{"id":1046666,"url":"https://alion.io/job/albers-aero-ai-data-automation-engineer","title":"AI Data Automation Engineer","company":{"id":668815,"name":"Albers Aerospace","domain":"albers.aero","url":"https://alion.io/company/albers-2","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Rippling","truth_index":{"grade":"A","score":93,"open_postings":30,"ghost_share":0,"stale_share":0.1,"repost_share":0,"time_to_fill_p50_days":66,"computed_at":"2026-10-25T05:49:26Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cincinnati, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":88000,"max_usd":195000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":370},"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"ANSYS","optional":false},{"name":"AWS","optional":false},{"name":"C++","optional":false},{"name":"Cameo Systems Modeler","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Unix","optional":false},{"name":"Windows","optional":false},{"name":"PyTorch","optional":true},{"name":"Rest API","optional":true},{"name":"Scikit-learn","optional":true},{"name":"TensorFlow","optional":true},{"name":"TensorFlow C++","optional":true}],"status":"live","first_seen_at":"2026-09-18T14:43:31Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-10-26T02:16:24Z","board_verified":true,"closed_at":null,"days_open":37,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":36},"description":"Our core competencies include systems engineering, program management, logistics, production support, aircraft maintenance, and aviation/aerospace services. We were founded in 2015 and since our establishment, we have been attracting the best talent in our fields of interest enabling us to provide cutting-edge solutions and support to our warfighters. We understand and provide expert consultation on weapons systems acquisition programs, maintenance/modernization programs, and sustainment programs. We know defense and we know aircraft systems.\nAlbers 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.\nGrowing 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!\n\nJob Summary:\nThe 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.\nThis 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.\n\nDuties/Responsibilities:\nDesign, develop, and deploy automation and AI tools using cutting-edge technologies in a fast-paced, agile environment\nWrite high-quality, maintainable code that meets standards and delivers desired functionality using Python, Java, C++, or other relevant languages\nBuild and test integration/automation tools, working with business teams to ensure functional requirements are met\nApply principles of SDLC, Lean/Agile methodologies, CI/CD, and testing techniques to establish robust development pipelines\nWork with IA and DT teams as necessary to deploy tools in classified spaces\nIntegrate with engineering toolchains (Teamcenter, NX, Cameo, Ansys, etc.) through APIs and data structures\nDevelop data integration solutions, working with various data sources, databases, and APIs\nBalance delivery speed, quality, and sustainability of tools to support business outcomes at business pace\nDefine multigenerational capability roadmaps supporting immediate impact and visionary enablement\nEngage with business teams to understand key process workflows and identify automation opportunities\nDocument to-be workflows and define/prioritize integration and automation gaps\nCreate comprehensive technical documentation, code comments, and developer guides\nProvide necessary training and support to business consumers and engineering teams\nSupervisory Responsibilities:\nNone, but mentorship of more junior team memberships is expected. You will frequently collaborate with other engineers to explore, develop, deploy, and test solutions. All of our team members learn together and from each other.\n\nNote: The duties and responsibilities described on this document are not necessarily a comprehensive list and additional tasks may be assigned to the employee from time to time; and the scope of the job may change as necessitated by business demands.\n\nRequired Skills/Abilities:\nBachelor’s Degree in Computer Science, Computer/Electrical Engineering or related STEM discipline\nMust be a U.S citizen. Must possess or be able to obtain a Secret security clearance\nStrong capability in scripting and programming languages (Python, C++, Java, SQL, etc.)\nProficiency in Windows and Unix/Linux programming environments\nDeep understanding of data concepts, data integration practices, APIs, and web services\nExperience with AWS, containerization (Docker/Kubernetes), and cloud-based solutions\nKnowledge of SDLC methodologies, CI/CD pipelines, and automated testing frameworks\nVersion control systems (Git) and collaborative development practices\nBackground in engineering capabilities and tools (PLM - Teamcenter, Systems Engineering - Cameo, CAD - NX, etc.) and their data structures and APIs\nUnderstanding of digital engineering processes, particularly CAD workflows and engineering analysis\nAbility to understand and map business processes, capture requirements, and scope technical solutions\n\nPreferred Skills/Abilities:\nGraduate Degree engineering in Computer Science, Computer/Electrical Engineering or related discipline\n1-3 years of relevant work experience\nKnowledge of AI/ML frameworks and tools for automation (TensorFlow, PyTorch, scikit-learn, etc.)\nExperience with database design and optimization (SQL and NoSQL)\nFamiliarity with RESTful APIs, microservices architecture, and distributed systems\nUnderstanding of DevOps practices and infrastructure as code\nProven ability to execute independently on development projects\nStrong problem-solving abilities and analytical thinking\nEffective communication skills for technical and non-technical audiences\nAbility to work in cross-functional teams and collaborate with business stakeholders\nResilience and persistence in debugging and resolving technical challenges\n\nPhysical Requirements:\nProlonged periods sitting at a desk and working on a computer.\nWhile primarily an office job, may require time at an integration facility or other location.\nMust be able to lift or push 25 pounds at times.\nAbility to traverse 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