Agentic AI

Key Responsibilities:

• Agentic AI solution implementation leveraging Azure ecosystem, open-source RPA tools and scripting solutions where needed.
• Automation Solution Development: Create, deploy, and optimize automation workflows and BOTs using Agentic AI frameworks like Autogen. Leverage AI-driven processes to enable smart automation in business operations.
• Hands-on Cloud Integration: Design and implement automation solutions that integrate seamlessly with Microsoft Azure services (such as Azure Functions, Logic Apps, Azure Storage) and other cloud-based tools to improve scalability and performance.
• AI and Python Libraries: Utilize Agentic AI frameworks for enhancing automation processes, and use Python libraries like Playwright for web automation, browser interaction, and testing. Implement machine learning models or AI algorithms where applicable to automate decision-making and data processing tasks.
• Scripting & Customization: Develop custom scripts in languages such as Python, PowerShell, JavaScript, and others to extend the functionality of RPA solutions, optimize workflows, and troubleshoot complex scenarios.
• Stakeholder Engagement: Collaborate with business analysts, IT teams, and key stakeholders to gather requirements, align automation goals with business priorities, and ensure automation solutions meet the desired business outcomes.
• Process Optimization: Continuously monitor, analyze, and optimize existing automation systems to enhance performance, reduce processing times, and ensure robustness. Identify opportunities to further automate manual processes across departments.
• Technical Leadership & Mentorship: Provide leadership, mentorship, and training to Agentic AI developers and junior engineers. Share best practices and foster a collaborative environment to ensure high standards of automation development.