Senior Artificial Intelligence Engineer

Covestro; Baytown (TX); On-site; USD 140,000 - 180,000; Full time

Job summary

Covestro in Baytown, TX is seeking a Senior AI Engineer who designs, builds, and deploys enterprise AI solutions. You will bridge research and production, transforming concepts into scalable, reliable applications that deliver business value.

Collaborating with data scientists and engineers, you will implement ML pipelines, monitor models for drift, and drive Covestro's digital transformation across domains.

Qualifications

• 7+ years in related field
• 3+ years production AI systems
• Experience with modern AI frameworks

Responsibilities

• Engineer and deploy AI/ML models into production environments
• Design and implement MLOps and AIOps pipelines for model lifecycle management
• Create monitoring systems to detect model drift and implement automated retraining mechanisms
• Architect scalable AI solutions leveraging cloud and edge computing technologies

Skills

Python

Containerization

Cloud platforms

AI/ML engineering

Model deployment

Data processing

Education

Bachelor's degree in CS/SE

Master's degree in CS/SE

PhD in CS/SE

Tools

Docker

Kubernetes

TensorFlow

PyTorch

Job description

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.