Senior AI Engineer

Accord Technologies Inc; Philadelphia (Philadelphia County); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Accord Technologies Inc. is seeking a Senior AI Engineer to own the full AI stack in the insurance domain, spanning graph databases, ontologies, and data pipelines.

You will implement agentic orchestration, vector-based retrieval, and LLM API integrations while ensuring safety and robust explainability within an 8-week cadence. The role requires collaboration with ontologists and data scientists, delivering scalable solutions in hybrid Philadelphia environments, with a focus on production

Qualifications

• 3+ years hands-on with graph databases and semantic web standards.
• Experience with ontology authoring tools and data modeling.

Responsibilities

• Develop and maintain graph databases in production or PoC.
• Load, validate, and query ontologies in triple stores.
• Collaborate on ontology modeling with tools like Protégé or Metaphactory.
• Build and optimize RAG pipelines with agentic orchestration.
• Work with vector databases for embedding and retrieval tasks.
• Integrate LLM APIs with prompt engineering, guardrails, and citation mechanisms.
• Develop NL-to-SPARQL/NL-to-SQL generation solutions.
• Implement AI safety measures including prompt injection defenses and confidence scoring.

Skills

Graph databases

Ontology modelling

RAG pipelines

Agentic orchestration

LLM integration

AI safety

Project management

Collaboration

Tools

GraphDB

Neo4j

Stardog

Protégé

Metaphactory

Vector databases

NL-to-SPARQL/NL-to-SQL

LLM APIs

Job description

Job Description: Senior AI Engineer (Insurance domain and Data Background) Philadelphia, PA (Hybrid Day 1 onsite) Position type: W2 contract

Role

The Senior Data & AI Engineer owns the full technical stack, including connectors, ingestion framework, OneLake Medallion staging, GraphDB triple store, Vector Index, Agentic RAG orchestrator, LLM gateway, guardrails, and the consumption UI with conversational chat, SPARQL trace explainability, and graph explorer.

Responsibilities

• Develop and maintain graph databases (GraphDB, Neo4j, Stardog) in production or advanced PoC setups.
• Load, validate, and query ontologies within triple store environments.
• Collaborate with Data Consultants on ontology modeling using tools like Prot g or Metaphactory.
• Build and optimize RAG pipelines with agentic orchestration.
• Work with vector databases for embedding and retrieval tasks.
• Integrate LLM APIs (e.g., Anthropic Claude, OpenAI GPT, Azure OpenAI) with prompt engineering, guardrails, and citation mechanisms.
• Develop NL-to-SPARQL or NL-to-SQL generation solutions, employing few-shot prompting and schema grounding.
• Implement AI safety measures including prompt injection defenses, output sandboxing, and confidence scoring.
• Operate within an 8-week delivery cycle with weekly milestones.
• Collaborate closely with data modeling and ontologist teams.
• Leverage experience in financial services or insurance data environments where possible.

Required Skills

• 3+ years of hands-on experience with graph databases and semantic web standards.
• Proficiency in ontology authoring tools.
• Proven experience with RAG pipelines and agentic orchestration.
• Expertise in vector databases and LLM API integration.
• Knowledge of NL-to-SPARQL/NL-to-SQL conversion techniques.
• Strong understanding of AI safety protocols.
• Project management skills suitable for rapid development cycles.
• Excellent collaboration and communication skills.