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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 seeking a Senior AI Engineer to lead development of the Intelligence Layer, a knowledge-graph-based platform that securely exposes structured and unstructured knowledge through search and AI-assisted experiences. The role spans architecture and delivery across graph modeling, ingestion, retrieval services, APIs, and production agentic pipelines.

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 a focus on back-end and Python development, with 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 (MCP) 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.
Partner with the Lead and Architect and delivery partners on implementation, testing, debugging, code review, and technical documentation.
Develop secure and maintainable software aligned with client confidentiality, access control, reliability, and observability requirements.
Communicate risks and blockers early and support practical technical decisions as priorities evolve.

Requirements

Five (5) 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, including 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).

Technologies

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

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.

FIRST YEAR OUTCOMES

Help deliver the initial production iteration of the Intelligence Layer knowledge graphs.
Help 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.
Deliver tested ingestion, graph, retrieval, API, and user-interface components that internal teams can operate and extend.
Establish reusable engineering patterns and documentation that support additional business units and data sources.

Benefits

Healthcare plans, flexible spending and savings accounts, life, AD&D, and disability coverages for regular employees working 30 or more 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.

Compensation and Location

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

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