Senior Consultant – Semantic Data & AI Engineering

Навыки

• Agile
• AI-инструменты в работе
• AWS
• Azure
• BigQuery
• CI/CD
• Data Lake

О компании и продукте

• Capco is seeking a hands-on Senior Consultant to design and deliver semantic data solutions that make enterprise information usable by artificial intelligence, machine learning, analytics, and business applications.
• This role is ideal for a versatile consultant who can contribute across knowledge-graph development, AI solution engineering, semantic modeling, and data-pipeline delivery. Depending on project needs, you may work as a knowledge-graph engineer, semantic modeler, AI engineer, data engineer, technical analyst, or workstream lead.
• You will collaborate with client stakeholders, architects, data scientists, AI engineers, and data engineers to connect structured and unstructured information, create machine-understandable knowledge models, and deliver trusted data foundations for AI. This is a hands-on delivery role requiring participation in modeling, coding, integration, testing, documentation, and production implementation.
• Senior Consultant – Semantic Data & AI Engineer

Задачи

• Design and build knowledge graphs, semantic layers, ontologies, taxonomies, and graph-based data products
• Translate business concepts, data models, policies, documents, and subject-matter expertise into machine-readable semantic models
• Develop data pipelines that acquire, transform, map, validate, enrich, and load information from databases, APIs, files, documents, and cloud platforms
• Integrate knowledge graphs with generative AI, retrieval-augmented generation, GraphRAG, semantic search, machine learning, and intelligent-agent solutions
• Support NLP and document-intelligence use cases, including entity extraction, entity linking, relationship extraction, classification, natural language inference, and knowledge extraction
• Combine graph data, metadata, vector search, business rules, and model outputs to improve AI grounding, accuracy, explainability, and traceability
• Develop Python- or Java-based data transformations, APIs, services, validation routines, and integration components
• Prepare and manage data used for AI retrieval, model evaluation, inference, and analytics
• Implement semantic-data quality controls, including SHACL validation, provenance, lineage, confidence scoring, and version management
• Participate in graph-platform evaluations, proofs of concept, architecture decisions, performance testing, and production deployments
• Create automated tests and support CI/CD, monitoring, troubleshooting, and production-support activities
• Facilitate requirements and modeling sessions with business and technical stakeholders
• Produce technical designs, semantic models, mappings, test cases, deployment documentation, and operational procedures
• Lead defined technical workstreams and mentor junior consultants, engineers, and analysts
• Contribute to reusable solution patterns, demonstrations, accelerators, proposals, and client presentations

Требования

• Four to six years of experience in data engineering, software engineering, artificial intelligence, analytics, knowledge management, or a related technology discipline
• Two or more years of hands-on experience with knowledge graphs, semantic technologies, graph databases, semantic-data integration, or closely related solutions
• Working knowledge of semantic standards such as RDF, RDFS, OWL, SPARQL, SHACL, SKOS, JSON-LD, or Turtle
• Experience with at least one graph platform such as Stardog, Neo4j, GraphDB, Amazon Neptune, Anzo, MarkLogic, TigerGraph, Apache Jena, TypeDB, or an equivalent technology
• Proficiency in Python, Java, or another enterprise programming language
• Experience developing data pipelines, transformations, APIs, automated tests, or production integrations
• Working knowledge of NLP, machine learning, embeddings, vector search, semantic search, RAG, GraphRAG, or LLM-based applications
• Experience integrating structured data with unstructured content such as policies, contracts, research, communications, or operational documents
• Familiarity with one or more cloud or modern data platforms, including Microsoft Azure, AWS, Google Cloud, Microsoft Fabric, Databricks, Snowflake, BigQuery, or Redshift
• Understanding of relational, graph, document, vector, and lakehouse data architectures
• Familiarity with Git, CI/CD, automated testing, containers, Agile delivery, and production-support practices
• Strong analytical, problem-solving, documentation, and communication skills
• Ability to work across multiple technical roles, learn unfamiliar technologies, and contribute throughout the delivery lifecycle
• Familiarity with 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 computer science, data science, information systems, engineering, linguistics, mathematics, or a related discipline is preferred

Будет плюсом

• Experience in financial services or another regulated industry is preferred
• 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

Условия

• 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
• US Pay Range
• 114,000 — $143,000 USD

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