• Work with product owners to understand detailed requirements and help architect high-quality solutions to our users
• Work with team and get a solution across partner teams and consumers.
• Build the best cloud-based AI/ML solutions to power intelligent enterprise services
• Collaborate daily with a team of like-minded developers, product managers and quality engineers to produce quality software
• Understand various technology options in terms of performance, accuracy, cost and guide team and come up with the right solutions.

Qualifications

To be successful in this role you have:

• 5+ years of experience in implementing complex AI/ML applications. 
• Specialised in developing enterprise-scale conversational AI platforms and advanced natural language processing solutions.
• Experience in developing LLM-powered applications with modern frameworks and APIs (Langchain, CrewAI, OpenAI /Anthropic APIs etc). And strong analytical mindset with experience evaluating model performance, and optimising inference costs.
• Deep competence in prompt engineering, fine-tuning, and optimising LLM performance. Hands-on expertise with leading models such as GPT, Claude, and open-source alternatives. 
• Proven ability to transform complex LLM concepts into commercial value while communicating effectively with stakeholders at all levels.
• Lead the development of PoCs and applied research prototypes to explore novel AI capabilities, model interpretability, and safety strategies.
• Conduct cutting-edge experiments to assess model behaviour, generalization, and fairness across diverse datasets and use cases.
• Develop CI/CD pipelines and containerized workflows for scalable training, evaluation, and deployment of ML solutions in production.
• Identify risks in AI applications and contribute to responsible AI initiatives, including transparency, robustness, and compliance frameworks.
• Define and implement rigorous evaluation protocols, including human-in-the-loop testing, bias detection, and safety metrics.
• Experience in classical Machine Learning and Deep Learning.
• Ability to work with Senior Architects, Leaders and other BUs to drive a technical solution.
• Experience in designing and implementing NLQ, NLP based solutions

Good to have:

• Familiarity with the ServiceNow platform
• Published research or technical blog postings regarding LLM applications and best practices would be an add-on.
• Experience working with Knowledge Graphs