Senior AI / ML Architect

Automat-it is where high-growth startups turn when they need to move faster, scale smarter, and make the most of the cloud. As an AWS Premier Partner and Strategic Partner, we deliver hands-on DevOps, FinOps, and GenAI support that drives real results.

We work across EMEA, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech.

We’re looking for a Senior AI / ML Architect to help shape how our customers implement AI. In this role, you’ll design scalable, end-to-end ML solutions, from classical models to generative AI, and guide customers from concept to production. You’ll work closely with C-level leaders, data scientists, and engineers to deliver impactful, real-world AI outcomes.

Work location - hybrid from Madrid

If you are interested in this opportunity, please submit your CV in English.

Responsibilities Design and deliver end-to-end ML solutions, including classical ML, deep learning, and generative AI

Create technical proposals, reference architectures, and deployment plans

Lead workshops, POCs, and architecture reviews with startup customers

Translate business needs into scalable ML systems

Implement distributed training workflows and LLM serving infrastructure

Build MLOps pipelines for tracking, versioning, and monitoring

Provide technical guidance to customers and internal teams

Stay up to date on ML trends and contribute to internal enablement

Frequent travels - locally (on-demand to meet with customers and partners and attend local events) and abroad (at least once a quarter).

Requirements 7+ years in software engineering, data science, or ML roles

3+ years deploying ML solutions in production

Hands-on experience with AWS ML services (SageMaker, Bedrock, etc.)

Experience with distributed training (Horovod, Ray, etc.)

Proven work with generative AI and LLM applications

Strong Python and ML framework skills (PyTorch, TensorFlow, etc.)

Experience with MLOps practices and tools

Strong communication and customer-facing skills

Familiarity with Docker, Kubernetes, and Terraform – an advantage

AWS ML Specialty or Solutions Architect certification – an advantage

Experience with vector DBs, RAG systems, or edge ML – an advantage

Master’s degree in a relevant field – an advantage

Industry-specific experience (finance, healthcare, etc.) – an advantage

Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)

International work environment

Referral program – enjoy cooperation with your colleagues and get a bonus

Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)

Wellbeing and professional coaching

Country-specific benefits will be discussed during the hiring process.

Automat-it is committed to fostering a workplace that promotes equal opportunities for all. We firmly believe that cultivating a diverse workforce is crucial to our success. Our recruitment decisions are grounded in your experience and skills, recognizing the value you bring to our team.

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