Principal Consultant – Semantic Data & AI Engineering

<h2>Principal Consultant – Semantic Data & AI Engineering</h2> <p><strong>Capco | Data & Analytics | New York, NY</strong></p> <h3>About the Role</h3> <p>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.</p> <p>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.</p> <p>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.</p> <h3>What You’ll Do</h3> <ul> <li>Design and implement enterprise knowledge graphs, semantic layers, ontologies, taxonomies, and graph-based data products.</li> <li>Translate business concepts, policies, documents, data models, and subject-matter expertise into governed, machine-readable knowledge models.</li> <li>Build semantic data pipelines that acquire, transform, map, validate, enrich, and load data from databases, APIs, files, documents, events, and cloud platforms.</li> <li>Integrate knowledge graphs with AI and machine-learning solutions, including generative AI, retrieval-augmented generation, GraphRAG, semantic search, and intelligent agents.</li> <li>Support NLP and document-intelligence use cases such as entity extraction, entity linking, relationship extraction, classification, natural language inference, and knowledge extraction.</li> <li>Combine graph traversal, vector search, metadata, rules, and model-generated results to improve AI accuracy, grounding, explainability, and traceability.</li> <li>Develop Python- or Java-based services, data transformations, APIs, validation routines, and integration components.</li> <li>Work with data scientists and AI engineers to prepare training, retrieval, evaluation, and inference data.</li> <li>Work with data engineers to implement batch, streaming, and API-driven pipelines using modern cloud and data platforms.</li> <li>Define semantic-data quality controls, provenance, lineage, confidence scoring, versioning, and governance processes.</li> <li>Evaluate graph databases, vector databases, data platforms, AI frameworks, and cloud services based on client requirements.</li> <li>Lead technical workshops, architecture decisions, prototypes, and production implementations.</li> <li>Mentor team members and create reusable patterns, accelerators, and reference architectures for Capco’s Graph, Semantics & AI practice.</li> <li>Support proposals, solution estimates, client presentations, and the development of new consulting offerings.</li> </ul> <h3>What You’ll Bring</h3> <ul> <li>Eight or more years of experience in data engineering, software engineering, artificial intelligence, analytics, enterprise architecture, or a related field.</li> <li>At least four years of hands-on experience with knowledge graphs, semantic technologies, graph databases, or semantic-data integration.</li> <li>Strong knowledge of RDF, RDFS, OWL, SPARQL, SHACL, SKOS, JSON-LD, Turtle, or related stand