Agentic AI - Forward Deployed Engineer

HCLTech; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

HCLTech is seeking an Agentic Forward Deployed Engineer (FDE) to partner with clients and translate complex business challenges into production-ready AI agents.

You will design, build, deploy, and optimize autonomous, multi-agent systems across procurement, finance, compliance, onboarding, and claims management, delivering measurable business ROI.

Qualifications

• Proficiency in Python for AI agent development.
• Experience with agentic AI frameworks and production deployment.
• Knowledge of RAG and memory management for agents.

Responsibilities

• Design and deploy Business Transformation Agents with measurable ROI.
• Build autonomous and multi-agent systems for enterprise workflows.
• Integrate AI agents with enterprise applications via secure APIs.
• Implement memory, tool calling, MCP integration, and agent orchestration.
• Lead AgentOps practices, governance, observability, CI/CD, and security.

Skills

Python

Agentic AI

RAG

Prompt Engineering

Tools

Google ADK

LangGraph

CrewAI

OpenAI Agents SDK

AWS Bedrock AgentCore

Microsoft Agent Framework

Semantic Kernel

ADKs

Job description

HCLTech is Hiring | Agentic Forward Deployed Engineer (FDE) - AI

Are you passionate about building cutting-edge AI agents and transforming business processes through Agentic AI? Join HCLTech and be part of the next wave of enterprise AI innovation.

About the Role

As an Agentic Forward Deployed Engineer (FDE), you will work directly with clients to transform complex business challenges into production-ready AI agents. You will design, build, deploy, and optimize autonomous and multi-agent systems that drive measurable business outcomes across functions such as procurement, finance, compliance, onboarding, claims management, and more.

Key Skills & Technologies

Programming: Python (Mandatory)

Agentic AI Frameworks:

• Google ADK
• LangGraph
• CrewAI
• OpenAI Agents SDK
• AWS Bedrock AgentCore
• Microsoft Agent Framework
• Semantic Kernel
• Other Agent Development Kits (ADKs)

LLM Platforms:

• Claude on AWS Bedrock
• Gemini

Core Expertise:

• Agentic AI
• RAG (Retrieval-Augmented Generation)
• Prompt Engineering
• AI Evaluation Frameworks
• AgentOps & DevSecOps

What You'll Do

• Design and deploy Business Transformation Agents with measurable ROI
• Build autonomous and multi-agent systems for real-world enterprise workflows
• Integrate AI agents with enterprise applications using secure APIs
• Implement RAG, memory, tool calling, MCP integration, and agent orchestration
• Drive AgentOps practices, governance, observability, CI/CD, and security
• Develop reusable agent frameworks, templates, and guardrails
• Collaborate with business and technology stakeholders to deliver scalable AI solutions
• Stay ahead of emerging AI and Agentic technologies

Key Responsibilities

• Assess enterprise IT landscapes and identify transformation opportunities.
• Define solution architectures across business, application, infrastructure, and operations layers.
• Lead architecture discussions with business and technology stakeholders.
• Drive innovation through emerging AI technologies and best practices.
• Contribute to technical assets, whitepapers, and knowledge repositories.
• Mentor teams and ensure Responsible AI, security, and governance standards are embedded into every solution.