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Senior AI Platform Engineer
chainiqgro
Source: Headcount Labs · original listing ↗
Job data: Headcount Labs, ODbL 1.0. Job descriptions belong to their employers.
Posted Oct 15
About this role
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, 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. 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. Information for agencies: Applications sent or uploaded by placement agencies or similar are not desired, will therefore not be considered and will be deleted.