Intelligent Automation Engineer

As an AI Integration & Automation Engineer, your role involves designing and implementing intelligent automation workflows, API-driven integrations, and AI-powered solutions across enterprise applications and IT systems. Your primary focus will be on building scalable, secure, and efficient automation frameworks to reduce manual effort and enable predictive, self-healing IT operations. Key Responsibilities: - Develop and maintain API-based integrations between enterprise platforms such as Atlassian (Jira, Confluence), Freshservice, Workday, CRM systems, Genesys phone system, and other IT tools. - Design middleware and microservices for seamless data exchange and process orchestration. - Build end-to-end automation workflows for IT operations, incident management, and business processes using Power Automate, Python, Ansible, and RPA tools. - Implement event-driven automation for real-time system responses and alerts. - Implement LLM-based solutions for intelligent ticket classification, automated knowledge base generation, and conversational IT support. - Deploy NLP-powered chatbots and virtual assistants for self-service IT and workflow automation. - Integrate AI/ML models for predictive analytics, anomaly detection, and proactive system optimization. - Utilize cloud AI services (Azure AI, AWS AI) and MLOps pipelines for scalable AI deployments. - Ensure integrations and workflows are secure, scalable, and resilient. - Implement observability and monitoring for automated processes and AI models. - Work closely with IT, Applications, and Business teams to gather requirements and deliver solutions. - Document integration architectures, automation workflows, and AI models for compliance and knowledge sharing. Required Qualifications: - Bachelor's degree in computer science, IT, or related field. - 6+ years of experience in application integration, automation engineering, and API development. - Knowledgeable in Atlassian products, Freshservice, Workday, CRM tools, cloud services, Genesys phone system, and other IT systems. - Strong proficiency in Python, REST APIs, JSON, and automation platforms. - Hands-on experience with LLMs (OpenAI, Gemini, Hugging Face, Anthropic) and AI/ML frameworks (TensorFlow, PyTorch). - Knowledge of IT security principles and compliance standards. As an AI Integration & Automation Engineer, your role involves designing and implementing intelligent automation workflows, API-driven integrations, and AI-powered solutions across enterprise applications and IT systems. Your primary focus will be on building scalable, secure, and efficient automation frameworks to reduce manual effort and enable predictive, self-healing IT operations. Key Responsibilities: - Develop and maintain API-based integrations between enterprise platforms such as Atlassian (Jira, Confluence), Freshservice, Workday, CRM systems, Genesys phone system, and other IT tools. - Design middleware and microservices for seamless data exchange and process orchestration. - Build end-to-end automation workflows for IT operations, incident management, and business processes using Power Automate, Python, Ansible, and RPA tools. - Implement event-driven automation for real-time system responses and alerts. - Implement LLM-based solutions for intelligent ticket classification, automated knowledge base generation, and conversational IT support. - Deploy NLP-powered chatbots and virtual assistants for self-service IT and workflow automation. - Integrate AI/ML models for predictive analytics, anomaly detection, and proactive system optimization. - Utilize cloud AI services (Azure AI, AWS AI) and MLOps pipelines for scalable AI deployments. - Ensure integrations and workflows are secure, scalable, and resilient. - Implement observability and monitoring for automated processes and AI models. - Work closely with IT, Applications, and Business teams to gather requirements and deliver solutions. - Document integration architectures, automation workflows, and AI models for compliance and knowledge sharing. Required Qualifications: - Bachelor's degree in computer science, IT, or related field. - 6+ years of experience in application integration, automation engineering, and API development. - Knowledgeable in Atlassian products, Freshservice, Workday, CRM tools, cloud services, Genesys phone system, and other IT systems. - Strong proficiency in Python, REST APIs, JSON, and automation platforms. - Hands-on experience with LLMs (OpenAI, Gemini, Hugging Face, Anthropic) and AI/ML frameworks (TensorFlow, PyTorch). - Knowledge of IT security principles and compliance standards.