Generative Artificial Intelligence Engineer

Covestro - Pittsburgh, PA

Full-time - Mid Level

Pittsburgh, PA

10,001+ employees

Merchant Wholesalers, Durable Goods

About the position

The Generative Artificial Intelligence (GenAI) Engineer at Covestro is responsible for developing innovative Generative AI solutions that leverage cutting-edge technologies and methodologies. This role encompasses the entire lifecycle of generative AI products, from ideation and prototyping to production deployment and operational support, ultimately aiming to deliver measurable economic benefits to the company.

Responsibilities

• Implement generative AI use cases that bring measurable economic benefit to Covestro by designing and implementing suitable generative AI solution architectures, including software design and Cloud architectures.
• Work on use cases throughout the entire lifecycle of generative AI products, such as development and implementation of prototypes, minimum viable products (MVP) as well as in supporting the products in the operational phase.
• Select and evaluate proposals from external solution providers and consulting companies in terms of their effectiveness and usefulness.
• Join and contribute to internal communities of practice to shape the generative AI tech-stack of Covestro.

Requirements

• Bachelor's degree in Computer Science, Data Science, or a related field with 6+ years' experience; OR Master's degree with 4+ years' experience; OR PhD with 2+ years' experience.
• At least 4 years of experience with at least one software development language and Cloud technologies (preferably AWS).

Nice-to-haves

• Experience with generative AI frameworks, runtimes, and foundational models like RAG, Amazon Bedrock, Azure OpenAI, Vector Databases, and LangChain.
• Experience in a programming language like Python or TypeScript.
• Knowledge about AWS Serverless technologies like Lambda, DynamoDB, SNS, and SQS.
• Knowledge about Infrastructure as Code (CDK, CloudFormation, etc.).
• Ability to present and effectively communicate to colleagues from different departments and levels.
• Ability to work in a dynamic and fast-paced working environment.
• Project and product management experience.