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Director Core AI Engineering- Based in Madrid

At Suntory Global Spirits, we craft spirits of the highest quality and deliver brilliant experiences to people around the world. Suntory General Spirits has evolved into the world's third largest leading premium spirits company ... where each employee is treated like family and trusted with legacy. With our greatest assets - our premium spirits and our people - we're driving growth through impactful marketing, innovation and an entrepreneurial spirit. Suntory Global Spirits is a place where you can come Unleash your Spirit by making an impact each and every day.

What makes this a great opportunity?

This is a hands-on director-level technical leadership role with a clear mission: identify, design, and validate the next enterprise AI capabilities with the greatest potential to create business value.

The Director of Core AI Engineering will set the technical direction and operating model for emerging and complex enterprise AI capabilities, combining accountable technical leadership with direct involvement in architecture, critical engineering decisions, prototypes, enterprise integrations, code and design reviews, and technical validation.

You will lead a small, highly capable team and partner closely with AI Product Delivery, data, security, infrastructure, and application-engineering leaders to prove what is technically possible, resolve key architectural and integration questions, and create the technical blueprint and evidence needed for capabilities to be industrialized by delivery teams.

Role Responsibilities

Set the Core AI engineering direction

- Own the technical exploration roadmap, target architecture,



and engineering standards for emerging enterprise AI capabilities.
- Define architectural boundaries, design assumptions, and technical decision criteria in partnership with Product Delivery, data, security, infrastructure, and engineering teams.
- Make pragmatic decisions on architecture, model access and routing, orchestration, retrieval, integrations, and build-versus-buy choices.
- Create reusable reference patterns for AI orchestration, enterprise integrations, evaluation, observability, security, context management, and LLMOps.

Own the advanced AI systems stack

- Architect and validate agent runtimes, including single- and multi-agent orchestration, workflow routing, human-in-the-loop controls, retries, fallbacks, and recovery mechanisms.
- Design and test RAG and enterprise retrieval approaches, including ingestion, embeddings, vector indexing, hybrid retrieval, access controls, reranking, and knowledge-graph approaches.
- Prototype context-engineering, caching, memory, tool-using AI systems, and closed-loop improvement mechanisms.
- Establish viable model-serving and inference designs, including gateways, routing, latency, scalability, cost, performance, and fallback requirements.
- Select and test fit-for-purpose technologies based on measurable technical evidence.

Lead technical incubation and validated handoff

- Lead prioritized use cases through discovery, prototype, enterprise integration, evaluation, security review, and technical handoff.
- Remain hands-on in architecture, design and code reviews, critical prototypes, technical problem solving, and readiness decisions.
- Define reference implementations, interfaces, quality evidence, non-functional requirements, limitations, and acceptance criteria for industrialization.
- Establish clear handoff and knowledge-

📌 Director Core Ai Engineering- Based In Madrid
🏢 Suntory Global Spirits
📍 Madrid