aimlroles

Senior AI Platform Engineer

Chain IQ Group chainiq.com Open · verified Oct 22, 2026
Lisbon Senior ML Platform & Ops

At a glance

Senior ML Platform & Ops role at Chain IQ Group. Lisbon.

Pay not stated AI Platform Engineer salary

RoleML Platform & Ops
SenioritySenior
LocationLisbon
PostedSep 19, 2026 · 4w ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Build and improve the platform used to run AI systems in production
  • Automate model packaging, releases, testing, version changes and lifecycle tasks
  • Create evaluations for model quality, retrieval results, speed, cost and business value
  • Track models, inference services, retrieval workflows and AI agents through logs, metrics and tracing
  • Set up rollout approaches, governance checks and operational automation for dependable AI delivery

What you bring

  • You have operated machine learning or AI platforms in production
  • You can build software automation, release pipelines and tools for operational work
  • You understand CI/CD, infrastructure as code, release automation and production operations
  • You have implemented observability for complex distributed applications

Who this fits

This is a senior, hands-on engineering role for someone focused on reliability and automation. You’ll work across machine learning, platform, product and data engineering teams, helping move models from experimentation into production.

From the employer

At Chain IQ, your ideas move fast.

Chain IQ is a global AI-driven Procurement Service Partner, headquartered in Baar, Switzerland, with operations across main centers and 16 offices worldwide. We provide tailored, end-to-end procurement solutions that enable transformation, drive scalability, and deliver substantial reductions in our clients' indirect spend. Our culture is built on innovation, entrepreneurship, ownership, and impact. Here, your voice matters - bold thinking is encouraged, and action follows ambition.

Role Purpose

We are building an AI-native procurement platform where machine learning models, retrieval systems, AI agents, and intelligent applications deliver real business value at scale. As a Senior AI Platform Engineer, you will play a key role in transforming AI innovations into reliable, secure, and production-ready solutions. You will build the platforms, automation, and operational capabilities that enable AI systems to be deployed, monitored, evaluated, and continuously improved across the organization.

Working closely with Machine Learning, Platform, Product, and Data Engineering teams, you will help create the foundation that allows AI products to scale with confidence, ensuring high standards of performance, resilience, and operational excellence.

This is a hands-on engineering role suited to someone who enjoys solving complex technical challenges, improving reliability through automation, and building the infrastructure that powers next-generation AI solutions.

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.

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.

Join a truly global team.

We offer a dynamic and international environment where high performance meets real purpose. We're proud to be Great Place to Work-certified and even prouder of the people who make that possible. Let’s shape the future of procurement - together.

Chain IQ – Create. Lead. Make an impact.

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