> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt. # Principal Consultant – Semantic Data & AI Engineering Canonical URL: https://nextmove.md/fde/jobs/67092a02a2043ad9 Capco posts a principal FDE role to build what the customer runs in New York, NY, at $146,000–$183,000 base, below the staff+ FDE median of $225,000 across 388 postings with pay. Principal Consultant leading hands-on design and delivery of semantic data, knowledge-graph, and AI engineering solutions for enterprise clients. Read from the employer’s posting on November 9, 2026. - [Capco](https://nextmove.md/fde/companies/capco) Posted Aug 17, 2026 by Capco · open on Greenhouse as of Nov 9, 2026 **$146,000–$183,000** New York, NY Hybrid Principal Consultant leading hands-on design and delivery of semantic data, knowledge-graph, and AI engineering solutions for enterprise clients. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F67092a02a2043ad9&placement=top) - [View posting at Capco](https://job-boards.greenhouse.io/capco/jobs/8132323) Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so. ## At a glance ### Posted base pay $146K–$183K Below the median Midpoint $165K · median $225K This job $146K to $183K. Staff+ FDE postings, 388 postings: the middle 50% of posted pay is $197K to $262K, median $225K. ### The work Builds what the customer runs Balance **Mostly building** Project stages 1. Pre-sales 2. Proof of concept 3. Implementation 4. Operations - **Coding**: Writes production code - **Builds for**: External customers - **Level**: Staff+ - **Role**: Technical lead ### What they ask for Experience - **8+ years** data engineering, software engineering, artificial intelligence, analytics, enterprise architecture, or related field - **4+ years** knowledge graphs, semantic technologies, graph databases, or semantic-data integration Background - **Software engineering** - **Implementation and data engineering** ### Do you meet what the posting states? The posting asks for 4+ years. How many do you have? The posting reads as a staff-level role. What level are you at now? The job is in New York, NY. Could you work there? Which of these have you used in production? Answer each one. 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[What postings ask for, by background →](https://nextmove.md/fde/paths) ## Conditions - **Location**: New York, NY - **Work arrangement**: Hybrid - **Pay**: ## More like this [Celonis](https://nextmove.md/fde/companies/celonis) ### [Lead Deployment Architect - AI](https://nextmove.md/fde/jobs/bf236dfac408a8bc) New York, NY Hybrid 3mo ago $177,000–$190,000 [BCG](https://nextmove.md/fde/companies/bcg) ### [BCG Platinion | Lead AI Tech Architect - AI Platforms](https://nextmove.md/fde/jobs/0d4252868cd1a506) Atlanta, GA · Austin, TX · +16 more 5mo ago $190,000 [Accenture](https://nextmove.md/fde/companies/accenture) ### [AI Engineer - FDE Software Engineering Sr. Manager](https://nextmove.md/fde/jobs/d71e3d95228a376e) New York, NY · Milwaukee, WI · +40 more 7w ago $112,900–$302,400 ## The job description from Capco Posted by Capco on Aug 17, 2026 ### 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 [View posting at Capco](https://job-boards.greenhouse.io/capco/jobs/8132323) ## About Capco Wipro-owned consultancy delivering business, technology, data, and AI transformation for financial services and energy clients. 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