Lead AI Engineer, Business Acceleration

apartmentSGS placeMadrid calendar_month 

Experteer Overview

In this role you lead a business-embedded AI team in Madrid, translating high-stakes challenges into AI-powered solutions that create measurable P&L impact. You partner with P&L owners and the central AI Hub to design and deliver end-to-end AI applications.

You will mentor engineers, package reusable techniques as Lego Bricks, and ensure solutions scale across SGS. This is a strategic leadership position within SGS's digital transformation journey, combining hands-on delivery with platform-centric collaboration.

Compensaciones / Beneficios
  • Define and own the AI agenda for a designated business area, translating problems into high-value AI initiatives
  • Co-develop roadmaps from discovery to deployment with business leaders
  • Lead hands-on development of AI-powered applications, including data analysis, prompt engineering, and agentic workflows
  • Leverage the central AI Hub platform and reusable components to accelerate delivery
  • Provide feedback to shape the central AI roadmap and contribute reusable Lego Bricks to the library
  • Mentor product engineers within the Accelerator Team and set a high standard for technical excellence
  • Own project outcomes from business case to delivery and handover, ensuring robustness and value
  • Communicate with non-technical stakeholders to align on requirements and impact
Responsabilidades
  • Applied Generative AI & LLMs experience with hands-on building and shipping apps
  • Experience with RAG architectures, agentic systems (LangChain, LlamaIndex), fine‑tuning, and evaluation
  • Strong product mindset translating business needs into technical requirements
  • Expert-level Python and solid ML/DL foundation (PyTorch preferred)
  • Hands-on AI infrastructure and MLOps: vector databases (e.g., Pinecone, Weaviate), Docker, Kubernetes
  • Cloud AI services (GCP Vertex AI, AWS Bedrock/SageMaker)
  • Excellent stakeholder management and cross-functional collaboration
  • 8+ years in AI/ML with hands-on leadership
Requisitos principales
  • Top-of-market compensation
  • bonus package
  • direct business impact
  • startup-like autonomy within a large organization
  • access to cutting-edge AI platform
  • opportunity to shape digital transformation
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