Urgent Hiring For . Forward Deployed Engineer (FDE)- AWS/AZURE

Intellics Global Services; Chennai District; Hybrid; INR 1,800,000 - 3,000,000; Full time

Job summary

Intellics Global Services is seeking a Forward Deployed Engineer (FDE) to join our AI delivery teams in Chennai. The role collaborates with product, architecture, engineering, QA, and UX to operationalize AI-DLC practices and enable AI-assisted development on cloud platforms.

You will establish reference architectures, coding standards, and knowledge assets while coaching teams on validation, AI quality, and human-in-the-loop controls.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 8+ years of software engineering, architecture, QA, DevOps, or platform engineering experience.
• Hands-on experience delivering cloud-native and enterprise applications.
• Experience with AI-assisted development tools and modern software engineering practices.
• Strong coding and solution architecture background.
• Preferred: Experience with LLMs, Agentic AI, RAG, semantic search, or AI platform.
• Preferred: AWS/Azure/GCP certifications.
• Preferred: Experience in AI platform engineering and MLOps/LLMOps.
• Preferred: Financial Services domain experience.

Responsibilities

• Work hands-on with Product, Architecture, Engineering, QA, and UX teams to operationalize AI-DLC practices.
• Enable Mob Construction, AI-assisted development, prompt engineering, and context-driven delivery.
• Establish reference architectures, AI coding standards, reusable prompts, and semantic knowledge assets.
• Coach teams on validation frameworks, AI quality practices, and human-in-the-loop controls.
• Support brownfield semantic modeling and legacy system knowledge extraction.
• Introduce AI engineering toolchains, evaluation pipelines, and MLOps/LLMOps practices.
• Capture delivery learnings and convert them into reusable best practices.

Skills

Python

Java

JavaScript

DevOps

CI/CD

GitHub

LLMOps

GenAI platforms

Semantic modeling

Coaching and mentoring

Education

Bachelor's degree in Computer Science

Tools

AWS

Azure

GCP

MLOps tools

Job description

Forward Deployed Engineer (FDE)- AWS/AZURE

8yrs -10yrs 30lpa max , 11yrs- 13yrs

Job Description

Work hands-on with Product, Architecture, Engineering, QA, and UX teams to operationalize AI-DLC practices.

Enable Mob Construction, AI-assisted development, prompt engineering, and context-driven delivery.

Establish reference architectures, AI coding standards, reusable prompts, and semantic knowledge assets.

Coach teams on validation frameworks, AI quality practices, and human-in-the-loop controls.

Support brownfield semantic modeling and legacy system knowledge extraction.

Introduce AI engineering toolchains, evaluation pipelines, and MLOps/LLMOps practices.

Capture delivery learnings and convert them into reusable best practices.

Qualifications

Bachelor's degree in Computer Science, Engineering, or related field

8+ years of software engineering, architecture, QA, DevOps, or platform engineering experience

Hands-on experience delivering cloud-native and enterprise applications

Experience with AI-assisted development tools and modern software engineering practices

Strong coding and solution architecture background

Preferred: Experience with LLMs, Agentic AI, RAG, semantic search, or AI platform

Preferred: AWS/Azure/GCP certifications

Preferred: Experience in AI platform engineering and MLOps/LLMOps

Preferred: Financial Services domain experience

Technical & Soft Skills

Prompt engineering and context engineering

Python, Java, JavaScript, or modern cloud development stack

DevOps, CI/CD, GitHub, GitHub Copilot, Cursor, Replit, etc.

GenAI platforms and LLM integration, MLOps / LLMOps

Semantic modeling and knowledge graph concepts

Coaching and mentoring experience

Collaboration across cross-functional teams

Strong verbal and written communication