Lead AI Engineering Trainer (Forward Deployed AI & Agentic Systems)

W2S Solutions; Chennai District; On-site; INR 400,000 - 750,000; Full time

Job summary

Accenture seeks a Lead AI Engineering Trainer in Chennai to design, deliver, and mentor on production-grade Agentic AI applications inside complex client environments. You will bridge LLM theory with real-world enterprise codebases, guiding engineers on data handling, guardrails, and evaluation suites.

The role focuses on teaching senior software engineers, architecture teams, and technical staff, shaping Forward Deployed AI practices across client engagements with a flexible full-time or

Qualifications

• 10+ years of total hands-on software engineering/leadership experience.

Responsibilities

• Curriculum & Lab Delivery: Architect and deliver hands-on training on single/multi-agent frameworks and MCP implementations.
• Forward Deployed Engineering: Teach embedded deployment, client cloud environments, and compliance.
• Agentic Frameworks & Patterns: Guide building production agents with LangChain-based tools and modern AI SDKs.
• Evals & Guardrails Coaching: Mentor on evaluation harnesses, latency, and cost optimization.
• Real-World Capstone Guidance: Lead end-to-end enterprise agent projects.

Skills

Python

TypeScript/Node.js

Agentic AI

LangChain / LangGraph

Vector DBs

RAG/Context

Cloud AI

LLMOps

Observability

Guardrails

Tools

LangSmith

Phoenix

Arize

AutoGen

LlamaIndex

Job description

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

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.

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 deployment—working 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 / Retainer assignments.
• 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.