Senior AI Engineer: Knowledge Graph & Enterprise AI

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

Benefits offered by this job

Healthcare plans

401(k) retirement savings plan

Paid time off

Job summary

Alvarez & Marsal seeks a Senior AI Engineer to help build the Intelligence Layer—a knowledge-graph based platform delivering secure, enterprise-wide search experiences. You will work with the AI Engineering Lead, Architect, Product Owner, and delivery partners to design and implement production-grade AI capabilities.

From day one, you will contribute to architecture, ingestion pipelines, retrieval services, and user-facing features, while gaining deep platform knowledge and taking increasing

Qualifications

• Five or more years of software engineering experience building production applications or data platforms.
• 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

Knowledge graphs

Neo4j/Cypher

Python backend

APIs design

LLM integration

Distributed systems

Communication

Education

Bachelor's degree in Computer Science or related field

Tools

Neo4j

Cypher

Azure

Git

OpenAI tools

Job description

Alvarez & Marsal seeks a Senior AI Engineer to help build the Intelligence Layer—a knowledge-graph based platform delivering secure, enterprise-wide search experiences. You will work with the AI Engineering Lead, Architect, Product Owner, and delivery partners to design and implement production-grade AI capabilities.

From day one, you will contribute to architecture, ingestion pipelines, retrieval services, and user-facing features, while gaining deep platform knowledge and taking increasing