AI Implementation Expert

aculocityAculocity is the technology and data company within the GVW Group, serving as the digital backbone for our operating companies, including Autocar, Autocar Parts and Triz Engineering. We deliver enterprise-grade software and systems, analytics, and AI solutions that power innovation in the automotive manufacturing and commercial vehicle industries.Our teams collaborate closely with business leaders to turn data, AI, and automation into measurable business value across our operating companies and global operations. With teams based in the United States and South Africa, Aculocity combines deep industry expertise with cutting-edge technology to drive real-world transformation,Summary:The AI Implementation Expert is a hands-on practitioner who turns AI opportunities into operational business value.You will identify opportunities for automation, decision support, and efficiency improvement using AI tools, and then design, prototype, and deploy quick-win AI solutions, ranging from generative AI copilots and chatbots to lightweight predictive models. This role combines business analysis, AI prototyping, and AI/ML implementation skills, helping teams experience tangible value from AI without lengthy development cycles.Your mission: make AI real for our Centers of Excellence - fast, safe, and scalable.Key Responsibilities:Business Discovery and Solution DesignEngage with business stakeholders to identify opportunities, pain points, inefficiencies, or knowledge gaps where AI can deliver measurable improvement.Translate business needs into well-defined AI use cases with measurable outcomes and clear ROI.Evaluate feasibility and align initiatives with Aculocity's data and AI strategy.Draft high-level solution designs, including model inputs, outputs, and integration points with existing systems (e.g. Copilot, Power Automate, Microsoft Fabric, etc.).AI Solution Prototyping and ImplementationDesign end-to-end AI workflows, from data inputs and prompts to integration points with existing systemsBuild and deploy rapid AI Solutions using tools such as Azure OpenAI, Microsoft Copilot, ChatGPT, or similar frameworks.Design and test conversational agents and copilots that integrate into business workflows.Develop and deploy RAG (retrieval-augmented generation) and prompt-engineered copilots embedded into business workflows.Build and operationalize small to medium-scale ML models (e.g. classification, forecasting, anomaly detection) using tools like Python, Fabric ML, or Azure ML.Integrate AI solutions with existing data sources, APIs, and business systems.Implement monitoring and continuous improvement through prompt tuning, retraining, and user feedback.Evaluation, Governance and AdoptionDefine success metrics and evaluate ROI or business impact of implemented AI solutions.Ensure ethical, secure, and responsible AI deployment aligned to corporate governance standards.Promote secure, auditable, and compliant AI usage through versioning, logging, and human-in-the-loop controls.Support training, change management and AI literacy programs to drive adoption within business teams.Document solutions, maintain prompt libraries, and promote reusable patterns.RequirementsEducation:Degree in Data Science, Computer Science, Engineering, or related discipline (master's or PhD a plus.) Qualifications and certifications are preferred but not mandatory - it's all about your ability to executeCertification in Microsoft Power Platform, Azure AI, or Applied Data Science a plus.Experience:Demonstrated track record of delivering applied AI, analytics, or automation solutions that created measurable business impact.Experience in AI product development, business analysis, or technical consulting.Experience in manufacturing, supply chain, or service operations a plus.Skills:Technical SkillsProficiency with generative AI tools and frameworks (e.g. ChatGPT, Azure OpenAI, Power Automate, Copilot Studio).Experience designing, configuring, or deploying AI Agents and Copilots to automate business processes or enhance user productivity.Experience with Python, SQL, and standard data science / ML libraries (e.g. pandas, scikit-learn, Azure ML).Familiarity with Power BI, Microsoft Fabric, or similar data platforms.Understanding of REST APIs, connectors, and integration methods.Working knowledge of ML lifecycle concepts, including data prep, training, evaluation, deployment.Business & Communication SkillsStrong analytical and problem-solving mindset.Ability to engage with business users, run workshops, and elicit requirements.Ability to translate technical outcomes into business value language.Experience preparing solution proposals and ROI assessments.MindsetWe're looking for someone who:Experiments with emerging AI tools but always grounds ideas in business value.Thinks like an engineer but communicates like a consultant.Sees AI not as a buzzword, but as a systematic enabler of smarter work.Work Environment: Ex. Office setting and plant environmentPhysical Requirements:Capable of wearing task specific personal protective equipment if on plant floor which may include dust mask, safety shoes, gloves, safety glasses, and ear protection.Capable of meeting OSHA standards for manual lifting guidelines: < 50lbsWhile performing the duties of this job it is required to stand, walk, and use hands to operate objects, reach with hands or arms; climb, balance, stoop, kneel, or crouch when necessary for job activity.Ability to sit, stand, and/or walk for extended periods.Legal and Compliance StatementsAt-Will Employment:This job description does not create a contract of employment, nor does it alter the at-will employment relationship. Employment with the company is voluntary and may be terminated at will by either the employee or the company, with or without cause, and with or without notice.Job Duties Disclaimer:The duties and responsibilities outlined here are representative but not exhaustive of the tasks that the employee may be required to perform. Management reserves the right to modify, add, or remove duties and to assign other tasks as necessary to meet business needs.Equal Employment Opportunity:Autocar is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or any other characteristic protected by law.Compliance with Laws and Policies:The employee must adhere to all federal, state, and local employment laws and regulations, as well as all company policies and procedures.Reasonable Accommodations (ADA Compliance):Autocar complies with the Americans with Disabilities Act (ADA) and provides reasonable accommodations to qualified individuals with disabilities. Employees who require assistance or accommodations should contact Human Resources.Confidentiality and Data Protection:Employees are expected to maintain the confidentiality of sensitive information and comply with company policies regarding data protection and proprietary information, in accordance with applicable laws.Non-Exhaustive List of Duties:This job description is not intended to be an exhaustive list of all responsibilities or qualifications associated with the position.