AI platform engineer for procurement

Stefanini EMEA; Lisboa; On-site; EUR 75,000 - 120,000; Full time

Benefits offered by this job

Private health insurance

Career development: opportunity toGrow

Special referral bonuses

Friendly team

Job summary

Stefanini EMEA is seeking a Senior AI Platform Engineer to design, build and operate scalable AI platforms, pipelines and governance in production across ML models and agents. You will collaborate across ML, Platform Eng and Product teams to advance automation, observability, release strategies, and reliability.

The role emphasizes security, cost-efficiency and continuous improvement in a dynamic cloud-native environment.

Qualifications

• Experience operating production machine learning or AI platforms.
• Software engineering skills with automation and deployment pipelines.
• Exposure to cloud-native infrastructure, container platforms, and distributed systems.
• Deep understanding of CI/CD, IaC, release automation, and production operations.
• Strong observability across complex distributed applications.
• Understanding of model lifecycle management and production evaluation.
• Cross-functional collaboration with Platform Engineering, ML, Product, and Data teams.
• Analytical troubleshooting with focus on reliability and continuous improvement.
• Ability to simplify complexity via automation and reusable platform capabilities.

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 for 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, versioning, auditability, and compliance.
• Drive automation across operational activities to increase productivity and deployment confidence.
• Contribute to ASDLC by embedding evaluation, automation, and operational intelligence into AI delivery.

Skills

Production ML platforms

Automation pipelines

Observability

CI/CD

Infrastructure as code

Distributed systems

Troubleshooting

Reliability engineering

Collaboration across teams

Cost optimization

Tools

Kubernetes

Docker

Terraform

AWS/Azure/GCP

CI/CD tools

Job description

Описание

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.

Задачи

• 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.

Требования

• 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.

Условия

• 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