Senior Artificial Intelligence Engineer

We are Covestro. We are curious. We are courageous. We are colorful. We refine chemical material solutions with game-changing products. Let us empower you to push boundaries. Join us and our 18,000 colleagues now and together we will make the world a brighter place.The Senior Artificial Intelligence (AI) Engineer designs, develops, and deploys artificial intelligence solutions across the organization. This role bridges the gap between theoretical AI/ML models and production-ready applications, ensuring scalability, reliability, and business value. Working closely with data science teams, the Senior AI Engineer transforms innovative concepts into robust, enterprise-grade AI systems that drive Covestro's digital transformation.Major Tasks and ResponsibilitiesAI Solution Development & IntegrationEngineer and deploy AI and machine learning models into production environmentsDesign and implement comprehensive MLOps and AIOps pipelines for model lifecycle managementCreate monitoring systems to detect model drift and implement automated retraining mechanismsInfrastructure & ArchitectureArchitect scalable AI solutions leveraging cloud and edge computing technologiesDevelop and maintain microservice architectures supporting AI deploymentsImplement data pipelines to support training and inference needs across diverse data typesCollaboration & InnovationPartner with data scientists and Generative AI Engineers to optimize model performance and deployment efficiencyWork cross-functionally with business stakeholders to align AI solutions with business needsEvaluate and incorporate emerging AI technologies to maintain competitive advantageBusiness ImpactDrive business value by successfully integrating AI capabilities into Covestro's core processes Accelerate digital transformation through automated, intelligent solutions that enhance efficiency and innovationEnable data-driven decision making by making AI accessible and reliable for business usersBasic QualificationsBachelor's degree in Computer Science, Software Engineering, or related technical field with 7+ years’ experience; OR Master's degree in in Computer Science, Software Engineering, or related technical field with 5+ years experience; OR PhD with 3+ years experience3+ years of experience in AI/ML engineering, with demonstrated success in production AI systemsExperience with modern AI frameworksKnowledge and SkillsStrong expertise in containerization and cloud platformsProficiency with data processing technologies) and database systemsProgramming expertise in Python and familiarity with other languagesStrong problem-solving skills and ability to translate business requirements into technical solutionsExcellent communication skills with ability to explain complex technical concepts to diverse audiencesAdaptability to work in a fast-paced environment with evolving technologies and requirementsWillingness to travel occasionally for collaboration purposes#LI-JV1#LI-HybridYOUR APPLICATIONAre you as curious, courageous and colorful as we are? If so, we can offer you an exciting career opportunity. We look forward to receiving your application and resume. Become part of our team - apply now!Equal Employment Opportunity: Hiring and advancement are based on job-related requirements and on an individual's qualifications to perform a job. All aspects of employment are carried out free of discrimination or harassment based on race, color, religion, sex (including pregnancy), national origin, age, disabilities, genetic information, veteran status, sexual orientation, gender identity/gender expression or any unlawful criterion, existing under applicable federal, state, or local law.Contact UsInfo-Hotline: +1 844-522-6775If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access this site as a result of your disability. To make a request, please call View phone number on click.appcast.io.SummaryLocation: Baytown, TX; Pittsburgh, PAType: Full time