Descripción de la oferta
Opportunity – Technical Lead La 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 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 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: Generative AI abstraction layers 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: Key Design Decision (KDD) processes 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: Generative AI models 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) CTO, CDIO, Cloud & Data Platform teams Build architectural consensus across enterprise stakeholders. Translate complex technical topics into clear insights for executive audiences . Adoption & Developer Experience 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 . Required Experience & Skills 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 Key Competencies 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). Travels every month to London. . Why join this project? People first – inclusive, diverse, and international culture. Work with cutting-edge technology on global-scale products. 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. Empowering People, Unlocking Innovation. xcskxlj 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.
