Principal Consultant – Semantic Data & AI Engineering

About this 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

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