Senior AI Engineer — Knowledge Graph & Enterprise AI

Alvarez & Marsal; Chicago (IL); On-site; USD 190,000 - 210,000; Full time

Job summary

Alvarez & Marsal (A&M) is seeking a Senior AI Engineer to help build the Intelligence Layer knowledge graph platform. The role focuses on knowledge graphs, graph schemas, and retrieval services while supporting Python back-end and modern front-end work when needed.

You will integrate structured and unstructured data, build LLM tool integrations, and develop production-grade pipelines with guardrails, observability, and human-in-the-loop controls, working with partners on delivery and

Qualifications

• Five or more years of software engineering experience.
• Hands-on experience with knowledge graphs, graph data modeling, and graph query languages, ideally Neo4j and Cypher.
• Full-stack development experience, with strong Python and back-end skills plus working experience with a modern front-end framework.
• Experience designing, building, and consuming APIs and integrating multiple structured and unstructured data sources.
• Practical experience with Claude, ChatGPT, or comparable large language model platforms.
• Hands-on experience building production agentic pipelines or workflows, including orchestration, tool use, retrieval, state management, evaluation, guardrails, observability, or human oversight.
• Working knowledge of the Model Context Protocol, including how MCP servers expose tools and data to AI clients.
• Experience working directly with third-party delivery vendors on implementation, technical review, issue resolution, and delivery coordination.
• Strong problem-solving, communication, and documentation skills.
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Responsibilities

• Build and maintain components of the Intelligence Layer, including ingestion pipelines, knowledge graph models, retrieval services, APIs, and user-facing capabilities.
• Develop and optimize graph schemas and queries using Neo4j and Cypher or comparable graph technologies.
• Contribute across the stack, with particular strength in back-end and Python development and the ability to support modern front-end development when needed.
• Integrate structured data and unstructured content from enterprise systems while preserving source permissions, metadata, and governance requirements.
• Build integrations with large language model platforms and apply the Model Context Protocol to make Intelligence Layer capabilities available to approved AI tools.
• Build, test, and operate production agentic pipelines, including multi-step orchestration, tool routing, MCP-based tool use, retrieval, state management, evaluation, guardrails, observability, and human-in-the-loop controls.
• Work with the Lead and Architect and delivery partners on implementation, testing, debugging, code review, and technical documentation.
• Develop secure, maintainable software that meets A&M's requirements for client confidentiality, access control, reliability, and observability.
• Communicate risks and blockers early and help the team make practical technical decisions as priorities evolve.

Skills

Software engineering

Knowledge graphs

Neo4j

Cypher

Python

Back-end development

Frontend framework

APIs

LLM platforms

Agentic pipelines

Education

Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience

Tools

Neo4j

Cypher

Azure

Microsoft Entra ID

OAuth 2.0/OpenID Connect

APIs

Job description

Alvarez & Marsal (A&M) is seeking a Senior AI Engineer to help build the Intelligence Layer knowledge graph platform. The role focuses on knowledge graphs, graph schemas, and retrieval services while supporting Python back-end and modern front-end work when needed.

You will integrate structured and unstructured data, build LLM tool integrations, and develop production-grade pipelines with guardrails, observability, and human-in-the-loop controls, working with partners on delivery and