Associate AI Automation Engineer

Overview

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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What We Do

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 an 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.

• Analyze investment‑casting 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 image‑based inspection.
• Integrate AI solutions with plant systems (sensors, SCADA, MES, ProCAST/MAGMA) to enable real‑time monitoring, closed‑loop control, and digital‑twin workflows.
• Collect and analyze production, sensor, and quality data to drive insights and decision‑making.
• Lead and validate cross‑functional AI pilot projects and scale successful solutions plant‑wide.
• 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.

• Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Mechanical/Materials Engineering, Industrial Engineering, or a related STEM field.
• 0-2 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 (Tensor Flow, 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…