Manufacturing AI Automation Engineer

Chromalloy • Tampa, FL

23h

About The Position

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.

Requirements

• 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 in aerospace or precision manufacturing.
• 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 problem‑solver who loves turning complex manufacturing challenges into impactful AI solutions
• A collaborative teammate who thrives in fast‑paced, 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.

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level