Continental is looking for an AI Platform Engineer to operate and evolve its enterprise AI-powered document search and Q&A platform deployed on Azure.
Continental is a leading tire manufacturer and industry specialist, developing and producing sustainable, safe and convenient solutions for automotive manufacturers, industrial customers and end customers worldwide.
Founded in 1871, the company generated sales of €19.7 billion in 2025 and currently employs around 78,000 people in 54 countries and markets.
Role overview:
At Continental Tires, analytical excellence is an integral part of processes that create business value. Tire IT works with domain experts from business units to identify opportunities that can be supported and solved through Artificial Intelligence and Advanced Analytics.
As an AI Platform Engineer, you will work as part of a global Data Science team, contributing from the Data Science Hub in Portugal and collaborating closely with colleagues across the globe.
Main responsibilities:
Operate, monitor and continuously improve the enterprise AI platform across development, QA and production environments;
Maintain and extend the platform’s three containerized services: FastAPI backend, Streamlit frontend and APScheduler-based document processing worker;
Manage Azure infrastructure using Terraform, including App Service, Azure AI Search, Azure OpenAI deployments, Blob Storage, PostgreSQL, Redis and Key Vault;
Build and maintain CI/CD pipelines in GitHub Actions for automated container builds, infrastructure deployments, LLM evaluation runs and release management;
Onboard new AI use cases and workspaces by managing the datasource provisioning workflow from configuration to Azure resource creation;
Develop and operate document scraping and processing pipelines that ingest content from SharePoint, internal wikis and web portals into Azure AI Search;
Support LLM quality assurance by maintaining the automated evaluation pipeline and monitoring model behavior through observability tooling;
Collaborate with Data Scientists to integrate new models and agents into the platform’s agentic query pipeline.
Qualifications:
Bachelor’s degree in Computer Science, Information Technology, Data Science or similar studies;
Reliable team player with a structured and self-organized working style;
Minimum of 2 years of IT or industry experience in a DevOps, MLOps or platform engineering role;
Solid experience with Python application development;
Experience with containerization using Docker, including multi-stage build patterns and container image registries;
Experience with cloud platforms, preferably Microsoft Azure, including App Service, Blob Storage, AI Search, Azure OpenAI and Microsoft Foundry;
Good knowledge of Infrastructure as Code, preferably Terraform;
Good knowledge of CI/CD processes and hands-on experience with GitHub Actions or comparable tooling;
Strong communication skills and ability to work effectively with Data Scientists, business stakeholders and IT teams;
Proficient written and spoken English;
Experience working in a multinational company is a plus.
Offer:
Integration in a challenging and international work environment;
Flexible working model;
Collaborative working style;
Continuous opportunities for talent development and training;
Opportunity to make a difference.
Inclusion:
Continental is committed to fostering a workplace where everyone feels safe, respected and valued. All kinds of applications are welcome.
Ready to drive with Continental? Take the first step and submit your online application.
