Senior Ai Platform Engineer

Chain Iq Group Ag; Viseu; Presencial; EUR 70 000 - 110 000; Tempo integral

Resumo da oferta

Chain IQ in Portugal is building an AI-native procurement platform and this senior role ensures deployment, monitoring, and reliability of AI services at scale.

You will collaborate with Machine Learning, Platform Engineering, Product Engineering, and Data Engineering to keep capabilities scalable, secure, and observable, driving continuous improvement and operational excellence. We are seeking a hands-on engineer who can shape deployment strategies and governance.

Qualificações

• Experience operating production machine learning or AI platforms.
• Software engineering skills with automation, deployment tooling, and operational capabilities.
• Exposure to cloud-native infrastructure and distributed systems.
• Strong understanding of CI/CD, infrastructure as code, release automation, and production operations.
• Ability to implement observability across complex distributed applications.
• Proven track record collaborating across Platform Engineering, ML, Product Engineering, and Data Engineering teams.

Responsabilidades

• Design, build, and maintain the platform capabilities required to deploy and operate production AI systems.
• 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 performance.
• Implement monitoring for models, inference services, retrieval pipelines, and AI agents using metrics, logging, tracing, and telemetry.
• Partner with ML Engineers to productionize models and improve deployment reliability.
• Collaborate with Platform Engineering to optimise runtime environments, infrastructure, scaling, security, and resilience.
• Develop deployment strategies supporting experimentation, canary releases, A/B testing, and progressive rollouts.
• Implement governance controls for reproducibility, versioning, auditability, and compliance.
• Automate repetitive operational activities to improve productivity and confidence.
• Contribute to ASDLC by embedding evaluation, automation, and operational intelligence into AI delivery processes.

Conhecimentos

AI/ML platform operations

Cloud-native infrastructure

Automation & deployment pipelines

Observability & reliability

Collaboration across teams

Ferramentas

CI/CD

Infrastructure as Code

Container platforms

Descrição da oferta de emprego

Descrição do cargo

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 operate as production services. This role is responsible for ensuring those capabilities can be deployed, monitored, evaluated, and continuously improved at enterprise scale.

You will build the engineering capabilities that take AI from experimentation into reliable production systems. This includes model deployment, inference infrastructure, evaluation pipelines, observability, versioning, performance monitoring, and automation across the AI lifecycle. You will work closely with Machine Learning, Platform Engineering, Product Engineering, and Data Engineering to ensure AI capabilities remain scalable, secure, and operationally robust.

This is a senior engineering role requiring strong software engineering, cloud platform, and operational experience combined with practical knowledge of modern AI deployment practices.

Why this role matters

Reliable AI products require more than high-performing models. They depend on robust platforms that support continuous deployment, evaluation, monitoring, and improvement throughout the AI lifecycle.

This role is critical in ensuring AI capabilities are delivered with the same reliability, scalability, and engineering discipline as the broader technology platform, enabling teams to innovate quickly while maintaining quality, resilience, and trust in production environments.

Responsibilities

• Design, build, and maintain the platform capabilities required to deploy and operate production AI systems.
• Develop automated pipelines for model packaging, deployment, versioning, testing, rollout, rollback, and lifecycle management.
• Build evaluation frameworks that continuously measure model quality, retrieval effectiveness, latency, cost, and business performance.
• Implement monitoring for models, inference services, retrieval pipelines, and AI agents using metrics, logging, tracing, and operational telemetry.
• Partner with Machine Learning Engineers to productionize models and improve deployment reliability.
• Collaborate with Platform Engineering to optimise runtime environments, infrastructure, scaling, security, and operational resilience.
• Develop deployment strategies supporting experimentation, canary releases, A/B testing, and progressive rollouts.
• Implement governance controls supporting reproducibility, version management, auditability, and operational compliance.
• Automate repetitive operational activities wherever possible, improving 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.