AI Implementation Executive / Strategist

Role & responsibilities

• Research, evaluate, and implement emerging and existing AI tools and platforms to improve business efficiency.
• Identify and automate manual, repetitive, and time-consuming processes using AI-based solutions.
• Work with internal teams to understand current workflows and recommend improvements.
• Support the development, customization, and integration of AI-powered tools into existing systems.
• Assist with scripting, coding, and automation using relevant programming languages as required.
• Identify quick-win automation opportunities to save time and improve productivity.
• Stay updated with emerging AI trends, tools, platforms, and best practices.
• Prepare reports, documentation, and recommendations for AI implementation.
• Support basic troubleshooting and coordination for AI-based technology solutions.

Preferred candidate profile

• Sound knowledge of current AI tools, platforms, and automation technologies.
• Working knowledge of Python, JavaScript, or SQL, or other relevant languages.
• Ability to work with APIs, automation tools, and workflow integration platforms.
• Strong problem-solving and analytical skills.
• Ability to understand business processes and suggest practical AI-driven improvements.
• Good communication and coordination skills.
• Quick learner with a hands-on approach to implementing AI solutions.

Preferred Skills:

• Ability to develop AI implementation strategies, map business processes, and translate operational challenges into practical AI use cases.
• Experience working with AI tools or platforms (e.g., machine learning, recommendation engines, automation solutions) and coordinating with technical teams or vendors.
• Understanding of APIs, workflow automation, chatbots, or AI-based productivity tools.
• Background in technology, operations, business analysis, or related fields; experience in retail, e-commerce, or jewelry/wholesale environments is a plus.
• Proven ability to work on-site in a collaborative setting, manage multiple initiatives, and deliver projects on time with attention to detail.
• Bachelors degree in Business, Computer Science, Engineering, Data Science, or a related discipline, or equivalent practical experience.
• Curiosity and willingness to continuously learn about emerging AI trends, tools, and best practices to drive ongoing innovation.