Descripción de la oferta
Opportunity –Technical LeadLa experiencia que se espera de los solicitantes, así como las habilidades y cualificaciones adicionales necesarias para este trabajo, se enumeran a continuación.
About the role
We are looking for aTech Lead / Lead Engineerto provide technical leadership and strategic direction forAI 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 balancingcost, 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 drivetechnical strategy and architecturefor AI/ML solutions.
Lead the design ofreusable AI productsadopted across multiple business units.
Providehands-on technical leadershipacross multiple squads, ensuring consistency and quality.
Develop and evolvetechnical blueprints, enabling early value delivery and industrialization of AI products.
Simplify complexity inmulti-tenant environments, ensuring seamless cross-company integration.
AI / ML Platform Ownership
Define the technical direction forAI/ML platforms, including:
Generative AI abstraction layers
ML development and runtime platforms
MLOps pipelines and CI/CD practices
Ensure scalable and efficientroutes to productionfor AI models.
Governance & Risk Management
Leadtechnical governance frameworks, including:
Key Design Decision (KDD) processes
Architecture standards and reusable components
Apply adata-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:
Generative AI models
Third-party platforms and tooling
Evaluatecost-benefit trade-offsof AI technologies and implementation approaches.
Identifylow-cost, fast-start solutionsto accelerate value delivery.
Collaboration & Stakeholder Management
Work closely with:
AI Engineering Lead
AI Labs (London & Barcelona)
CTO, CDIO, Cloud & Data Platform teams
Buildarchitectural consensusacross enterprise stakeholders.
Translate complex technical topics intoclear insights for executive audiences.
Adoption & Developer Experience
Optimizeinternal adoption of AI products, treating colleagues as customers.
Reduce friction indiscovery, onboarding, and usage of AI solutions.
Model and manageadoption costs and ROI.
Community & Culture
Foster a strongAI engineering communityacross the Group.
Partner with People & Culture to supportAI Academy learning initiatives.
Promote a culture ofcontinuous learning and improvement.
Required Experience & Skills
15+ yearsin enterprise software engineering within complex environments.
Proven experience providinghands-on technical leadershipacross 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
Key Competencies
Strategic and analytical mindset with strongbusiness-to-technology translation skills
Ability tosimplify complex technical topicsfor senior stakeholders
Excellentcommunication, leadership, and influencing skills
Strong focus onvalue 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.
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Why join this project?
People first– inclusive, diverse, and international culture.
Work withcutting-edge technologyon global-scale products.
Clear opportunities forcareer progressionand 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.
Empowering People, Unlocking Innovation. xiphteb
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.
