Artificial Intelligence (AI) Engineer

Position Summary:

The AI Engineer is a handson, shopfloor engineer who applies AI and dataenabled tools to improve safety, quality, throughput, productivity, and timetoproficiency in skilled labor roles. This role partners directly with Engineering, Quality, IT, Maintenance, EHS, Supply Chain, and HR to translate real manufacturing problems into practical, scalable AI applications that are adopted and sustained on the floor.

The role is a Manufacturing Engineer / AI Engineer hybrid, spending approximately 50-60% of time developing and maintaining plant AI applications and 40-50% of time in manufacturing, working alongside operators, supervisors, and maintenance teams to ensure solutions reflect real process behavior and are embedded into standard work.

Key Responsibilities

Plant AI Enablement & Manufacturing Partnership

• Partner with Engineering, Quality, Maintenance, EHS, Supply Chain, and HR to identify and prioritize highvalue AI use cases tied to safety, quality, throughput, productivity, and workforce capability.
• Build and manage a plant AI opportunity pipeline, including use cases, value hypotheses, owners, required data, timing, and success metrics.
• Define clear problem statements, requirements, and KPIs (e.g., defect escape reduction, downtime reduction, cycle time improvement, injury risk reduction, faster time to proficiency).
• Lead pilots from concept through shopfloor adoption, including data readiness, trial design, operator input, training, launch, and sustainment.
• Ensure AI solutions are simple, explainable, and usable for operators and supervisors, integrated into standard work and leader routines.
• Identify and mitigate operational and safety risks (failure modes, false positives/negatives, bias, safety impacts) and ensure controls and escalation paths are in place.

Manufacturing & Process Engineering

• Improve manufacturing processes across machining, forming, assembly, and inspection operations.
• Lead root cause analysis related to scrap, rework, downtime, delinquencies, trainingrelated errors, and safety risks.
• Develop, improve, and sustain standard work, process flows, layouts, tooling, and capability studies.
• Support equipment commissioning, process optimization, and reliability improvement in partnership with Maintenance and Operations.

AI Application Development (Plant-IT Collaboration)

• Own handson development, deployment, and sustainment of lightweight AIenabled plant applications (prototypes through targeted production features) using Division and Corporate IT/AI standards for architecture, security, and governance.
• Serve as the manufacturing product owner for plant AI applications by defining requirements, validating outputs against shopfloor reality, and ensuring usability for end users.
• Lead the endtoend lifecycle for plant AI solutions (design, development, testing, release, training, sustainment) and escalate design decisions and risks as needed.
• Develop and maintain solutions such as Databricks Apps, internal dashboards, decision tools, and AIassisted workflows that operationalize manufacturing use cases.
• Integrate APIs, model endpoints, and data services into userfacing tools; document assumptions, controls, and escalation paths.
• Use Git and follow agreed release, testing, and changemanagement practices; provide Tier 1 support and coordinate enhancements with IT and Corporate AI teams.

Workforce Capability & TimetoProficiency Improvement

• Apply AIenabled training and development tools to reduce time to proficiency in key skilled labor roles (e.g., machinists, thread roll operators, maintenance technicians, inspectors).
• Partner with Engineering, Operations, and HR to identify skill gaps, higherror steps, and learning friction points.
• Develop AIsupported tools such as digital work instructions, visual job aids, troubleshooting assistants, and skillprogression checkpoints.
• Enable supervisors and trainers with datadriven insights to focus coaching, standardize training across shifts, and reinforce correct behaviors.
• Validate training effectiveness through faster readiness for independent work, reduced earlystage defects and downtime, and improved retention.

Data, Continuous Improvement & Change Leadership

• Use MES, SPC, quality systems, downtime tracking, sensor/PLC data, and learning data to drive improvement.
• Validate AI outputs through handson observation and process confirmation.
• Establish KPIs, control plans, and visual management to sustain gains.
• Act as a change agent by training and coaching operators and supervisors and embedding improvements into standard work and leader routines.

Experience & Education

Required Qualifications:

• Familiarity with Git and basic software delivery practices.
• Applied AI and digital fluency with light coding capability; able to build prototypes and small production applications.
• Proficiency with Python or similar scripting; familiarity with simple UIs (Streamlit/Dashstyle) and REST APIs.

Preferred Qualifications:

• Strong manufacturing engineering fundamentals (process capability, variation reduction, PFMEA/control plans, standard work).
• Proven structured problem solving (5 Why, fishbone, DOE where appropriate) and Lean/CI leadership.

• Experience with CNC, forming, or precision manufacturing equipment

• Working knowledge of MES, SPC, quality systems, downtime systems, and industrial data sources.

• Familiarity with aerospace, automotive, medical or other highly regulated manufacturing fields

Education:

• Bachelor's degree in Manufacturing Engineering, Mechanical Engineering, Computer Science, or related field; experience in a highmix / highvolume manufacturing environment strongly preferred.

With more than 120 operations and approximately 20,000 employees worldwide, Precision Castparts Corp. is the market leader in manufacturing large, complex structural investment castings, airfoil castings, forged components, aerostructures and highly engineered, critical fasteners for aerospace applications. In addition, we are the leading producer of airfoil castings for the industrial gas turbine market. We also manufacture extruded seamless pipe, fittings, and forgings for power generation and oil & gas applications; commercial and military airframe aerostructures; and metal alloys and other materials for the casting and forging industries. With such critical applications, we insist on quality and dependability - not just in the materials and products we make, but in the people we recruit.

PCC is relentless in its dedication to being a high-quality, low-cost and on-time producer; delivering the highest value to its customers while continually pursuing strategic, profitable growth.

In 2016, Berkshire Hathaway acquired Precision Castparts Corp.