Job Description

Summary

We are seeking a skilled and forward-thinking AI Automation Manager / Specialist to lead the design, development, and deployment of intelligent automation solutions. This role will focus on leveraging AI, machine learning, and process automation tools to streamline workflows, improve efficiency, and enhance business performance.

Key Responsibilities

• Strategy & Planning
• Identify business processes suitable for automation and AI-driven improvements.
• Collaborate with stakeholders to define automation strategies, roadmaps, and priorities.
   
• Solution Development
• Design, build, and deploy automation solutions using tools such as RPA (UiPath, Blue Prism, Automation Anywhere), AI models, and low/no-code platforms.
• Integrate AI capabilities such as natural language processing (NLP), computer vision, and predictive analytics into business processes.
   
• Project Management
• Oversee end-to-end automation projects, from requirements gathering to deployment and maintenance
• Manage timelines, resources, and budgets to ensure successful delivery.
   
• Collaboration & Support
• Work closely with IT, operations, and business teams to ensure seamless integration of automation solutions.
• Provide training, documentation, and ongoing support to users.
   
• Monitoring & Optimization
• Track performance metrics and ROI of automation initiatives.
• Continuously enhance solutions to adapt to evolving business needs.
   

Job Requirements

Qualifications & Skills

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field
• Proven experience in AI, automation, and/or RPA solution design and implementation.
• Strong knowledge of AI frameworks, APIs, and automation tools.
• Experience in project management and cross-functional collaboration.
• Analytical mindset with strong problem-solving skills.
• Excellent communication skills, both technical and non-technical.
   

Preferred Experience

• Certifications in RPA tools (UiPath, Automation Anywhere, Blue Prism) or AI/ML platforms
• Familiarity with cloud platforms (Azure, AWS, GCP) and AI services.
• Understanding of data security, governance, and compliance.
   

Skills