Artificial Intelligence (AI) Engineer

Precision Castparts Corp.; Jenkintown, Langhorne (PA, Bucks County); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Relocation is authorized for this posi

Job summary

Precision Castparts Corp. is seeking an AI Engineer to translate manufacturing challenges into practical, shop-floor AI applications.

This hands-on role focuses on safety, quality, throughput, and productivity by combining AI with operational data and disciplined execution across teams. You will work on-site in Jenkintown, PA, collaborating with Engineering, Quality, Maintenance, EHS, Supply Chain, and HR to identify high-value use cases and deliver lightweight AI-enabled tools that operators

Qualifications

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

Responsibilities

• Identify and prioritize AI use cases tied to safety, quality, throughput, productivity, and workforce capability.
• Build and manage a plant AI opportunity pipeline with data, owners, timing, and success metrics.
• Define problem statements and KPIs such as defect escape reduction, downtime reduction, cycle time improvement, injury risk reduction, and faster time to proficiency.
• Lead pilots from concept through shop-floor adoption, including data readiness, trial design, and training.
• Design AI solutions that are simple, explainable, and usable and integrated into standard work.
• Improve processes across machining, forming, assembly, and inspection operations.
• Own hands-on development and sustainment of lightweight AI-enabled plant applications.

Skills

Git familiarity

AI/digital fluency

Python scripting

UI and REST APIs basics

Education

Bachelor's degree in Manufacturing/Mechanical Engineering or CS

Tools

Git

Python

Streamlit

Dash-style

REST APIs

Databricks Apps

MES

SPC

sensor/PLC data

CNC

Job description

Precision Castparts Corp. is hiring an AI Engineer to help turn manufacturing challenges into practical, shop-floor AI applications. This is a hands-on role focused on improving safety, quality, throughput, productivity, and time-to-proficiency by combining applied AI with operational data and disciplined execution across teams.

Working on-site in Jenkintown, Langhorne, Pennsylvania, you will collaborate with Engineering, Quality, Maintenance, EHS, Supply Chain, and HR to prioritize high-value use cases and deliver lightweight AI-enabled tools that operators and supervisors can actually use in day-to-day standard work.

Key Responsibilities

• Partner across functions (Engineering, Quality, Maintenance, EHS, Supply Chain, HR) to identify and prioritize 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 such as defect escape reduction, downtime reduction, cycle time improvement, injury risk reduction, and faster time to proficiency.
• Lead pilots from concept through shop-floor adoption, covering data readiness, trial design, operator input, training, launch, and sustainment.
• Design AI solutions that are simple, explainable, and usable, integrated into standard work and leader routines.
• Identify and mitigate operational and safety risks, including failure modes, false positives/negatives, bias, and safety impacts, and ensure appropriate controls and escalation paths.
• Improve processes across machining, forming, assembly, and inspection operations.
• Lead root cause analysis related to scrap, rework, downtime, delinquencies, training-related 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 with Maintenance and Operations.
• Own hands-on development, deployment, and sustainment of lightweight AI-enabled plant applications (prototypes through targeted production features) aligned to Division and Corporate IT/AI standards for architecture, security, and governance.
• Act as manufacturing product owner for plant AI applications by defining requirements, validating outputs against shop-floor reality, and ensuring usability for end users.
• Manage the full lifecycle for plant AI solutions: design, development, testing, release, training, and sustainment, escalating decisions and risks as needed.
• Develop and maintain solutions such as Databricks Apps, internal dashboards, decision tools, and AI-assisted workflows that operationalize manufacturing use cases.
• Integrate APIs, model endpoints, and data services into user-facing tools, and document assumptions, controls, and escalation paths.
• Use Git and follow agreed release, testing, and change-management practices; provide Tier 1 support and coordinate enhancements with IT and Corporate AI teams.
• Apply AI-enabled training and development tools to reduce time to proficiency for skilled labor roles (e.g., machinists, thread roll operators, maintenance technicians, inspectors).
• Partner with Engineering, Operations, and HR to identify skill gaps, high-error steps, and learning friction points.
• Develop AI-supported tools including digital work instructions, visual job aids, troubleshooting assistants, and skill-progression checkpoints.
• Enable supervisors and trainers with data-driven insights to focus coaching, standardize training across shifts, and reinforce correct behaviors.
• Validate training effectiveness using faster readiness for independent work, reduced early-stage defects and downtime, and improved retention.
• Use systems and data sources such as MES, SPC, quality systems, downtime tracking, and sensor/PLC and learning data to drive improvement.
• Validate AI outputs through hands-on 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.

Requirements

• 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/Dash-style) and REST APIs.

Technologies

• Git
• Python
• Streamlit
• Dash-style
• REST APIs
• Databricks Apps
• APIs
• MES
• SPC
• sensor/PLC data
• CNC

Benefits

• Relocation is authorized for this position.

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.

National Security and Export Controls

This position requires use of information or access to production processes subject to national security controls under U.S. export control laws and regulations, including ITAR and EAR. Applicants may be required to be U.S. Persons, or eligible to obtain required export authorizations from the U.S. Department of State or the U.S. Department of Commerce.

Equal Employment Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.