Description

The Team

The Senior AI Engineer helps build A&M's Intelligence Layer, a knowledge graph based platform that makes the firm's structured and unstructured knowledge securely available through global and business unit specific search experiences. This hands-on role works with the AI Engineering Lead and Architect, the Product Owner, internal engineering teams, and delivery partners. The team is small, the work is technically demanding, and priorities will move quickly, so this role requires sound judgment, adaptability, and a willingness to contribute wherever the build needs support. This is an opportunity to help build a state-of-the-art AI architecture designed to serve an entire enterprise. Success requires technical curiosity, a forward-looking perspective, and the ability to turn emerging approaches into reliable production capabilities on an ambitious timeline.

The Senior AI Engineer will work alongside the implementation partner throughout the initial production build, contribute directly to the architecture, knowledge graph design, ingestion pipelines, retrieval services, and user-facing capabilities, and develop deep working knowledge of the platform. From the outset, this person will help establish internal ownership and assume increasing responsibility for future iterations as the partner engagement concludes.

How you will contribute

• 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.

First Year Outcomes

• Help deliver the initial production iteration of the Intelligence Layer knowledge graphs.
• Help deliver reusable agentic pipeline components that support 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.

Qualifications

Required 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.

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.

Regular employees working 30 or more hours per week are also entitled to participate in Alvarez & Marsal Holdings' fringe benefits consisting of healthcare plans, flexible spending and savings accounts, life, AD&D, and disability coverages at rates determined periodically as well as a 401(k) retirement savings plan. Provided the eligibility requirements are met, employees will also receive an annual discretionary contribution to their 401(k) retirement savings plan from Alvarez & Marsal. Additionally, employees are eligible for 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. The amount of vacation and personal days available varies based on tenure and role type. Click here for more information regarding A&M's benefits programs.

The salary range is $190,000 - $210,000 annually, dependent on several variables including but not limited to education, experience, skills, and geography. In addition, A&M offers a discretionary bonus program which is based on a number of factors, including individual and firm performance. Please ask your recruiter for details.

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