AI Implementation Expert

AI Implementation Expert

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.

• Engage 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.).
• Design end‑to‑end AI workflows from data inputs and prompts to integration points with existing systems.
• Build 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.
• Define 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.

• Degree in Data Science, Computer Science, Engineering, or related discipline (master’s or PhD a plus).
• Certification in Microsoft Power Platform, Azure AI, or Applied Data Science a plus.

• 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.

• Proficiency 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.

• Strong 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.

• 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.