Forward Deployed Engineer (AI, Hyperscale Cloud & DevOps)

Varite Inc.; Hyderabad, Chennai, Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Varite Inc. is seeking a hands-on Forward Deployed Engineer (FDE) with expertise in Generative AI, hyperscaler cloud platforms, DevOps, and platform engineering.

The role focuses on designing, deploying, and operationalizing AI agents and cloud-native solutions across enterprise environments to ensure reliability, scalability, security, and operational excellence. You will design and deploy AI/GenAI agents, integrate with CI/CD pipelines and observability tools, and work with DevOps, SRE,

Qualifications

• 5+ years of experience in Software Engineering, Cloud Engineering, DevOps, SRE, AI/ML Engineering, or related roles.
• Strong programming skills in Python with experience building AI/GenAI applications.
• Hands‑on experience with LangChain, LangGraph, Agentic AI frameworks, and LLM technologies.
• Experience deploying AI/GenAI solutions in production environments.
• Strong understanding of: Prompt Engineering, RAG, Vector Databases, Tool Calling, Agent Orchestration, Structured Outputs.
• Strong experience with one or more Hyperscalers: Azure, AWS, or GCP.
• Hands‑on experience with Kubernetes (AKS/EKS/GKE), Docker, Terraform, GitHub Actions / Azure DevOps / Jenkins, CI/CD and IaC.
• Experience with observability and monitoring tools such as Grafana, Prometheus, OpenTelemetry, Splunk, Dynatrace, or Datadog.
• Understanding of DevOps, SRE, cloud reliability, security, and operational best practices.

Responsibilities

• Design, develop, and deploy AI/GenAI agents using Agentic AI frameworks and LLM technologies.
• Build and operationalize agent workflows for automation, incident response, RCA, deployment validation, and reliability engineering.
• Deploy and manage AI solutions across hyperscaler cloud platforms (Azure, AWS, GCP) and Kubernetes environments.
• Integrate agents with CI/CD pipelines, observability tools, ITSM platforms, code repositories, and enterprise systems.
• Develop reusable APIs, connectors, prompt templates, and automation frameworks.
• Implement AI governance controls including guardrails, access controls, audit logging, monitoring, cost optimization, and rollback mechanisms.
• Own deployment, troubleshooting, observability, and continuous improvement of AI agent platforms.
• Collaborate with DevOps, SRE, Security, Platform, and Engineering teams to deliver production‑ready solutions.

Skills

Python

LangChain

LangGraph

Agentic AI frameworks

LLM technologies

CI/CD tooling

Kubernetes

Docker

Terraform

GitHub Actions

Azure DevOps

Jenkins

Observability tools

SRE/DevOps

Tools

AKS

EKS

GKE

Grafana

Prometheus

OpenTelemetry

Splunk

Datadog

Terraform

GitHub Actions

Azure DevOps

Jenkins

Job description

Bangalore
Hyderabad
Pune
Chennai

Forward Deployed Engineer (AI, Hyperscale Cloud & DevOps)

Role Summary

We are seeking a hands‑on Forward Deployed Engineer (FDE) with expertise in Generative AI, Hyperscaler Cloud Platforms, DevOps, and Platform Engineering. The role involves designing, deploying, integrating, and operationalizing AI agents and cloud-native solutions across enterprise environments while ensuring reliability, scalability, security, and operational excellence.

Key Responsibilities

• Design, develop, and deploy AI/GenAI agents using Agentic AI frameworks and LLM technologies.
• Build and operationalize agent workflows for automation, incident response, RCA, deployment validation, and reliability engineering.
• Deploy and manage AI solutions across hyperscaler cloud platforms (Azure, AWS, GCP) and Kubernetes environments.
• Integrate agents with CI/CD pipelines, observability tools, ITSM platforms, code repositories, and enterprise systems.
• Develop reusable APIs, connectors, prompt templates, and automation frameworks.
• Implement AI governance controls including guardrails, access controls, audit logging, monitoring, cost optimization, and rollback mechanisms.
• Own deployment, troubleshooting, observability, and continuous improvement of AI agent platforms.
• Collaborate with DevOps, SRE, Security, Platform, and Engineering teams to deliver production‑ready solutions.

Required Skills & Experience

• 5+ years of experience in Software Engineering, Cloud Engineering, DevOps, SRE, AI/ML Engineering, or related roles.
• Strong programming skills in Python with experience building AI/GenAI applications.
• Hands‑on experience with LangChain, LangGraph, Agentic AI frameworks, and LLM technologies.
• Experience deploying AI/GenAI solutions in production environments.
• Strong understanding of:
• Prompt Engineering
• RAG
• Vector Databases
• Tool Calling
• Agent Orchestration
• Structured Outputs
• Strong experience with one or more Hyperscalers: Azure, AWS, or GCP.
• Hands‑on experience with:
• Kubernetes (AKS/EKS/GKE)
• Docker
• Terraform
• GitHub Actions / Azure DevOps / Jenkins
• CI/CD and Infrastructure as Code (IaC)
• Experience with observability and monitoring tools such as Grafana, Prometheus, OpenTelemetry, Splunk, Dynatrace, or Datadog.
• Understanding of DevOps, SRE, cloud reliability, security, and operational best practices.

Preferred Skills

• Multi‑cloud architecture and deployment experience across Azure, AWS, and GCP.
• Experience with AI Reliability Engineering, LLMOps, MCP, Agent Gateways, and Responsible AI practices.
• Exposure to .NET or Java application development.
• Experience working in enterprise or regulated environments.
• Certifications in Azure, AWS, GCP, Kubernetes, AI Engineering, or DevOps.