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Principal Consultant – Semantic Data & AI Engineering

Capco · US - New York
// classified as
Other (Adjacent or hard to classify.)
posted
1d ago
location
US - New York
languages
java, python
tools
aws, azure, bigquery
> stack
javapythonawsazurebigquerydatabricksneo4jsnowflake
> education
master
> description
<h2>Principal Consultant – Semantic Data &amp; AI Engineering</h2> <p><strong>Capco | Data &amp; 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 &amp; 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 standards.</li> <li>Experience with one or more graph platforms such as Stardog, Neo4j, GraphDB, Amazon Neptune, Anzo, MarkLogic, TigerGraph, Apache Jena, TypeDB, or equivalent technologies.</li> <li>Strong programming skills in Python, Java, or a comparable enterprise language.</li> <li>Experience developing data pipelines, APIs, transformations, automated tests, and production integrations.</li> <li>Working knowledge of NLP, machine learning, embeddings, vector search, semantic search, RAG, GraphRAG, or LLM-based applications.</li> <li>Experience connecting structured data with unstructured content such as policies, contracts, research, communications, or operational documents.</li> <li>Familiarity with cloud and modern data platforms such as Microsoft Azure, AWS, Google Cloud, Microsoft Fabric, Databricks, Snowflake, BigQuery, or Redshift.</li> <li>Understanding of relational, graph, document, vector, and lakehouse architectures and when to use each.</li> <li>Experience with Git, CI/CD, automated testing, containers, Agile delivery, and production-support practices.</li> <li>Ability to communicate technical concepts clearly to business stakeholders, architects, engineers, data scientists, and executives.</li> <li>Demonstrated ability to operate across multiple roles, learn new technologies quickly, and take ownership from initial discovery through production delivery.</li> </ul> <h3>Preferred Experience</h3> <p>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.</p> <p>Relevant cloud, data-engineering, AI/ML, Agile, or graph-technology certifications are a plus.</p> <p>&nbsp;</p> <h3 class="isSelectedEnd">Why Join Capco</h3> <ul data-spread="false"> <li>Deliver high-impact technology solutions for Tier 1 financial institutions.</li> <li>Work in a collaborative, flat, and entrepreneurial consulting culture.</li> <li>Access continuous learning, training, and industry certifications.</li> <li>Be part of a team shaping the future of digital financial services.</li> <li>Help shape the future of digital transformation across FS &amp; Energy.</li> </ul> <p class="isSelectedEnd">We offer a competitive, people-first benefits package designed to support every aspect of your life:</p> <h3 class="isSelectedEnd"><strong>Benefits</strong></h3> <ul data-spread="false"> <li>Medical, Dental and Vision.</li> <li>401k match.</li> <li>Maternity and paternity leave and dependent care.</li> <li>Tuition reimbursement and wellness reimbursement.</li> <li>Working Advantage (discounted marketplace), HSA, FSA, and commuter benefits.</li> </ul> <h3 class="isSelectedEnd"><strong>Inclusion at Capco</strong></h3> <p class="isSelectedEnd">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.</p> <p>&nbsp;</p> <p>&nbsp;</p> <p><span style="color: rgb(255, 255, 255);">#LI-CZ1</span></p> <p><span style="color: rgb(255, 255, 255);">#LI-HYBRID</span></p> <p>&nbsp;</p> <p>&nbsp;</p><div class="content-pay-transparency"><div class="pay-input"><div class="title">US Pay Range</div><div class="pay-range"><span>$146,000</span><span class="divider">&mdash;</span><span>$183,000 USD</span></div></div></div>