Job Title:  TRAINING CONSULTANT

Job Summary

About the company:

NIIT is a leading Skills and Talent Development Corporation that is building a manpower pool for global industry requirements. The company, which was set up in 1981 to help the nascent IT industry overcome its human resource challenges, today ranks among the world’s leading training companies owing to its vast, yet comprehensive array of talent development programs. With a footprint across 40 nations, NIIT offers training and development solutions to Individuals, Enterprises, and Institutions.

Link for our website: https://www.niit.com/mts/

Job details:

We are hiring a technically strong instructor to deliver a structured, hands on bootcamp on an Agentic AI Framework and its associated compliance and automation tooling. The program is delivered to cohorts that include Forward Deployed Engineers and a broader mix of technical practitioners, business analysts, and consulting professionals

Responsibilities:

Teaching and Content Delivery

• Deliver technical sessions across the multi day arc covering agentic AI system design, multi agent orchestration, runtime policy enforcement, and prototyping with AI tooling.

• Translate technically dense content into clear, accessible explanations for a diversely skilled audience spanning advanced engineers, intermediate practitioners, and career transitioning participants.

• Explain multi service architectures and end to end request flows clearly to engineering audiences. • Teach agentic AI concepts including agent loops, tool calling, task decomposition, DAG based orchestration, and retrieval augmented generation.

• Teach AI compliance concepts including policy as code principles, runtime guardrails, rule engines, and audit logging for regulated environments.

• Open and close each day with structured welcome and debrief routines and adapt depth and pacing in real time based on cohort ability distribution surfaced during introductions and labs.

Live Demonstrations and Lab Facilitation

• Run live technical demonstrations of agentic AI workflows.

• Ability to walk all lab exercises in parallel with participants on a shared screen, setting time expectations and announcing progress checkpoints.

Cohort Management

• Recognize and respond to different skill levels within the cohort. Proactively pair, redirect, or stretch participants based on their progress.

• Create a learning environment where participants feel safe asking questions, taking risks, and surfacing problems early.

Continuous Improvement

• Maintain a running log of environment issues, participant questions, and instructional friction encountered during delivery.

Educational Qualification

Experience

Strongly Recommended (Must Have) Technical Skills :

The instructor will debug participant environments live in front of the cohort. Fluency, not awareness, is required in the following areas:

• Linux: shell navigation, file and permission management, package installation, basic text editing.

• Bash scripting: variables, conditionals, loops, script execution, and troubleshooting.

• Python: data types, control flow, functions, modules, JSON handling, REST API calls. Comfortable reading and debugging asynchronous Python.

• Git: clone, branch, commit, push, pull requests, and merge conflict resolution.

• REST APIs: HTTP verbs, JSON request and response structure, token and API key authentication patterns. • Containerization: running containers, reading compose files, port mapping, inspecting logs, and basic container networking.

• LLM APIs: able to explain what an LLM API call is, why context windows matter, and how tool

NIIT is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.