Forward Deployed Engineering Lead | Java Full Stack + GenAI & Agentic AI

ThreatXIntel; Chennai; On-site; INR 3,500,000 - 5,200,000; Full time

Job summary

ThreatXIntel is hiring a Forward Deployed Engineering Lead with 18–21 years of experience in Java Full Stack engineering, solution architecture, and hands-on Generative AI development. The role requires technical leadership, client engagement, and hands-on delivery of AI-powered solutions onsite in Chennai.

You will design secure, scalable architectures, build AI-enabled enterprise applications, mentor teams, and ensure code quality, security, and performance while remaining hands-on with core

Qualifications

• Experience deploying and maintaining enterprise AI applications in production.
• Hands-on coding experience in Java Full Stack development and AI.
• Ability to lead architecture decisions and client engagements.

Responsibilities

• Build and integrate Generative AI solutions using LLMs, prompt engineering, and RAG.
• Develop AI agents, tool‑calling workflows, and multi‑agent systems.
• Implement secure agent communication and token‑based security.
• Design scalable REST APIs and secure enterprise architectures.
• Collaborate with clients and stakeholders to translate requirements into production solutions.
• Drive engineering standards, code quality, and reliability.
• Lead deployment, monitoring, and continuous improvement of AI‑powered apps.
• Mentor engineering teams while contributing to hands‑on development.

Skills

Generative AI

Agentic AI

A2A & Security

Leadership

Job description

ThreatXIntel is a growing Cybersecurity, IT Staffing, and Consulting company delivering end-to-end technology and security solutions.

We are hiring for our corporate client. ThreatXIntel is the official hiring partner for this requirement

Employment Type: Full-Time

Work Mode: Onsite

Experience: 18–21 Years

Role: Forward Deployed Engineering Lead

About the Role

We are looking for an experienced Forward Deployed Engineering Lead with 18–21 years of experience in Java Full Stack Engineering, solution architecture, technical leadership, and hands-on Generative AI and Agentic AI development.

The ideal candidate will combine strong engineering expertise with practical AI implementation experience, leading the development of enterprise-grade applications and secure, scalable, AI-powered solutions. This role requires hands‑on coding, architecture ownership, client engagement, and technical team leadership.

Key Responsibilities

• Build and integrate Generative AI solutions using LLMs, prompt engineering, Retrieval-Augmented Generation (RAG), and LLM APIs.
• Develop AI agents, tool‑calling workflows, agent orchestration, and multi‑agent systems.
• Implement Agent-to-Agent (A2A) communication, authentication, and authorization using secure protocols and token‑based mechanisms.
• Design scalable REST APIs, microservices, and secure enterprise architectures.
• Collaborate directly with clients and business stakeholders to translate requirements into production‑ready solutions.
• Drive engineering standards, code quality, performance optimization, security, and reliability.
• Lead deployment, monitoring, troubleshooting, and continuous improvement of AI‑powered applications.
• Mentor engineering teams while remaining actively involved in hands‑on development.

Required Technical Skills

• Generative AI: LLMs, Prompt Engineering, RAG, LLM Integration.
• Agentic AI: AI Agents, Tool Calling, Agent Orchestration, Multi‑Agent Systems.
• A2A & Security: Agent-to-Agent Protocol, OAuth 2.0, OpenID Connect (OIDC), Authentication, Authorization, Token‑Based Security.
• Leadership: Technical Strategy, Client Engagement, Solution Design, Team Leadership, End-to-End Delivery.

Preferred Qualifications

• Experience deploying and maintaining enterprise AI applications in production.
• Strong hands‑on coding and troubleshooting capabilities.
• Ability to balance technical leadership, architecture decisions, and implementation.
• Excellent client‑facing communication and problem‑solving skills.

Important:

This is a hands‑on technical leadership position. Candidates must have practical coding experience in Java Full Stack development, Generative AI, Agentic AI, and secure agent communication—not just theoretical knowledge or team management experience.