Descripción de la oferta
We are looking for a Senior Tech Lead / Lead Engineer to provide technical leadership and strategic direction for AI and Machine Learning solutions.
Responsibilities
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.
Benefits
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 programmes.
Private health insurance and benefits (according to region).
Flexible working environment and hybrid model.
Wellness and mental‑health initiatives.
Team‑building activities and global community events.
Additional Responsibilities
Adhere to information security policies.
Have access to confidential information related to the project.
Must comply with the security and internal policies of the company.
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