AI Data Automation Engineer

Albers Aerospace was founded on the principles of Integrity, Commitment, & Excellence – principles tested during the founders’ time in the military – Albers Aerospace is a coalition of business units and related entities operating with the goal of delivering industry leading products and services while endeavoring to make our employee’s lives better.

Growing rapidly (ranked numerous times in the Aggie 100), we have established ourselves as the company to solve problems, be a partner with, and make things happen. We are laser focused on solving problems and doing it in an “out of the box” manner. We love helping our clients and our teammates be all that they were made to be. We are passionate and aggressive about getting things done!

Job Summary:

The AI-Data Automation Engineer will build automation and AI capabilities in support of various engineering processes. Resource must be U.S. citizen and able to obtain a security clearance. The position is preferred to be on-site in Evandale, OH, but may be supported offsite with some travel. This is a technically focused role emphasizing software development, scripting, and systems integration and outcomes will include production-ready software tools, automated workflows, and comprehensive technical documentation. However, supporting engineering through development and adoption will also be key responsibilities.

This position will be highly collaborative with daily interface with other Albers team members as well as engineers from our customer company. This is an on-site position embedded at our customer’s Evendale, OH facility. You will develop new data automation solutions, produce user documentation, and assist in developing and presenting user training. You will work closely with Model-Based Systems Engineers in the military jet engine design and manufacturing domain.

Duties/Responsibilities:

• Design, develop, and deploy automation and AI tools using cutting-edge technologies in a fast-paced, agile environment
• Write high-quality, maintainable code that meets standards and delivers desired functionality using Python, Java, C++, or other relevant languages
• Build and test integration/automation tools, working with business teams to ensure functional requirements are met
• Apply principles of SDLC, Lean/Agile methodologies, CI/CD, and testing techniques to establish robust development pipelines
• Work with IA and DT teams as necessary to deploy tools in classified spaces
• Integrate with engineering toolchains (Teamcenter, NX, Cameo, Ansys, etc.) through APIs and data structures
• Develop data integration solutions, working with various data sources, databases, and APIs
• Balance delivery speed, quality, and sustainability of tools to support business outcomes at business pace