AI ( artificial intelligence ) IT Executive/Senior Executive

Key Responsibilities

• AI Strategy & Implementation
• Identify and evaluate business processes suitable for AI and automation.
• Research, recommend, and implement AI solutions to improve productivity and efficiency.
• Support the development and deployment of AI-powered applications, chatbots, copilots, and automation workflows.
• Assist in defining AI roadmaps and adoption strategies aligned with business objectives.

Business Process Automation

• Design and implement workflow automation using AI and low-code/no-code platforms.

• Integrate AI solutions with existing enterprise systems such as ERP, CRM, HRMS, and collaboration platforms.

• Develop proof-of-concepts (POCs) and pilot projects for emerging AI technologies.

AI Operations & Governance

• Monitor AI system performance, accuracy, and user adoption.

• Ensure compliance with company policies, data privacy regulations, and AI governance standards.

• Maintain documentation, knowledge repositories, and AI implementation guidelines.

• Manage AI licenses, subscriptions, and vendor relationships.

User Enablement & Training

• Conduct AI awareness sessions and user training programs.
• Provide guidance on prompt engineering and effective AI tool utilization.
• Develop user guides, best practices, and training materials.
• Act as an internal AI champion and advisor for business stakeholders.

Requirements

Education

• Bachelor's Degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Software Engineering, or related field.

Experience

• 2–5 years of experience in IT, digital transformation, automation, data analytics, or AI-related roles.
• Experience with AI tools such as ChatGPT, Microsoft Copilot, Gemini, Claude, or similar platforms.
• Experience in implementing automation solutions is an added advantage.

Technical Skills

• Understanding of Generative AI, Machine Learning, and AI-powered business applications.
• Familiarity with:

o Microsoft Copilot ecosystem

o OpenAI APIs

o Google AI platforms

o Power Platform (Power Automate, Power Apps)

o RPA tools (UiPath, Automation Anywhere, etc.)

• Basic knowledge of:

o Python

o SQL

o API integration

o Data analytics and visualization tools

• Understanding of cloud platforms (Azure, AWS, or Google Cloud) is an advantage.

Preferred Qualifications

• Professional certifications in AI, Data Analytics, Cloud Computing, or Automation.
• Experience with prompt engineering and AI governance frameworks.
• Familiarity with ISO 27001, cybersecurity practices, and data privacy regulations.
• Experience working in manufacturing, retail, logistics, or enterprise environments is an advantage.