AI Implementation Consultant

e-EMPHASYS TECHNOLOGIES INC; United States; On-site; USD 130,000 - 150,000; Full time

Job summary

VitalEdge seeks an AI Implementation Consultant to lead the hybrid technical and functional deployment of the AI Technician Assist platform. You will bridge AI capabilities with the e-Emphasys ERP service data and real-world technician workflows, driving rapid, accurate diagnostic support in service centers.

The role requires 3+ years in AI/ML-enabled applications and strong ERP/system integration know-how, with a focus on service orders, warranty, and field operations.

Qualifications

• 3+ years of hands-on experience with AI/ML-enabled applications for diagnostic/decision-support
• Experience with ERP/service modules and data extraction via APIs
• Familiarity with data quality, governance, and source-to-target mapping
• Solid understanding of heavy equipment service operations and repair workflows
• Ability to translate field troubleshooting into guided AI/automation workflows
• Experience with system integration concepts and data pipelines

Responsibilities

• Lead end-to-end implementation of the AI Technician Assist platform, including configuration, data integration, pilot rollout, and scaling across service centers
• Manage integration between AI platform and ERP Service module (service orders, history, warranty, parts, labor, task codes) for accurate history data
• Collaborate with data science/AI team to define success criteria and validate outputs against real repair outcomes
• Design technician workflows into guided assist flows within the platform
• Develop training materials and SOPs; drive adoption across a diverse technician workforce
• Communicate progress, risks, and adoption metrics to services leadership and product teams

Skills

AI/ML knowledge

ERP data integration

APIs

Data governance

Industry domain knowledge

Stakeholder communication

Education

Bachelor's degree in Computer Science/Engineering/Infor Systems

Tools

e-Emphasys ERP

API integration

Job description

AI Implementation Consultant

Full Time Professional US

Salary Range: $130,000.00 To $150,000.00 Annually

Department: Professional Services

Reports To: Senior Director, Professional Services

Employment Type: Full-Time

ABOUT US

We are dealer focused and OEM aligned. We are a leading ERP & DMS software and solutions provider to dealers and rental companies of heavy equipment. We specialize in working with the construction, mining, forestry, material handling, and agriculture industries. Today, we have over 800 employees, offices on four continents, and customers in over 20 countries. We are privately held, and our headquarters are in beautiful Cary, NC. We are actively seeking talented individuals to join our team and help us aggressively grow our international & North American footprint for both our 100% cloud-based ERP, DMS, and Rental solutions.

We don't just sell technology, we enable transformation that results in broader societal benefits like building homes and critical infrastructure, growing food and delivering all sorts of products we all rely on for daily life. We exist to ultimately equip the world to keep running. We have more than 60 years of combined experience and three industry-leading software suites and associated apps, with which we will drive the market forward. It's an exciting time to work for VitalEdge, join us!

POSITION OVERVIEW

We are looking for a hybrid technical and functional specialist to lead the implementation and ongoing management of our new AI Technician Assist platform. The platform analyzes historical service data, repair patterns, failure codes, and OEM resources to help field and shop technicians reach a faster, more accurate diagnosis of a customer-reported machine failure.

The role sits at the intersection of AI technology, our e-Emphasys ERP service data, and real-world equipment service operations. The ideal candidate can speak credibly with an AI product team, read our ERP service data structures, and just as importantly, understand how a technician actually works through a failure in the field.

RESPONSIBILITIES

Solution Implementation: Lead the end-to-end implementation of the AI Technician Assist platform, covering configuration, data integration, pilot rollout, and scaling across service centers, partnering with IT, Service Operations, and the e-Emphasys ERP Product team.

ERP & Data Integration: Own the integration between the AI Assist platform and the e-Emphasys ERP Service module (service orders, machine/unit history, warranty, parts, labor, and task codes) so the platform can pull accurate repair and failure history for root-cause analysis.

AI Performance & Feedback: Partner with the data science/AI Product team to define success criteria, validate model output against actual repair outcomes, and run a standing feedback loop from dealer technicians back to Product engineering.

Technician Workflow Design: Translate real-world troubleshooting workflows (symptom, diagnostic steps, root cause, repair) into the platform's guided assist flows.

Change Management & Training: Develop training materials and SOPs, run pilot programs, and drive adoption across a technician workforce with varying levels of digital comfort.

Stakeholder Communication: Report progress, risks, and adoption metrics to Service Operations leadership, IT, and the Product team.

REQUIRED SKILLS & EXPERIENCE

Technical / AI & ERP

• 3+ years of hands‑on experience with AI/ML‑enabled applications, including how recommendation, natural language, or diagnostic/decision‑support models are built, trained, and evaluated. A data science background is not required, but the candidate must be conversant with AI capabilities, limitations, and data requirements.
• Working knowledge of a heavy equipment dealer ERP (e-Emphasys, Infor, or SAP), specifically the Service module, and how that data can be extracted or integrated via APIs.
• Experience with system integration concepts (APIs, data pipelines, middleware) sufficient to read data models and troubleshoot integration issues alongside developers. Production coding is not required.
• Familiarity with data quality and governance practices, ensuring the historical service data feeding the AI model is clean, complete, and properly mapped.
• Solid functional understanding of heavy equipment dealer operations from a Service and Parts perspective, including service order lifecycle, warranty claims, technician dispatch, and shop/field service workflows.
• Direct familiarity with how field and shop technicians diagnose equipment failures, including troubleshooting logic, use of OEM manuals and bulletins, and common root‑cause categories (mechanical, electrical, hydraulic).

Education & Experience

• Bachelor's degree in a related field (Computer Science, Information Systems, Engineering, or equivalent practical experience), or equivalent combination of education and hands‑on service/technology experience.
• 5+ years of combined experience across ERP/service systems, technology implementation, and/or heavy equipment service operations.

PREFERRED QUALIFICATIONS

• Prior experience at a heavy equipment dealer, OEM, or industrial service organization (construction, agriculture, mining, or drilling equipment).
• Experience working directly with an AI/software vendor on a pilot‑to‑scale product rollout.
• Prior experience with service technology rollouts such as mobile service apps, diagnostic tools, or telematics.
• Familiarity with change management frameworks for technology adoption among a frontline, non‑desk workforce.

WHAT SUCCESS LOOKS LIKE

• Successful pilot and phased rollout of the AI Technician Assist platform across targeted service centers, on schedule.
• Measurable improvement in diagnostic accuracy and reduction in average diagnostic/repair time for participating technicians.
• Improved first‑time‑fix rate and reduction in repeat visits for the same complaint.
• Technician adoption and satisfaction, meaning the tool is actively used and trusted in the field, not bypassed.
• Clean, well‑integrated data pipeline between the e-Emphasys ERP and the AI platform, with minimal manual data wrangling.