Capitole Consulting keeps growing and we want to grow with you
We are looking for an

AI/ML Tech Lead , capable of defining and scaling enterprise-level technology solutions in a highly complex, general environment. You’ll play a key role in shaping the

architecture ,

strategy , and

engineering standards

for reusable

AI products, ML platforms,

and

data-driven solutions

used across multiple business domains.
Define and lead the

technical architecture , roadmap, and engineering standards for AI/ML platforms.
Oversee

end-to-end ML engineering lifecycle : development, automation, deployment, monitoring, and governance.
Collaborate with

Data Science, Product, Engineering,

and

Platform teams

to align technology with business goals.
Build

scalable, reusable components

and

frameworks

that accelerate

AI adoption

across teams.
Evaluate

technical risks, model costs,

and drive

long-term technology decisions .
Communicate

complex concepts

clearly to executives and

influence strategic decisions .
Participate in

cross-team technical communities ,



fostering

knowledge sharing

and

continuous improvement .
Strong

technical background as a software engineer , with a

recent transition into a Tech Lead / Engineering Manager role

within AI-enabled or ML-driven environments.
Proven experience working in

Agile environments , assuming responsibilities similar to a

technical project manager

(planning, prioritisation, coordination and delivery oversight).
Demonstrated experience

leading large engineering teams , beyond small squads.
Solid expertise in

ML engineering foundations , including

Python , AI platforms,

MLOps ,

CI/CD pipelines , and

cloud deployments

( AWS preferred ).
Strong understanding of

data and ML architecture , including pipelines, automation, and

end-to-end model lifecycle management .
Ability to

simplify complex technical concepts , propose pragmatic solutions, and drive alignment across

technical and non-technical stakeholders .

📌 AI/ML Tech Lead (Madrid)
🏢 Capitole
📍 Madrid