Desired Competencies (Technical/Behavioral Competency)Must-Have**(Ideally should not be more than 3-5)- Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field. - Proven experience in building and deploying AI/ML models in production, preferably in ITOM or ITSM domains. - Strong knowledge of LLMs, NLP, GenAI frameworks (e.g., LangChain, Hugging Face, OpenAI, Azure OpenAI) - Working knowledge of RAG, MCP - Hands-on experience with cloud platforms (AWS, Azure, GCP) and MLOps tools. - Familiarity with SaaS architecture, microservices, APIs, and containerization (Docker, Kubernetes). - Working knowledge of MCP (Model Context Protocol) for managing contextual integrity and dynamic prompt orchestration in GenAI systems. - Understanding of Agentic AI architectures for autonomous task execution, planning, and orchestration using AI agents. - Excellent communication and leadership skills.Good-to-Have- Relevant cloud certifications are highly desirable. - Google Cloud Professional Machine Learning Engineer - AWS Certified Machine Learning – Specialty - Microsoft Certified: Azure AI Engineer Associate - Certified Kubernetes Application Developer (CKAD) - TensorFlow Developer Certificate - OpenAI Developer Certification (if available) - TOGAF® or other Enterprise Architecture certifications (for broader architectural alignment) - Certified SAFe® Architect (for Agile enterprise environments)
Job Title
Technical Lead