AI Forward-Deployed Engineer (Madrid)

AI Forward-Deployed Engineer (Madrid)

03 oct
|
Alvarez And Marsal
|
Madrid

03 oct

Alvarez And Marsal

Madrid

Description

AI Forward-Deployed Engineer

Madrid, Spain

About Alvarez & Marsal

Alvarez & Marsal (A&M;) is a general professional services firm known for driving change and delivering results for companies, investors, and government entities. With a focus on operational, financial, and digital transformation, A&M; combines deep industry expertise with hands-on execution to help clients accelerate growth, improve performance, and create long-term value. Our people are action-oriented, entrepreneurial, and collaborative—committed to making a measurable impact for clients across sectors and geographies.

The Team

• The AI Lab is A&M;’s forward-deployed AI engineering capability within Digital & Technology Services EMEA, launching from Madrid.
• We embed directly within client teams to design, build, and ship AI agents, automations, and accelerators that move from advisory insight into production reality.
• We partner closely with A&M; consulting teams: consultants identify and quantify value; the AI Lab engineers make it real at the client—on their platforms, in their environment,



and with their people.

How You Will Contribute

• Build production-grade AI solutions (agents, workflow automations, integrations) that run in the client’s environment.
• Work on-site with client teams to understand processes before automating; stay with delivery through stabilization and handover.
• Move quickly from proof of concept to robust deployments (tests, error handling, logging, documentation, clean handover).
• Implement on client-preferred platforms: SAP Joule/BTP, Salesforce Agentforce, Microsoft Copilot and Power Platform, orchestration tools (e.g., n8n), or bespoke Python when required.
• Translate business cases into buildable technical designs; clearly communicate when constraints make a solution unviable.
• Enable client teams to operate and extend what you deliver (templates, patterns, enablement)—avoid creating dependency.
• Contribute assets and learnings back to the AI La

📌 AI Forward-Deployed Engineer (Madrid)
🏢 Alvarez And Marsal
📍 Madrid

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