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HomeCompanies779e6012 26df 4c72 B6e4 B191845f9776 19000101 000001AI Process Engineer

AI Process Engineer

779e6012 26df 4c72 B6e4 B191845f9776 19000101 000001 · Fayetteville, TN, US, Fayetteville, TN · Active · ADP Workforce Now Recruiting

Job facts

FieldValue
Company779e6012 26df 4c72 B6e4 B191845f9776 19000101 000001
TitleAI Process Engineer
Normalized title-
Department / team-
LocationFayetteville, TN, United States
Work model-
Employment typeFull Time
Salary-
Statusactive
ATS providerADP Workforce Now Recruiting
Posted / first seen2026-06-09 / 2026-06-10
Changed / last seen2026-06-18 / 2026-06-18

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PageWhat it containsOpen
Company jobsActive postings from 779e6012 26df 4c72 B6e4 B191845f9776 19000101 000001.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through ADP Workforce Now Recruiting.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Fayetteville.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

Company779e6012 26df 4c72 B6e4 B191845f9776 19000101 000001
Sourceb32e284d-96da-44a5-899a-aa39db65d82f
ATS providerADP Workforce Now Recruiting

Description

. Join a high-performing team that is going for a home run! Copperweld is seeking a driven and technically skilled AI Process Engineer to support manufacturing optimization and AI-enabled operational improvement initiatives across our production facilities. This position will play a critical role in leveraging machine data, AI tools, and process analytics to improve uptime, throughput, quality, and operational efficiency. The ideal candidate will work closely with operations, maintenance, engineering, and leadership teams to implement practical AI-driven manufacturing solutions that deliver measurable business value. WHAT we need you to do. Lead AI-enabled manufacturing optimization initiatives across Copperweld production facilities. Support and advance machine analytics initiatives including Pocket Watch, Oden, and related manufacturing intelligence projects. Develop machine monitoring dashboards and automated operational alerts. Analyze machine, downtime, scrap, and production data to identify process improvement opportunities. Support predictive maintenance initiatives through machine data analysis and failure pattern detection. Assist in improving Overall Equipment Effectiveness (OEE), throughput, uptime, and quality performance. Develop automated troubleshooting and process guidance tools for manufacturing operations. Collaborate with operations and maintenance teams to optimize machine settings, maintenance scheduling, and production performance. Support IoT and manufacturing data collection initiatives across plant operations. Assist in developing operational KPIs and standardized manufacturing analytics. Travel between Copperweld manufacturing facilities as needed to support operational initiatives and project implementation. WHAT you need to possess. Bachelor’s degree in Engineering, Manufacturing Engineering, Industrial Engineering, Mechanical Engineering, Data Analytics, or related field required. 5+ years of experience in manufacturing engineering, process engineering, industrial analytics, or related operational roles preferred. Experience working in industrial or manufacturing environments required. Familiarity with manufacturing systems, machine data, IoT technologies, and operational analytics preferred. Proven success leveraging AI, machine data, automation, or advanced analytics to improve manufacturing performance, reliability, quality, or operational efficiency. Strong analytical and problem-solving skills with the ability to translate data into actionable operational improvements. Experience with SQL, Python, Power BI, or similar analytics/reporting tools preferred. Knowledge of OEE, downtime analysis, Lean manufacturing, and continuous improvement principles preferred. Strong collaboration and communication skills with the ability to work effectively across operations, maintenance, and engineering teams. Highly collaborative, action-oriented, and results-driven mindset. Ability to thrive in a fast-paced manufacturing environment. Physical Requirements: Ability to work in a manufacturing environment with exposure to varying temperatures, noise levels, and industrial equipment. Ability to stand and walk for extended periods of time. Ability to work safely around heavy machinery and production equipment. Must be able to lift up to 25 pounds at times. Ability to travel between Copperweld manufacturing facilities as needed. WHY Copperweld? STRONG Business Outlook Comprehensive Medical, Dental and Vision Plans PAID Time off & Holidays 401k matching Life and Disability Insurance Employer Assistance Program Copperweld is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and/or expression, age, national origin, genetic information, disability, veteran status, or any other characteristic protected by federal, state or local law. Successful candidates will be required to successfully pass drug screening and background checks.

Full job record

Job IDb631a3f47f0cdd14f31edba1008e8b3f5f7545bb
Org ID902658d7-b56a-42ff-988d-9fa5c5cff824
Source IDb32e284d-96da-44a5-899a-aa39db65d82f
Board IDb32e284d-96da-44a5-899a-aa39db65d82f
Provideradp_workforcenow
Provider Job Key552115
TitleAI Process Engineer
Normalized Title
Statusactive
Activeyes
Location TextFayetteville, TN, US, Fayetteville, TN
Department
Team
Employment Typefull_time
Workplace Type
Remote Policy
CountryUnited States
RegionTN
CityFayetteville
Salary Raw
Salary Min
Salary Max
Salary Currency
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Apply URLhttps://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=779e6012-26df-4c72-b6e4-b191845f9776&ccId=19000101_000001&lang=en_US&type=JS&jobId=552115&jwId=9200964724161_1
First Seen At2026-06-10 12:31:11Z
Last Seen At2026-06-18 12:29:08Z
Last Checked At2026-06-18 12:29:08Z
Last Changed At2026-06-18 12:29:08Z
Inactive At
Source Posted At2026-06-09 13:52:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=adp_workforcenow/board=779e6012-26df-4c72-b6e4-b191845f9776|19000101_000001/date=2026-06-18/2026-06-18T12-29-07-588Z-1248174046e7534d48e098459c055d3307c40a9a95a268c5fa3c548cc630a7f5.json
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The ideal candidate will work closely with operations, maintenance, engineering, and leadership teams to implement practical AI-driven manufacturing solutions that deliver measurable business value.</p><p style=\"margin-left:0in;\"><strong>WHAT we need you to do.</strong></p><ul type=\"disc\"><li style=\"margin-left:0in;\">Lead AI-enabled manufacturing optimization initiatives across Copperweld production facilities.</li><li style=\"margin-left:0in;\">Support and advance machine analytics initiatives including Pocket Watch, Oden, and related manufacturing intelligence projects.</li><li style=\"margin-left:0in;\">Develop machine monitoring dashboards and automated operational alerts.</li><li style=\"margin-left:0in;\">Analyze machine, downtime, scrap, and production data to identify process improvement opportunities.</li><li style=\"margin-left:0in;\">Support predictive maintenance initiatives through machine data analysis and failure pattern detection.</li><li style=\"margin-left:0in;\">Assist in improving Overall Equipment Effectiveness (OEE), throughput, uptime, and quality performance.</li><li style=\"margin-left:0in;\">Develop automated troubleshooting and process guidance tools for manufacturing operations.</li><li style=\"margin-left:0in;\">Collaborate with operations and maintenance teams to optimize machine settings, maintenance scheduling, and production performance.</li><li style=\"margin-left:0in;\">Support IoT and manufacturing data collection initiatives across plant operations.</li><li style=\"margin-left:0in;\">Assist in developing operational KPIs and standardized manufacturing analytics.</li><li style=\"margin-left:0in;\">Travel between Copperweld manufacturing facilities as needed to support operational initiatives and project implementation.<br><br></li></ul><p style=\"margin-left:0in;\"><strong>WHAT you need to possess.</strong></p><ul type=\"disc\"><li style=\"margin-left:0in;\">Bachelor&rsquo;s degree in Engineering, Manufacturing Engineering, Industrial Engineering, Mechanical Engineering, Data Analytics, or related field required.</li><li style=\"margin-left:0in;\">5+ years of experience in manufacturing engineering, process engineering, industrial analytics, or related operational roles preferred.</li><li style=\"margin-left:0in;\">Experience working in industrial or manufacturing environments required.</li><li style=\"margin-left:0in;\">Familiarity with manufacturing systems, machine data, IoT technologies, and operational analytics preferred.</li><li style=\"margin-left:0in;\">Proven success leveraging AI, machine data, automation, or advanced analytics to improve manufacturing performance, reliability, quality, or operational efficiency.</li><li style=\"margin-left:0in;\">Strong analytical and problem-solving skills with the ability to translate data into actionable operational improvements.</li><li style=\"margin-left:0in;\">Experience with SQL, Python, Power BI, or similar analytics/reporting tools preferred.</li><li style=\"margin-left:0in;\">Knowledge of OEE, downtime analysis, Lean manufacturing, and continuous improvement principles preferred.</li><li style=\"margin-left:0in;\">Strong collaboration and communication skills with the ability to work effectively across operations, maintenance, and engineering teams.</li><li style=\"margin-left:0in;\">Highly collaborative, action-oriented, and results-driven mindset.</li><li style=\"margin-left:0in;\">Ability to thrive in a fast-paced manufacturing environment.</li></ul><p style=\"margin-left:0in;\"><strong>Physical Requirements:&nbsp;</strong></p><ul type=\"disc\"><li style=\"margin-left:0in;\">Ability to work in a manufacturing environment with exposure to varying temperatures, noise levels, and industrial equipment.</li><li style=\"margin-left:0in;\">Ability to stand and walk for extended periods of time.</li><li style=\"margin-left:0in;\">Ability to work safely around heavy machinery and production equipment.</li><li style=\"margin-left:0in;\">Must be able to lift up to 25 pounds at times.</li><li style=\"margin-left:0in;\">Ability to travel between Copperweld manufacturing facilities as needed.<br><br></li></ul><p style=\"margin-bottom:16px;margin-top:0px;\" data-pasted=\"true\"><span style=\"font-size:inherit;\"><strong>WHY Copperweld?</strong></span></p><ul><li><strong>STRONG Business Outlook</strong></li><li><strong>Comprehensive Medical, Dental and Vision Plans</strong></li><li><strong>PAID Time off &amp; Holidays</strong></li><li><strong>401k matching</strong></li><li><strong>Life and Disability Insurance</strong></li><li><strong>Employer Assistance Program</strong></li></ul><p style=\"margin-bottom:16px;margin-top:0px;\"><br></p><p style=\"margin-bottom:16px;margin-top:0px;\"><span style=\"font-size:inherit;\"><em>Copperweld is an Equal Opportunity Employer. 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