Oliver Wyman – AI Engineer (m/f/d) – Quotient AI Specialist – Madrid

Overview

As an AI Engineer in the WAVE team, you turn briefs into usable AI-enabled prototypes and production-ready solutions, with a focus on agents, LLMs, and practical ML. You work across software, data science, and AI delivery to build reusable, scalable outputs that support business development and project execution. This role blends hands-on implementation with cross-functional collaboration to move ideas from experiment to impact. You’ll join a mission to accelerate AI-enabled consulting delivery and create tangible enterprise value.

Pay / Benefits

• hybrid work
• inclusion and belonging
• learning and growth opportunities
• pilot to scale exposure
• performance and sustainability
• collaboration and mutual respect

Responsibilities

• Build AI agent and LLM-based solutions to support business development and project delivery
• Develop traditional ML models where appropriate to the problem
• Prototype delivery formats (agents, avatars, visual formats) to reduce dependence on slides and meetings
• Design with reuse and scale in mind, coordinating with Quotient Inside for productization
• Translate business needs into technical execution with the Technical Business Partner
• Collaborate with Platform/Infrastructure Engineering for reliable deployment
• Pair with Front-end / AI Content Creator on client-facing outputs
• Join client discussions to demonstrate technical credibility
• Help the team move quickly from experiments to delivery while maintaining quality

Key requirements

• Fluency in Python and modern AI/ML tooling across the build lifecycle
• Hands-on experience shipping LLM-based or ML solutions under time pressure
• For data-science-leaning track: strong math grounding (statistics, linear algebra) and modelling techniques
• For software-engineering-leaning track: solid engineering practices including testing, code hygiene, deployment
• Ability to make practical design decisions quickly and maintain momentum
• Experience building production-ready solutions, not just experiments
• Full professional English; Spanish welcome

• pragmatic, ship-it mindset
• clear communication
• collaboration across multi-disciplinary teams
• Python
• AI/ML tooling
• LLM-based solutions

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