Senior AI Data Graph Engineer (Hybrid & AWS)

Lincoln Financial Group; Radnor (Delaware County); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Lincoln Financial Group is seeking a senior data/graph architect to lead discovery, model design, and graph-based retrieval across complex data environments. You will design canonical models, SPARQL-enabled queries, and secure access layers while building scalable AWS pipelines.

The role requires hands-on experience with graph databases (Neptune), GraphRAG, and cloud data platforms, plus advanced Python/SQL skills, CI/CD, and data governance ownership.

Qualifications

• Bachelor's degree or equivalent work experience with 5+ years of relevant experience building production data systems.
• Hands-on experience building and operating graph solutions with Amazon Neptune or comparable technology, including graph modeling, SPARQL, query analysis, and performance tuning.
• Hands-on implementation of GraphRAG or comparable hybrid graph-vector retrieval, including ingestion, embeddings, retrieval, reranking, grounding, and citations.
• Advanced Python and SQL, plus strong AWS data-platform experience, orchestration, data modeling, distributed processing, automated testing, CI/CD, and infrastructure as code.
• Proven ability to translate a business capability into semantics, rules, contracts, controls, interfaces, and measurable evaluations, and to lead architecture decisions through influence while contributing hands-on.
• Ownership of quality, lineage, privacy, access, observability, recovery, and production operations for sensitive or regulated data.

Responsibilities

• Lead discovery with business and product owners, domain experts, stewards, source owners, and partner AIDA pillars to define questions, actions, outcomes, product boundaries, and accountable owners.
• Design the product's canonical and consumer models, ontology and semantic layer, business rules, contracts, interfaces, quality controls, metadata, lineage, provenance, and secure access.
• Design and build graph models in Amazon Neptune or comparable technology, including entities, relationships, effective dates, rules, provenance, SPARQL queries, and performance tuning.
• Implement GraphRAG and hybrid graph-vector retrieval, including ingestion, entity and relationship extraction, embeddings, graph enrichment, filtering, retrieval, reranking, grounding, and citations.
• Design and build AWS source-to-product pipelines and agent-facing APIs or Model Context Protocol interfaces using fit-for-purpose lakehouse, orchestration, transformation, and infrastructure-as-code patterns.
• Evaluate graph, relational, vector, search, and rules-based approaches against representative questions, expected evidence, answer quality, latency, security, operational complexity, and cost.
• Lead a blended delivery pod through production readiness, code and design review, incident prevention, partner knowledge transfer, and reusable patterns that avoid unnecessary complexity and lock-in.

Skills

Graph solutions

Python

SQL

AWS

Data modeling

CI/CD

Education

Bachelor's degree or equivalent work experience

Tools

Amazon Neptune

SageMaker

OpenSearch

Bedrock

Job description

Lincoln Financial Group is seeking a senior data/graph architect to lead discovery, model design, and graph-based retrieval across complex data environments. You will design canonical models, SPARQL-enabled queries, and secure access layers while building scalable AWS pipelines.

The role requires hands-on experience with graph databases (Neptune), GraphRAG, and cloud data platforms, plus advanced Python/SQL skills, CI/CD, and data governance ownership.