Descripción de la oferta
Opportunity – Senior Technical Lead
Descripción del trabajo
About the role
We are looking for a Senior Tech Lead / Lead Engineer to provide technical leadership and strategic direction for AI and Machine Learning solutions within the IMS (Maintenance, Repair and Overhaul Services) domain.
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.
Main Responsabilities
Lead the technical architecture and technology strategy for AI / ML solutions, balancing cost, risk, time-to-value and long-term scalability.
Provide strong architectural input into the design of reusable, enterprise-grade AI products that can be adopted across multiple business units within the IMS domain.
Identify, articulate and mitigate technical risks using a structured, data-driven approach.
Define and evolve technical blueprints that support early discovery, accelerated value delivery, and progression to fully industrialised AI products.
Simplify the complexity of multi-tenant environments by building reusable AI products that operate seamlessly across multiple operating companies.
Act as a hands‑on technical authority, guiding multiple squads to deliver consistent, robust and well‑architected solutions.
Define and enforce technical governance, including architectural decision‑making processes (e.g. Key Design Decisions), ensuring auditability and alignment with enterprise standards, guardrails and design patterns.
Set the technical direction for AI and ML platforms, including lightweight generative AI abstraction layers, routes to production and runtime ML platforms.
Continuously assess the external AI and generative model landscape, modelling cost, benefits and implementation trade‑offs.
Work closely with engineering leaders and squad tech leads across distributed locations (Barcelona and London) to build an aligned, pragmatic and high‑performing engineering community.
Treat internal teams as customers, continuously reducing the effort required to discover, adopt and scale AI‑powered products.
Technical skills
15+ years of experience in enterprise software engineering within complex environments.
Proven ability to provide deep, hands‑on technical leadership across multiple squads.
Strong experience delivering AI and ML platforms, tools or products.
Solid understanding of modern ML engineering, MLOps, CI / CD pipelines and routes to production, including third‑party platforms.
Ability to communicate complex technical concepts clearly to senior, time‑poor stakeholders.
Strategic, analytical mindset with the ability to translate business problems into technical solutions.
Excellent leadership, communication and interpersonal skills.
Enthusiastic, forward‑looking and pragmatic approach.
Willingness to be on‑site in Barcelona and travel to London when required.
Experience in the airline or aviation industry is a plus.
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.
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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.
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