AI Knowledge Systems/Graph Engineer

We do Consulting Differently

This role could be remote (from Argentina or the UK) or hybrid

The BRG AI Lab is building a production graph reasoning platform that ingests hundreds of thousands of documents per matter and supports defensible, courtroom-grade analysis for consulting engagements. The Knowledge Systems / Graph Engineer owns the graph layer end-to-end — how evidence becomes entities and relationships, how those structures are isolated per matter, and how LLM agents traverse them to answer questions spanning 5–15 reasoning hops.

Two peer-level positions are open. Both engineers share ownership of the graph layer and the Matter Isolation Model, with day-to-day focus split by workstream or practice domain. Most of what is described below does not yet exist — this is a design and build role.

Key Responsibilities

• Matter Isolation Model (greenfield design). Design the isolation architecture from scratch: per-matter partitioning, access boundaries, audit trails, and the patterns that keep one client’s entities, relationships, and embeddings separate from another’s across the data stack.

• Graph Ingestion Strategy. Define how unstructured evidence becomes a typed, provenance-tracked graph: extraction, schema evolution, cross-document entity resolution, confidence scoring, human-in-the-loop review, and incremental re-ingestion mid-matter.

• Multi-Hop Query Patterns by Practice Area. Build a library of parameterised query patterns tuned to each practice group’s reasoning shapes — causation chains, ownership structures, temporal sequences. Benchmark and tune for 5–15 hop depth without performance or accuracy collapse.

• Agent-Driven Graph Reasoning. Design the graph-side tool surface that LLM agents call: typed query tools, traversal primitives, result shaping for LLM consumption, and cost / latency guardrails. Agent orchestration itself sits with the application engineering team.

• Cross-layer consistency. Keep the graph, vector embeddings, and search indexes semantically aligned so answers from different layers reconcile rather than contradict.

Qualifications — Required

• 5+ years of data or backend engineering experience, including 2+ years on production knowledge graphs or entity resolution systems.

• Strong graph database and Cypher experience. Comfortable with query planning, index selection, and the performance characteristics of deep traversals (5–15 hops).

• Strong Python for production data engineering — ETL, schema evolution, data quality, testing.

• Practical entity resolution at scale: blocking, similarity scoring, machine-learned matchers, provenance and confidence tracking, human-in-the-loop review.

• Working familiarity with vector retrieval and how it complements graph reasoning in RAG-style systems.

• Strong written and verbal English; able to translate consulting domain language into graph schema and collaborate with distributed teammates.

Qualifications — Preferred

• Neo4j experience. Production experience with Neo4j specifically — operational patterns, Cypher performance tuning, and schema migration at scale.

• Azure cloud experience. Our platform runs on Azure; fluency on AWS or GCP is also fine.

• Designing multi-tenant or matter-scoped isolation patterns in regulated industries (legal, financial services, healthcare).

• Designing tool contracts or APIs that LLM agents consume — good judgement on tool granularity, result shaping, and failure modes.

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About BRG

BRG combines world-leading academic credentials with world-tested business expertise and purpose-built emerging technologies. Our culture centers on agility and connectivity which sets us apart and gets you ahead.

At BRG, our professionals include specialist consultants, industry experts, renowned academics, and leading-edge data scientists. Together, they bring a diversity of real-world experience, data, and human and artificial intelligence, to economics, disputes, and investigations; corporate finance; and performance improvement services that address the most complex challenges facing organizations across the globe.

Our unique structure nurtures the interdisciplinary relationships that give us the edge, laying the groundwork for more informed insights and more original, incisive thinking.  When paired with our global reach and resources, our diverse perspectives and technical capabilities make us uniquely capable to address our clients’ challenges. We get results because we know how to apply our thinking to your world.

At BRG, we don’t just show you what’s possible. We’re built to help you make it happen.

BRG is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, religion, color, sex, gender, national origin, age, United States military veteran status, ancestry, sexual orientation, marital status, family structure, medical condition including genetic characteristics or information, veteran status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law.