Descripción de la oferta
We are looking for a Tech Lead / Lead Engineer to provide technical leadership and strategic direction for AI and Machine Learning solutions.
This is a critical, enterprise-level role focused on designing and scaling reusable AI products that deliver measurable business value across complex, multi-tenant environments and multiple operating companies.
You will play a critical role in balancing cost, risk, and time-to-value, ensuring scalable, reusable, and enterprise-grade AI solutions that can be leveraged across multiple operating companies.
Technical Leadership & Architecture
Define and drive technical strategy and architecture for AI/ML solutions.
Lead the design of reusable AI products adopted across multiple business units.
Provide hands‑on technical leadership across multiple squads, ensuring consistency and quality.
Develop and evolve technical blueprints, enabling early value delivery and industrialization of AI products.
Simplify complexity in multi‑tenant environments, ensuring seamless cross‑company integration.
AI / ML Platform Ownership
Define the technical direction for AI/ML platforms, including:
ML development and runtime platforms
MLOps pipelines and CI/CD practices
Ensure scalable and efficient routes to production for AI models.
Governance & Risk Management
Lead technical governance frameworks, including:
Architecture standards and reusable components
Apply a data‑driven approach to risk identification and mitigation.
Ensure compliance with enterprise standards, guardrails, and auditability.
Innovation & External Landscape
Maintain an “always‑on” view of the AI ecosystem, including:
Third‑party platforms and tooling
Evaluate cost‑benefit trade‑offs of AI technologies and implementation approaches.
Identify low‑cost, fast‑start solutions to accelerate value delivery.
Collaboration & Stakeholder Management
Work closely with:
AI Engineering Lead
AI Labs (London & Barcelona)
Build architectural consensus across enterprise stakeholders.
Translate complex technical topics into clear insights for executive audiences.
Optimize internal adoption of AI products, treating colleagues as customers.
Reduce friction in discovery, onboarding, and usage of AI solutions.
Model and manage adoption costs and ROI.
Community & Culture
Foster a strong AI engineering community across the Group.
Partner with People & Culture to support AI Academy learning initiatives.
Promote a culture of continuous learning and improvement.
15+ years in enterprise software engineering within complex environments.
Proven experience providing hands‑on technical leadership across multiple teams.
Strong background in:
AI / Machine Learning solutions
ML engineering and MLOps
Cloud‑based architectures and platforms (AWS)
Experience with:
CI/CD pipelines for data science and ML
Third‑party AI platforms and tools
Designing scalable, reusable systems
Strategic and analytical mindset with strong business‑to‑technology translation skills
Ability to simplify complex technical topics for senior stakeholders
Excellent communication, leadership, and influencing skills
Strong focus on value delivery, ROI, and pragmatism
Forward‑thinking, innovative, and continuously curious
This position is Hybrid (2 per week to the office).
English is required (C1 level).
Why join this project?
