AI Automation Engineer

Chromalloy is a global engineering & solutions company. We are a leading provider of aftermarket parts, repairs, and solutions that safely & reliably extend the life of aircraft engines and gas turbines. We develop, manufacture and repair critical turbine components for a range of engine platforms. Our solutions support the engines running the aerospace, energy and defense industries around the world.

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Why work at Chromalloy?

Chromalloy employees are proud, passionate problem-solvers who strive to live our values every day. A career with Chromalloy is an opportunity to learn from top industry experts, work with important technologies, and unlock a passion for innovation. Join our team of experts, innovators and problem-solvers delivering world-class solutions for our customers. As a global company, we are committed to creating an inclusive environment where all employees feel represented, heard, and able to bring their best selves to work every day. Be part of something bigger with Chromalloy!

Our Total Rewards Program is designed to support you today and in the future.

• Comprehensive and flexible benefit options starting on day one, including medical, dental, vision, EAP, wellness incentives, and 401(k) with employer matching.
• Development & progression opportunities for every employee - regular performance conversations, training and development curriculum, and engineering fellowship programs.
• Paid time off, including vacation, sick time, paid holidays, and parental leave-all eligible on your first day of employment!
• Competitive pay, including eligibility for quarterly and annual bonuses, depending on role and site.

Eligibility for individual benefit plans may vary based on employment status.

We are seeking a highly skilled AI Automation Engineer to drive transformative continuous improvement initiatives in our superalloy investment casting operations. Specializing in precision components such as single-crystal nickel-based turbine blades for aerospace and industrial gas turbines, our foundry demands exceptional process control, yield optimization, and defect minimization. In this role, you will apply artificial intelligence, machine learning, and automation technologies to identify opportunities, develop solutions, and implement scalable systems that enhance efficiency, reduce variability, and improve quality across the entire casting value stream-from wax pattern production to final inspection and heat treatment.

Your work will focus on data-driven process optimization, predictive analytics, and intelligent automation to achieve measurable gains in manufacturing yield, cost reduction, and compliance with stringent aerospace standards.

Key Responsibilities

• Analyze investmentcasting processes with metallurgists, engineers, and production teams to identify AI and automation opportunities.
• Build and deploy ML models for defect prediction, parameter optimization, and automated imagebased inspection.
• Integrate AI solutions with plant systems (sensors, SCADA, MES, ProCAST/MAGMA) to enable realtime monitoring, closedloop control, and digitaltwin workflows.
• Collect and analyze production, sensor, and quality data to drive insights and decisionmaking.
• Lead and validate crossfunctional AI pilot projects and scale successful solutions plantwide.
• Monitor deployed models to ensure reliability, interpretability, and compliance with quality standards.
• Stay current on emerging AI technologies and recommend R&D initiatives.
• Document AI models, processes, and results to support knowledge transfer and continuous improvement.

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Mechanical/Materials Engineering, Industrial Engineering, or a related STEM field.
• 2+ years of hands-on experience developing and deploying AI/ML solutions, preferably in manufacturing, process industries, or high-precision environments.
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn); experience with computer vision libraries (OpenCV, YOLO) and time-series/ensemble modeling.
• Strong understanding of data pipelines, feature engineering, model evaluation, and deployment (e.g., Docker, cloud platforms like AWS/Azure).
• A problemsolver who loves turning complex manufacturing challenges into impactful AI solutions
• A collaborative teammate who thrives in fastpaced, technical environments.
• Due to government regulation only US persons (U.S. citizen, U.S. naturalized citizen, U.S. permanent resident, holder of U.S. approved political asylee or refugee status) may be considered for this role.

Preferred Qualifications

• Experience in metal casting, investment casting, foundry operations, or aerospace manufacturing.
• Knowledge of superalloy processing, single-crystal growth techniques, or turbine blade production challenges.
• Familiarity with simulation tools (ProCAST, MAGMAsoft) and integrating AI surrogates/digital twins.
• Background in predictive maintenance, anomaly detection, or optimization algorithms.
• Knowledge of AS9100/NADCAP.
• Experience leading Agile/Scrum projects or small technical teams.

Due to government regulation only US persons (U.S. citizen, U.S. naturalized citizen, U.S. permanent resident, holder of U.S. approved political asylee or refugee status) may be considered for this role.

Chromalloy participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Any offer of employment will also be conditioned upon the successful completion of a background investigation and drug screen in accordance with company policy and applicable federal and state regulations.

Chromalloy is an equal opportunity employer - vets/disabled.

In the United States, if you need a reasonable accommodation for the online application process due to a disability, please contact: https://www.chromalloy.com/contact-us/