# Principal Consultant – Semantic Data & AI Engineering at Capco Principal Consultant – Semantic Data & AI Engineering at Capco in US - New York. Hybrid. Posted August 17, 2026. - Company: Capco - Location: US - New York - Workplace: Hybrid - Posted: 2026-08-17 - Apply: https://job-boards.greenhouse.io/capco/jobs/8132323 - Source: https://jobmagic.ai/jobs/principal-consultant-semantic-data-ai-engineering-capco-zs84vg ## Requirements - 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. ## Description ### 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