Principal Consultant – Semantic Data & AI Engineering
- Salary
- $146,000 - $183,000
- Level
- Staff
- Work type
- Not stated
- Visa
- Not stated
Open. First seen 2 October 2026.
The team: Data & Analytics HIRES STEADILY
This role is one of 85 open in Data & Analytics. 19 were posted in the last 30 days and the oldest in October: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
SQL (33 of 85), Azure (31 of 85), Python (31 of 85), GCP (30 of 85), Agile (29 of 85), CI/CD (25 of 85), Machine Learning (21 of 85)
OTHER ROLES ON THIS TEAM
- Principal Data Architect posted Oct 15
- Data Engineer with DataBricks posted Oct 15
- Finance Data Engineer posted Oct 15
- Senior AI Product Analyst | Bank posted Oct 14
- Data Engineer | Banking posted Oct 12
- Data Analyst - GCP Big query posted Oct 8
- AI Governance Lead | Bank posted Oct 8
- Senior AI Product Analyst | Bank posted Oct 8
- Data Architect posted Oct 5
- AI Engineer posted Oct 2
- Technical Data Lead posted Sep 30
- GCP Data Engineer posted Sep 29
- Mid/Senior Data Engineer (Kraków/GCP) posted Sep 28
- Data Governance Specialist posted Sep 21
- MLOps/AI Engineer/ Data Scientist posted Sep 21
- GCP Data Engineer-LBG posted Sep 18
- GCP Data Engineer-LBG posted Sep 18
- GCP Data Engineer posted Sep 18
- Data Governance Analyst | Banking posted Sep 17
- Data Governance Specialist | Banking posted Sep 16
- AI Architect posted Sep 16
- AI Architect posted Sep 16
- AI Architect posted Sep 16
- Data Architect posted Sep 16
- Data Architect posted Sep 16
- Data Architect posted Sep 16
- Python Developer | Banking posted Sep 15
- Data Business Analyst – GCP / Hadoop posted Sep 10
- Data Engineer Snowflake - Qatar posted Sep 9
- Data Modelling Consultant (Insurance) posted Sep 7
- Data Modelling Consultant (Insurance) posted Sep 7
- Data Modelling Consultant (Insurance) posted Sep 7
- Data Modelling Consultant (Insurance) posted Sep 7
- Senior Data Architect (DataLake) posted Sep 7
- Data Engineer (DataLake) - All levels posted Sep 7
- Payments Product Owner | Digital & Mobile Banking posted Sep 3
- Qliksense Developer posted Sep 3
- Data Architect Lead posted Aug 31
- AI Engineer | Financial Services posted Aug 31
- Principal Consultant - Data Scientist Lead posted Aug 28
- Data Architect posted Aug 24
- Senior Consultant - Data posted Aug 21
- Expert Data Analyst posted Aug 17
- Mid Data Analyst posted Aug 13
- Senior Data Engineering - GCP Lead posted Aug 6
- Senior Data Engineering - PSM-Libra posted Aug 6
- Senior Data Migration Specialist posted Jul 29
- Senior AI Fullstack Engineer posted Jul 28
- AI Engineer | Insurance posted Jul 23
- Senior Data Scientist posted Jul 22
- AI Strategy & Transformation – Managing Principal posted Jul 20
- Principal Consultant - Data posted Jul 16
- Senior Data Consultant – Architecture, Modelling & Products posted Jul 10
- GCP Platform Engineer posted Jun 30
- Data Engineer with Kafka posted Jun 19
- Alteryx Developer posted Jun 17
- Sr Data Modeler posted Jun 11
- Senior Data Engineer (Banking) posted May 22
- Data Architect (Banking) posted May 22
- Data Analyst - Data Remediation - Mumbai posted May 15
- Data Management Consultant posted May 1
- AI Architect posted Mar 5
- Senior Data Architect - Wealth & Asset Management. posted Feb 19
- Management Consultant: Data Analytics Lead – Managing Principal (Director) posted Feb 6
- Applied AI & Analytics - Principal Consultant posted Jan 31
- Senior Data Analytics Consultant posted Jan 29
- Lead Data Analytics Consultant posted Jan 29
- Data & AI Strategy Consultant - Manager/Senior Manager posted Jan 28
- Senior Data Architect posted Jan 28
- Senior Data Modelling Consultant posted Jan 28
- Senior Data Scientist posted Jan 20
- Data Modeler posted Jan 13
- Data Science Manager posted Oct 29
- Data Strategy & Advisory Leader (Managing Principal) posted Sep 4
- Senior Data Analyst posted Aug 14
- GenAI Engineer posted May 19
- GenAI Engineer posted May 19
- GenAI Engineer posted May 19
- GenAI Engineer posted May 19
- Data Analyst with German language posted Oct 3
- Generative AI Engineer posted Apr 5
- Data Analyst with German language posted Jul 24
- Data Analyst with German language posted Oct 20
- Data Analyst with German language posted Oct 20
From the team and dates on Capco's own job board.
About the role
Principal Consultant – Semantic Data & AI Engineering
Capco | Data & Analytics | New York, NY
About the Role
Capco is seeking a hands-on Principal Consultant to design and build semantic data solutions that make enterprise data usable by artificial intelligence, machine learning, analytics, and business applications.
This role is designed for a versatile technical leader who can move across knowledge-graph engineering, AI solution development, data modeling, and data-pipeline delivery. The successful candidate will help clients connect structured and unstructured information, create machine-understandable representations of business knowledge, and provide trusted context for AI applications.
You will work across multiple project roles depending on client needs—serving as a semantic architect, knowledge-graph engineer, AI engineer, data engineer, technical lead, or client advisor. This is not a research-only or ontology-only position. The role requires someone who can translate business requirements into practical solutions and contribute directly to architecture, code, data pipelines, testing, and production delivery.
What You’ll Do
- Design and implement enterprise knowledge graphs, semantic layers, ontologies, taxonomies, and graph-based data products.
- Translate business concepts, policies, documents, data models, and subject-matter expertise into governed, machine-readable knowledge models.
- Build semantic data pipelines that acquire, transform, map, validate, enrich, and load data from databases, APIs, files, documents, events, and cloud platforms.
- Integrate knowledge graphs with AI and machine-learning solutions, including generative AI, retrieval-augmented generation, GraphRAG, semantic search, and intelligent agents.
- Support NLP and document-intelligence use cases such as entity extraction, entity linking, relationship extraction, classification, natural language inference, and knowledge extraction.
- Combine graph traversal, vector search, metadata, rules, and model-generated results to improve AI accuracy, grounding, explainability, and traceability.
- Develop Python- or Java-based services, data transformations, APIs, validation routines, and integration components.
- Work with data scientists and AI engineers to prepare training, retrieval, evaluation, and inference data.
- Work with data engineers to implement batch, streaming, and API-driven pipelines using modern cloud and data platforms.
- Define semantic-data quality controls, provenance, lineage, confidence scoring, versioning, and governance processes.
- Evaluate graph databases, vector databases, data platforms, AI frameworks, and cloud services based on client requirements.
- Lead technical workshops, architecture decisions, prototypes, and production implementations.
- Mentor team members and create reusable patterns, accelerators, and reference architectures for Capco’s Graph, Semantics & AI practice.
- Support proposals, solution estimates, client presentations, and the development of new consulting offerings.
What You’ll Bring
- 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.
- Working knowledge of NLP, machine learning, embeddings, vector search, semantic search, RAG, GraphRAG, or LLM-based applications.
- Experience connecting structured data with unstructured content such as policies, contracts, research, communications, or operational documents.
- Familiarity with cloud and modern data platforms such as Microsoft Azure, AWS, Google Cloud, Microsoft Fabric, Databricks, Snowflake, BigQuery, or Redshift.
- Understanding of relational, graph, document, vector, and lakehouse architectures and when to use each.
- Experience with Git, CI/CD, automated testing, containers, Agile delivery, and production-support practices.
- Ability to communicate technical concepts clearly to business stakeholders, architects, engineers, data scientists, and executives.
- Demonstrated ability to operate across multiple roles, learn new technologies quickly, and take ownership from initial discovery through production delivery.
Preferred Experience
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.
Why Join Capco
- Deliver high-impact technology solutions for Tier 1 financial institutions.
- Work in a collaborative, flat, and entrepreneurial consulting culture.
- Access continuous learning, training, and industry certifications.
- Be part of a team shaping the future of digital financial services.
- Help shape the future of digital transformation across FS & Energy.
We offer a competitive, people-first benefits package designed to support every aspect of your life:
Benefits
- 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.
Inclusion at Capco
We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.
#LI-CZ1
#LI-HYBRID
US Pay Range
$146,000—$183,000 USD
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