Senior Consultant – Semantic Data & AI Engineer at TheStaffed
New York, NY
—
Aug 19, 2026
New York, NY
Sep 25, 2026
What this job asks for AI summary
A senior consulting role focused on designing and deploying knowledge graphs, semantic data models, and AI-driven data solutions for clients. The engineer will build ontologies, taxonomies, and graph-based data products; integrate them with generative AI and LLM applications; and develop Python/Java data pipelines and APIs. The position also involves leading technical workstreams and mentoring junior consultants.
Senior level · 8+ years
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $142,568 (middle half $111,775–$173,013).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 20, 2026. It is a model, not a headcount.
Why we read it this way (5)
The graph database requirement lists eight named platforms as alternatives (Neo4j, Stardog, GraphDB, Amazon Neptune, Anzo, MarkLogic, TigerGraph, Apache Jena, TypeDB) — experience with any one satisfies the gate.
Python and Java are listed together as a hard requirement ('Python or Java'); either language satisfies the gate, so each is marked required with the other as its alternative.
Cloud platform experience is a hard gate but the posting names both hyperscalers (AWS, Azure, GCP) and data-platform tools (Databricks, Snowflake, BigQuery, Redshift, Microsoft Fabric) in the same sentence. The hyperscalers are captured as a single required skill with alternatives; the data-platform tools are captured separately as preferred, since the posting frames them with 'or tools such as', suggesting they are illustrative rather than equally gated.
RAG/GraphRAG and LLM integration appear in the responsibilities section rather than the requirements block, so they are marked preferred.
The SOC is a close call between 15-1243 (Database Architects, for the knowledge-graph/semantic-modeling focus) and 15-1252 (Software Developers, for the Python/Java pipeline and API development). The semantic architecture and ontology design work is the primary differentiator, so 15-1243 is chosen with 15-1252 as the runner-up.
Read the full posting
The employer publishes the full description on their own site — read it there ↗. Or sign in to read it here — it's free, and it also lets you track this application.