Senior AI Platform Engineer

Source Group International; Lisboa; On-site; EUR 90,000 - 130,000; Full time

Job summary

Source Group International is seeking a Senior AI Platform Engineer to help build and scale an AI-native enterprise platform. You’ll take AI from experimentation into scalable, secure and production-ready systems in Lisbon, Portugal.

You will design platform capabilities, automate model deployment pipelines, and partner with ML engineers to improve deployment reliability and observability across all AI services.

Qualifications

• Strong production ML/AI platform experience.
• Solid software engineering background with automation.
• Experience with cloud-native infrastructure and containers.
• Deep understanding of CI/CD and IaC.
• Knowledge of observability, logging, metrics and tracing.
• Understanding ML/AI lifecycle and deployment strategies.
• Experience working across ML, Platform, Data and Product teams.
• Strong troubleshooting for reliability and operational excellence.

Responsibilities

• Design and build platform capabilities for deploying AI systems.
• Develop automated pipelines for model deployment, packaging and testing.
• Build evaluation frameworks for quality, latency and cost.
• Implement observability across models and services.
• Partner with ML engineers to productionise models.
• Work with platform engineering on infrastructure, security and resilience.
• Support A/B testing, canary releases and progressive deployments.
• Automate operational processes to improve productivity.
• Contribute to agentic AI development and delivery practices.

Skills

production ML/AI platforms

software engineering

automation tooling

cloud-native infrastructure

CI/CD

observability

ML/AI lifecycle

cross-functional collaboration

Job description

We are looking for a Senior AI Platform Engineer to help build and scale an AI-native enterprise platform where machine learning models, retrieval systems, AI agents, and intelligent applications operate as reliable production services.

This is a hands-on senior engineering role focused on taking AI from experimentation into scalable, secure, observable, and production-ready systems.

What you’ll do

• Design and build platform capabilities for deploying and operating production AI systems
• Develop automated pipelines for model deployment, packaging, versioning, testing, rollout and rollback
• Build evaluation frameworks covering model quality, retrieval performance, latency, cost and business outcomes
• Implement observability across models, inference services, retrieval pipelines and AI agents
• Partner with ML Engineers to productionise models and improve deployment reliability
• Work with Platform Engineering on infrastructure, scaling, security and resilience
• Support A/B testing, canary releases and progressive deployments
• Implement governance around reproducibility, versioning, auditability and compliance
• Automate operational processes and improve engineering productivity
• Contribute to modern agentic AI development and delivery practices

What we’re looking for

• Strong experience operating production ML or AI platforms
• Solid software engineering background with experience in automation and operational tooling
• Experience with cloud-native infrastructure, containers and distributed systems
• Deep understanding of CI/CD, Infrastructure as Code and release automation
• Strong knowledge of observability, monitoring, logging, metrics and tracing
• Understanding of the ML/AI lifecycle, deployment strategies and production evaluation
• Experience working across ML, Platform, Data and Product Engineering teams
• Strong troubleshooting skills with a focus on reliability and operational excellence
• Ability to simplify complex environments through automation and reusable platform capabilities

Ideal background

MLOps / AI Platform Engineering / Cloud Platform Engineering / DevOps for ML / AI Infrastructure

If you have experience building the infrastructure that takes AI and ML systems into reliable enterprise production, I’d be happy to hear from you.

We believe in equal opportunity for all and actively encourage applications from diverse backgrounds, experiences, and perspectives.