Senior AI Platform Engineer

Stefanini EMEA; Lisboa; On-site; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Private health insurance

Career development opportunities

Referral bonuses

Friendly team

Job summary

Stefanini EMEA is hiring a Senior AI Platform Engineer to join a Lisbon-based client. This onsite role focuses on building scalable AI production platforms, automation, and observability to deploy and operate AI solutions in production.

The position emphasizes automation, deployment pipelines, and governance, with collaboration across ML, Platform, and Data teams to ensure reliable, scalable AI delivery.

Qualifications

• Experience operating production ML or AI platforms.
• Experience building automation, deployment pipelines, and operational tooling.
• Experience with cloud-native infrastructure, container platforms, and distributed systems.
• Deep understanding of CI/CD, infrastructure as code, release automation, and production operations.
• Strong capability implementing observability across complex distributed applications.
• Understanding of model lifecycle management, deployment strategies, experimentation, and production evaluation.
• Track record collaborating across Platform Eng., ML, Product Eng., and Data Eng. teams.
• Analytical and troubleshooting skills with reliability and operational excellence.

Responsibilities

• Design, build, and enhance platform capabilities to deploy and operate AI systems in production.
• Develop automated pipelines for model packaging, deployment, versioning, testing, rollout, rollback, and lifecycle management.
• Build evaluation frameworks measuring model quality, retrieval effectiveness, latency, cost, and business impact.
• Implement monitoring and observability for models, inference services, retrieval pipelines, and AI agents.
• Partner with ML Engineers to transition models from experimentation to production.
• Collaborate with Platform Engineering to improve infrastructure, scalability, security, reliability, and resilience.
• Develop deployment strategies supporting experimentation, canary releases, A/B testing, progressive rollouts.
• Implement governance controls for reproducibility, version management, auditability, and compliance.
• Drive automation across operational activities to boost engineering productivity and deployment confidence.
• Contribute to ASDLC by embedding evaluation, automation, and operational intelligence into AI delivery processes.

Skills

Production ML

AI platforms

Automation

CI/CD

Cloud-native infra

Container platforms

Distributed systems

Observability

Model lifecycle

Deployment strategies

Experimentation

Production operations

Cross-team collaboration

Troubleshooting

Automation across ops

Tools

Kubernetes

Docker

Terraform

CI/CD tools

Job description

Stefanini is hiring a Senior AI Platform Engineer to join one of our Portugal-based clients in Lisbon.

• Work model: onsite in Lisbon;

Scope

This client is building an AI-native procurement platform where machine learning models, retrieval systems, and AI agents operate at enterprise scale. As a Senior AI Platform Engineer, you will build the platforms, automation, and operational capabilities that enable AI solutions to be deployed, monitored, and continuously improved in production. At the intersection of AI, cloud infrastructure, and software engineering, you will help ensure AI capabilities remain scalable, secure, reliable, and operationally robust. This is a hands-on engineering role focused on turning AI innovation into production-ready solutions through automation, observability, and operational excellence.

Role Responsibilities

• Design, build, and enhance the platform capabilities required to deploy and operate AI systems in production.
• Develop automated pipelines for model packaging, deployment, versioning, testing, rollout, rollback, and lifecycle management.
• Build evaluation frameworks that measure model quality, retrieval effectiveness, latency, cost, and business impact.
• Implement monitoring and observability for models, inference services, retrieval pipelines, and AI agents using metrics, logging, tracing, and operational telemetry.
• Partner with Machine Learning Engineers to successfully transition models from experimentation to production.
• Collaborate with Platform Engineering to improve infrastructure, scalability, security, reliability, and operational resilience.
• Develop deployment strategies that support experimentation, canary releases, A/B testing, and progressive rollouts.
• Implement governance controls that ensure reproducibility, version management, auditability, and operational compliance.
• Drive automation across operational activities to increase engineering productivity and deployment confidence.
• Contribute to the evolution of the Agentic Software Development Lifecycle (ASDLC) by embedding evaluation, automation, and operational intelligence into AI delivery processes.

Role Requirements

• Experience operating production machine learning or AI platforms.
• Software engineering skills with experience building automation, deployment pipelines, and operational tooling.
• Exposure to cloud-native infrastructure, container platforms, and distributed systems.
• Deep understanding of CI/CD, infrastructure as code, release automation, and production operations.
• Strong capability implementing observability across complex distributed applications.
• Understanding of model lifecycle management, deployment strategies, experimentation, and production evaluation.
• Track record collaborating across Platform Engineering, Machine Learning, Product Engineering, and Data Engineering teams.
• Analytical and troubleshooting skills with a focus on reliability, operational excellence, and continuous improvement.
• Ability to simplify operational complexity through automation and reusable platform capabilities.

The preceding job description had been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties and responsibilities required of employees assigned to this job.

What we offer:

You will find here not only a challenging and interesting workplace, but also a rewarding work experience, with competitive compensation and benefit packages:

• Private health insurance;
• Career development: opportunity to grow within the team;
• Special referral bonuses for recommending your friends;
• Friendly team who is eager to meet you;

Diversity & Inclusion

Here at the Stefanini Group, we value plurality and equity, regardless of race, sexual orientation, disability, age, ancestry, religion, gender, and nationality. We understand and encourage the importance of being you!

About us

We are the Stefanini group, a global tech consulting company of Brazilian origin that believes in the power of people to transform businesses through technology.

We are present in over 40 countries and operate with the purpose of co-creating solutions together with our clients, that accelerate results and improve the experience of people and organizations.

Here, we like to say that technology is not the end, but the means: what really matters are the people who drive it all.

Our mindset is AI First, meaning we invest in cutting-edge technology in everything we do, focusing on results for our clients.

We are a company, a group, that breathes collaboration and offers a dynamic environment where you will learn by doing, grow alongside the team, and have space to contribute with ideas and projects.

More than just talking about digital transformation, we believe in real transformation that starts with people and impacts real businesses.

If you are looking for a place to develop, innovate, and be part of something bigger, the Stefanini Group is your place.