Senior Artificial Intelligence Engineer

Covestro AG; Baytown (TX); On-site; USD 140,000 - 200,000; Full time

Job summary

Covestro AG is seeking a Senior AI Engineer to design, develop, and deploy AI/ML solutions across the organization, bridging theory and production-ready applications. You will collaborate with data science teams to turn innovative concepts into enterprise-grade AI systems driving Covestro's digital transformation.

The role emphasizes building scalable AI solutions, robust data pipelines, and cross-functional partnerships to align AI initiatives with business needs, while enabling data-driven

Qualifications

• 7+ years of experience in AI/ML engineering with production AI systems.
• Experience with modern AI frameworks.
• Strong containerization and cloud platform knowledge.
• Proficiency in Python; other languages advantageous.

Responsibilities

• Design, develop, and deploy AI/ML models into production.
• Design and implement MLOps and AIOps pipelines for model lifecycle management.
• Create monitoring to detect model drift and automate retraining.

Skills

AI/ML engineering

Python programming

Communication

Problem solving

Cloud platforms

Education

Bachelor's degree in CS/SE

Master's degree in CS/SE

PhD in CS/SE

Tools

Docker

Kubernetes

ETL/DBMS

Job description

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 Responsibilities

• AI Solution Development & Integration Engineer and deploy AI and machine learning models into production environments
• Design and implement comprehensive MLOps and AIOps pipelines for model lifecycle management
• Create monitoring systems to detect model drift and implement automated retraining mechanisms
• Infrastructure & Architecture Architect scalable AI solutions leveraging cloud and edge computing technologies
• Develop and maintain microservice architectures supporting AI deployments
• Implement data pipelines to support training and inference needs across diverse data types
• Collaboration & Innovation Partner with data scientists and Generative AI Engineers to optimize model performance and deployment efficiency
• Work cross-functionally with business stakeholders to align AI solutions with business needs
• Evaluate and incorporate emerging AI technologies to maintain competitive advantage
• Business Impact Drive business value by successfully integrating AI capabilities into Covestro's core processes
• Accelerate digital transformation through automated, intelligent solutions that enhance efficiency and innovation
• Enable data-driven decision making by making AI accessible and reliable for business users

Basic Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or related technical field with 7+ years’ experience;
• OR Master's degree in Computer Science, Software Engineering, or related technical field with 5+ years experience;
• OR PhD with 3+ years experience
• 3+ years of experience in AI/ML engineering, with demonstrated success in production AI systems
• Experience with modern AI frameworks
• Knowledge and Skills Strong expertise in containerization and cloud platforms
• Proficiency with data processing technologies) and database systems
• Programming expertise in Python and familiarity with other languages
• Strong problem-solving skills and ability to translate business requirements into technical solutions
• Excellent communication skills with ability to explain complex technical concepts to diverse audiences
• Adaptability to work in a fast-paced environment with evolving technologies and requirements
• Willingness to travel occasionally for collaboration purposes

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.