- Develop AI-driven solutions : Implement generative AI models and solutions within the ServiceNow platform to enhance productivity and automate complex tasks.

- Build high-quality, clean, scalable and reusable code by enforcing software engineering best practices and processes

- High Automation is priority for our team - always look for opportunity to automate the monotonous and tedious work . Able to identify the automation areas that involves repetitive efforts and look for an efficient solution around for every piece of work.

- Strong knowledge around building automation scripts/ prompts using GenAI /AI/ ML capabilities.

- Customize ServiceNow modules : Extend and tailor ServiceNow capabilities using GenAI for various domains, including IT Service Management (ITSM), HR Service Delivery (HRSD), and Customer Service Management (CSM).

- Integrate AI and ML models : Integrate third-party AI tools or develop proprietary machine learning models that align with ServiceNow's architecture and standards.

- Should be capable in building custom applications from scratch or configuring out-of-the-box apps and able to identify and implement the Automation use cases in an agile methodology

- Analyze data patterns : Use AI to identify trends and insights that drive decision-making and enhance automated workflows.

- Ensure scalability : Optimize AI solutions for scalability, ensuring they meet the needs of growing organizations while maintaining performance and reliability.

- Stay updated : Keep abreast of advancements in generative AI, deep learning frameworks, and the capabilities of the ServiceNow platform.

- Support and troubleshooting : Provide technical support for AI-driven applications and troubleshoot issues related to performance or functionality.

Role & responsibilities :

Preferred candidate profile :

Key Technical Skills :

- ServiceNow expertise : Proficiency in developing and configuring ServiceNow modules, scripting (JavaScript), and working with APIs.

- AI and ML knowledge : Strong understanding of generative AI concepts, machine learning algorithms, and frameworks such as TensorFlow, PyTorch, or OpenAI technologies.

- Programming skills : Proficiency in programming languages such as Python, Java, or JavaScript.

- Data handling : Experience with data preprocessing, feature engineering, and model deployment.

- Cloud computing : Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI model hosting and integration.

- Certification CSA, CAD