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Senior Manager, AI Engineer Intelligence Layer

Alvarez & Marsal Chicago, IL

Chicago, IL

Today

$190k - $210k/yr Full time Backend Developer Manager Senior

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Job Description

Alvarez & Marsal is hiring a Senior AI Engineer to build and scale the Intelligence Layer, an A&M knowledge-graph-based platform that securely makes structured and unstructured knowledge available through search experiences. This role combines platform engineering with AI integration and agentic workflow development, with a focus on secure access, governance, and production reliability.

Location: Chicago, IL (onsite) | Salary: USD 190,000 - 210,000 per year

What you’ll build

Components of the Intelligence Layer, including ingestion pipelines, knowledge graph models, retrieval services, APIs, and user-facing capabilities.
Graph schemas and queries using Neo4j and Cypher (or comparable graph technologies).
Integrations that connect enterprise structured data and unstructured content, while preserving source permissions, metadata, and governance requirements.
LLM integrations, including applying the Model Context Protocol (MCP) so Intelligence Layer capabilities are available to approved AI tools.
Production-grade agentic pipelines with multi-step orchestration, tool routing, MCP-based tool use, retrieval, state management, evaluation, guardrails, observability, and human-in-the-loop controls.
Secure, maintainable software that supports client confidentiality, access control, reliability, and observability.

How the work is delivered

Partner with the Lead and Architect and delivery partners on implementation, testing, debugging, code review, and technical documentation.
Communicate risks and blockers early and help the team make practical technical decisions as priorities evolve.

What you bring

5+ 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 (React is listed).
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 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).

Technologies you’ll use

Neo4j, Cypher, Python
Large language model platforms, Claude, ChatGPT
Model Context Protocol (MCP)
OAuth 2.0, OpenID Connect, Microsoft Entra ID, Microsoft Azure
React, APIs, agentic pipelines

Benefits

Healthcare plans, flexible spending and savings accounts, life, AD&D, and disability coverages for regular employees working 30+ hours per week.
401(k) retirement savings plan, including an annual discretionary contribution when eligibility requirements are met.
Paid time off including vacation, personal days, seventy-two (72) hours of sick time (prorated for part-time employees), ten federal holidays, one floating holiday, and parental leave.

First-year outcomes

Support delivery of the initial production iteration of the Intelligence Layer knowledge graphs.
Deliver reusable agentic pipeline components supporting secure, governed workflows across business units and use cases.
Enable global search and business unit specific search across approved structured and unstructured data sources.
Ship tested ingestion, graph, retrieval, API, and user-interface components internal teams can operate and extend.
Establish reusable engineering patterns and documentation to expand to additional business units and data sources.

Preferred qualifications

Hands-on experience building MCP servers, agent tools, or custom AI integrations.
Experience with Microsoft Azure services for application hosting, data, search, identity, or AI.
Experience implementing enterprise authentication and authorization using Microsoft Entra ID, OAuth 2.0, OpenID Connect, token scoping, or on-behalf-of flows.

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