{"@context":"https://schema.org","@type":"JobPosting","title":"AI Forward-Deployed Engineer","description":"

\n Description\n

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\n AI Forward-Deployed Engineer
\n Madrid, Spain \n

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\n About Alvarez & Marsal
\n Alvarez & Marsal (A&M) is a global 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.\n

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\n The Team
\n 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.\n

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\n How You Will Contribute
\n 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 Lab library to accelerate future engagements.\n

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\n Qualifications
\n Several years building and shipping software or data products used in production. Strong Python; comfortable with APIs, data pipelines, and cloud services (AWS, Azure, or GCP). Hands-on experience with LLM-based systems: prompt design, retrieval, tool/function calling, agent frameworks; practical understanding of failure modes. Routine use of version control, testing, and CI/CD. Client presence: ability to ask challenging questions and explain technical trade-offs in business terms. Fluent English; Spanish advantageous; other European languages welcome. Willingness to travel within Europe and to work on client sites several days per week during engagements.\n

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\n Desirable
\n Certification or delivery experience with enterprise platforms: SAP BTP/Joule, Salesforce Agentforce, Microsoft Copilot Studio or Power Platform. Consulting, agency, or client-facing delivery experience. Exposure to regulated environments, and to data protection, security review, or model risk processes. Front-end skills (e.g., React) to build usable interfaces around agents.\n

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\n Your journey at A&M
\n We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person’s unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance your career. We prioritize your well-being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&M. The possibilities are endless for high-performing and passionate professionals.\n

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\n Follow A&M On\n

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\n To learn more, visit: alvarezandmarsal.com\n

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