Principal Consultant – Semantic Data & AI Engineering

Навыки

• Agile
• AI-инструменты в работе
• API (интеграции)
• AWS
• Azure
• BigQuery
• CI/CD

О компании и продукте

• 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.

Задачи

• 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

Требования

• 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
• Experience with data governance, metadata management, entity resolution, master data, responsible AI, model risk, or regulatory reporting is advantageous

Будет плюсом

• Financial-services or other regulated-industry experience is strongly 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
• 146,000 — $183,000 USD

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