Tech Lead - Capitole
hace 8 días
Barcelona
🔹 Opportunity – Technical Lead 🔹 📌 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., • Define the technical direction for AI/ML platforms, including:, • Generative AI abstraction layers, • ML development and runtime platforms, • MLOps pipelines and CI/CD practices, • 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., • 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., • Work closely with:, • AI Engineering Lead, • AI Labs (London & Barcelona), • CTO, CDIO, Cloud & Data Platform teams, • Build architectural consensus across enterprise stakeholders., • Optimize internal adoption of AI products, treating colleagues as customers., • Reduce friction in discovery, onboarding, and usage of AI solutions., • 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). 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. 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.