Technical Lead

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)