Descripción de la oferta
About the role
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.
Key Responsibilities
Technical Leadership & Architecture
Define and drive technical strategy and architecture for AI / ML solutions.
Lead the design of solutions 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 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.
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.
Collaboration & Stakeholder Management
Work closely with: AI Engineering Lead AI Labs (London & Barcelona)
Build relationships across enterprise stakeholders.
Translate complex technical topics into actionable insights.
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 community across the Group.
Partner with People & Culture to support AI Academy learning initiatives.
Promote a culture of continuous learning and improvement.
Required Experience & Skills
15+ years in enterprise software engineering within complex environments.
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.
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).
Travels every month to London.
Why join this project?
People first inclusive, diverse, and international culture.
Work with cutting‑edge technology.
Clear opportunities for career progression and continuous development.
Collaborative teams with a strong sense of belonging.
Access to learning resources and development programs.
Competitive compensation.
Private health insurance & benefits (according to region).
Flexible working environment and hybrid model.
Wellness and mental‑health initiatives.
Team‑building activities and global community events.
Want to know more about us? Click here and discover all the details.
Find out what people are saying about us on Glassdoor Reviews.
We know that not every candidate will meet 100% of the requirements. If your profile doesn’t match perfectly but you believe you can add value, we would still love to hear from you!
Ready for the challenge? Apply now and be part of a global digital leader driving innovation and transformation.
The employee will adhere to information security policies
Will have access to confidential information related to Capitole and the project they are working on.
Must comply with the security policies and internal policies of the company and the client.
Must sign an NDA.
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