data governance, metadata management, entity resolution, master data, responsible AI, model risk, or regulatory reporting is advantageous.
  • Relevant cloud, data-engineering, AI/ML, Agile, or graph-technology certifications are a plus.

What you get

  • Medical, Dental and Vision.
  • 401k match.
  • Maternity and paternity leave and dependent care.
  • Tuition reimbursement and wellness reimbursement.
  • Working Advantage (discounted marketplace), HSA, FSA, and commuter benefits.

Worth weighing

  • No salary listed, but a pay range is provided.
  • The role requires a broad skill set across multiple domains, which may be challenging for some candidates.
  • The position is not research-only, indicating a strong focus on practical application and delivery.

Summarised from Capco's posting. Read the full original.

Listed by Capco on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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