Agentic AI - Forward Deployed Engineer

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.

Location: PAN India

Experience: 10+ Years

Mandatory Application Link:

To be considered for this opportunity, please apply using the link below:

https://forms.cloud.microsoft/r/eWzCLrJ1Gk

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:

• Azure OpenAI
• Claude on AWS Bedrock
• Gemini

Core Expertise:

• Agentic AI
• Multi-Agent Architectures
• RAG (Retrieval-Augmented Generation)
• Prompt Engineering
• Context Engineering
• MCP (Model Context Protocol)
• 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.