Lead Applied AI Engineer: End-to-End LLM Solutions (NYC)

Alvarez and Marsal; New York (NY); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Healthcare plans

401(k) retirement savings plan

Paid time off

Job summary

Alvarez and Marsal’s AI Lab team leads end-to-end delivery of applied AI solutions in New York, aligning business needs with production data and agent design. You will own delivery from proof of concept through deployment, partnering with Knowledge Management and Data to ensure success metrics and governance are met.

You will mentor engineers, design headless skills, and build scalable, responsible AI workflows with guardrails and human-in-the-loop controls, delivering reliable solutions for the

Qualifications

• Proven experience shipping LLM/agent-based systems in production
• Experience building production-grade AI workflows and governance
• Strong Python development experience and production tooling knowledge

Responsibilities

• Own end-to-end delivery of applied AI solutions from proof of concept to production
• Translate business needs into skills and agents with clear success metrics
• Collaborate with Knowledge Management, Data, and engineering teams to ensure governance and reliability
• Design headless skills and agentic workflows with multi-step orchestration and guardrails
• Mentor engineers and contribute to engineering standards for skills and agents

Skills

Python development

LLM / agent-based systems

Business-language communication

Mentoring & coaching

Education

Bachelor's degree in CS/Engineering/Math/Statistics

Tools

Claude Agent SDK

LangGraph

Semantic Kernel

Model Context Protocol (MCP)

Power Platform

SharePoint

Job description

Alvarez and Marsal’s AI Lab team leads end-to-end delivery of applied AI solutions in New York, aligning business needs with production data and agent design. You will own delivery from proof of concept through deployment, partnering with Knowledge Management and Data to ensure success metrics and governance are met.

You will mentor engineers, design headless skills, and build scalable, responsible AI workflows with guardrails and human-in-the-loop controls, delivering reliable solutions for the