Lead AI Engineer - Trainer

MEI Ai; Chennai District; On-site; INR 350,000 - 550,000; Full time

Benefits offered by this job

Flexible engagement with Full-Time or,

Premium compensation

Cutting-edge mandate in Chennai

Job summary

W2S Solution in Chennai invites a Lead AI Engineering Trainer to spearhead Forward Deployed AI and Agentic Systems training for senior engineers and architects. You will design, deliver, and mentor teams on building, deploying, and governing production-grade agentic AI applications within enterprise codebases.

Responsibilities include curriculum design, practical labs, and guiding learners through multi-agent frameworks and modern AI SDKs, while ensuring robust evaluation and guardrails in

Qualifications

• 10+ years of total hands-on software engineering/leadership experience.
• Minimum 4+ years building Generative AI and Agentic AI in production.
• Expertise in LangChain/LangGraph, CrewAI, AutoGen, LlamaIndex.
• Proficiency in Python (Async, FastAPI, Pydantic) and TypeScript/Node.js.
• Strong knowledge of RAG, vector databases, memory systems.
• Experience with observability platforms and cloud deployment (AWS Bedrock, Azure OpenAI, GCP).

Responsibilities

• Curriculum and lab delivery for single/multi-agent frameworks.
• Teach embedded deployment practices inside client cloud environments.
• Guide agents via LangGraph, CrewAI, AutoGen, and LlamaIndex workflows.
• Mentor on AI evaluation harnesses, guardrails, and latency optimization.
• Lead end-to-end enterprise agent projects as customer zero.

Skills

Agentic AI

Python

TypeScript

LLMOps

Client Facing

Pedagogical Skills

Tools

LangChain/LangGraph

CrewAI

AutoGen

LlamaIndex

Job description

Job Opportunity: Lead AI Engineering Trainer (Forward Deployed AI & Agentic Systems)

Location: Chennai, Tamil Nadu

Company Name : W2S Solution

Employment Type: Full-Time / Freelance (Contract)

Experience Required: 10+ Years in IT (Minimum 4+ Years specifically in Agentic AI & Generative AI Engineering)

Accenture

About the Role

We are seeking an industry veteran and technical leader for the role of Lead AI Engineering Trainer specializing in Forward Deployed AI and Agentic Systems. Enterprise AI is moving away from basic chat interfaces toward autonomous, tool-using, multi-agent workflows built inside complex client environments.

Accenture+ 1

In this high-impact role in Chennai, you will design, deliver, and mentor senior software engineers, architects, and technical teams on how to build, deploy, and govern production-grade Agentic AI applications. You will bridge the gap between core LLM theory and the messy realities of Forward Deployed Engineering (FDE)teaching engineers how to work embedded within enterprise codebases, handle unstructured data, build guardrails, and implement robust evaluation suites.

Key Responsibilities

• Curriculum & Lab Delivery: Architect and deliver hands-on, project-based training on single/multi-agent frameworks, tool use, context engineering, and Model Context Protocol (MCP) implementations.
• Forward Deployed Engineering Methodology: Teach best practices for embedded deploymentworking inside client cloud environments, refactoring legacy architecture, handling enterprise compliance, and managing human-in-the-loop workflows.
• Agentic Frameworks & Patterns: Walk learners through building production agents using orchestration frameworks (e.g., LangGraph, CrewAI, AutoGen, LlamaIndex workflows) and modern AI SDKs.
• Evals & Guardrails Coaching: Mentor engineers on designing AI evaluation harnesses, hallucination checks, groundedness metrics, unit testing for non-deterministic code, and latency/cost optimization.
• Real-World Capstone Guidance: Lead learners through building end-to-end "Customer Zero" enterprise agent projects (e.g., automated document processing, code migration agents, database reasoning pipelines).

Core Technical Qualifications & Experience

• Overall IT Background: 10+ years of total hands-on experience in software engineering, distributed systems, enterprise architecture, or technical leadership.
• Agentic AI Expertise: Minimum 4+ years of specialized, hands-on experience building, deploying, and scaling Generative AI and Agentic AI solutions in production.
• Agent Frameworks: Expertise in LangChain / LangGraph, CrewAI, AutoGen, LlamaIndex, or custom function-calling engine implementations.
• Programming & Tech Stack: Advanced proficiency in Python (Async, FastAPI, Pydantic) and TypeScript / Node.js.
• Retrieval & Context Management: Strong knowledge of Advanced RAG, Vector Databases (Pinecone, Qdrant, Milvus, pgvector), state management, and memory systems.
• LLMOps & Tooling: Deep familiarity with observability platforms (LangSmith, Phoenix, Arize), evaluation frameworks (Ragas, DeepEval), and cloud deployment (AWS Bedrock, Azure OpenAI, GCP).

Key Attributes & Soft Skills

• Client-Facing Presence: Experience operating as a Forward Deployed Engineer, Solutions Architect, or Technical Consultant who can communicate with both C-suite stakeholders and developers.
• Pedagogical Instinct: Ability to deconstruct complex non-deterministic AI architecture into clear, actionable, step-by-step mental models.
• Agility: Comfortable with rapidly evolving toolchains and teaching emerging AI paradigms as they hit production readiness.

What We Offer

• Flexible Engagement: Options available for long-term Full-Time employment or high-value Freelance / Retainerassignments.
• Premium Compensation: Top-tier remuneration reflecting the rarity and deep technical expertise required for this position.
• Cutting-Edge Mandate: Lead one of the region's first dedicated Forward Deployed & Agentic AI training initiatives in Chennai.