Senior Consultant – Semantic Data & AI Engineering

What You’ll Bring

• Four to six years of relevant experience in data engineering, software engineering, AI, analytics, knowledge management, or a related discipline.
• At least two years of hands-on knowledge graph, semantic technology, graph database, or semantic integration experience.
• Working knowledge of RDF, RDFS, OWL, SPARQL, SHACL, SKOS, JSON-LD, or Turtle.
• Experience with at least one graph platform and proficiency in Python, Java, or another enterprise language.
• Experience with data pipelines, transformations, APIs, automated tests, or production integrations.
• Knowledge of NLP, machine learning, embeddings, vector search, semantic search, RAG, GraphRAG, or LLM applications.
• Familiarity with cloud or modern data platforms and with relational, graph, document, vector, and lakehouse architectures.
• Familiarity with Git, CI/CD, automated testing, containers, Agile delivery, and production support.
• Strong analytical, problem-solving, documentation, and communication skills.

Preferred Experience and Qualifications

• Financial services or regulated-industry experience is preferred.
• Knowledge of data governance, metadata management, entity resolution, master data, responsible AI, model risk, regulatory reporting, or data privacy is advantageous.
• A bachelor's degree or equivalent professional experience in a related discipline is preferred.
• Relevant cloud, data engineering, AI or machine learning, Agile, or graph technology certifications are a plus.

Workplace

• The posting includes a hybrid work marker for the New York role.

Why Join Capco

Benefits

• Benefits include medical, dental and vision coverage, a 401(k) match, parental leave, dependent care, tuition and wellness reimbursement, HSA, FSA, and commuter benefits.