Senior AI Engineer: Knowledge Graph & Enterprise AI

Alvarez & Marsal

Chicago (IL)

On-site

USD 190,000 - 210,000

Full time

4 days ago
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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

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