Senior Tech Lead

Opportunity –

Senior

Technical Lead

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.