Agentic Forward Deployed Engineer/ FDE

HCLTech; Bengaluru; Hybrid; INR 5,000,000 - 7,000,000; Full time

Job summary

HCLTech is seeking an experienced Agentic Forward Deployed Engineer to partner with enterprise clients and lead the design, development, and deployment of AI-powered business transformation agents. This hybrid India-based role blends consulting, solution architecture, hands-on engineering, and team leadership to deliver enterprise-scale Agentic AI solutions.

With 15+ years of experience, you will engage stakeholders, design agentic systems, and drive governance, security, and reusable

Qualifications

• 15+ years of experience in Software Engineering, Architecture, or Digital Transformation.
• Expert-level Python development and software engineering fundamentals.
• Hands-on experience with agent development frameworks and enterprise AI platforms.

Responsibilities

• Engage with stakeholders to identify and shape agentic AI opportunities.
• Design, build, and deploy single and multi-agent systems using Python and ADKs.
• Develop agent capabilities including RAG, prompt engineering, context engineering, memory, tool/calling, and orchestration.
• Lead evaluation-driven development, Responsible AI practices, AgentOps, DevSecOps, and production governance.
• Integrate agents with enterprise platforms using APIs and secure authentication.
• Lead and mentor a team of engineers for delivery excellence and accelerators.

Skills

Python

Agentic AI

Multi-Agent Systems

Leadership

Consulting

Stakeholder management

Tools

LangGraph

CrewAI

Semantic Kernel

OpenAI Agents SDK

Google ADK

AWS Bedrock AgentCore

Job description

Hiring: Agentic Forward Deployed Engineer/ FDE

Location: India (Hybrid)

Experience: 15+ Years

Company: HCLTech

HCLTech is seeking an experienced Agentic Forward Deployed Engineer to partner directly with enterprise clients and lead the design, development, and deployment of AI-powered business transformation agents.

This is a strategic leadership role combining consulting, solution architecture, hands‑on engineering, and team leadership to deliver enterprise-scale Agentic AI solutions.

Key Responsibilities

• Engage with business and technology stakeholders to identify and shape agentic AI opportunities.
• Design, build, and deploy single and multi-agent systems using Python and leading Agent Development Kits (ADKs).
• Develop agent capabilities including RAG, prompt engineering, context engineering, memory, tool/function calling, MCP integration, and orchestration.
• Lead evaluation-driven development, Responsible AI practices, AgentOps, DevSecOps, and production governance.
• Integrate agents with enterprise platforms using APIs, secure authentication, and modern integration patterns.
• Lead and mentor a team of engineers while driving delivery excellence and reusable accelerators.

Required Skills

• 15+ years of experience in Software Engineering, Architecture, Technology Consulting, or Digital Transformation.
• Expert-level Python development and software engineering fundamentals.
• Hands‑on experience with one or more frameworks such as LangGraph, CrewAI, Semantic Kernel, OpenAI Agents SDK, Google ADK, or AWS Bedrock AgentCore.
• Strong understanding of:
• Agentic AI & Multi-Agent Systems
• Prompt Engineering
• MCP & Tool Calling
• Agent Evaluation Frameworks
• Proven client-facing consulting and stakeholder management experience.
• Experience leading engineering teams and enterprise-scale delivery programs.

Preferred

• Experience with Azure OpenAI, Vertex AI, AWS Bedrock, or similar enterprise AI platforms.
• Domain expertise in Banking, Financial Services, Insurance, Supply Chain, HR, or Compliance.
• Track record of building reusable AI accelerators and enterprise AI solutions.

If you're passionate about shaping the future of enterprise AI and delivering real business impact through Agentic AI, we'd love to hear from you, can share updated profile at [e-mail]

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