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Technical Lead

Date Posted: Oct 23, 2026

Job Detail

  • location_on
    Location Bengaluru, Karnataka, India
  • desktop_windows
    Job Type: Full Time/Permanent
  • schedule
    Shift:
  • analytics
    Career Level:
  • group
    Positions:
  • calendar_view_day
    Experience:
  • male
    Gender: No Preference
  • school
    Degree:
  • calendar_month
    Apply Before: Dec 07, 2026

Job Description

Job Summary

Role Overview

We are looking for a highly skilled DevOps/MLOps/LLMOps Engineer to build, automate, and manage scalable AI/ML and Generative AI platforms. The ideal candidate will have experience operationalizing ML models and LLM-based applications, implementing CI/CD pipelines, monitoring AI systems, and enabling production-grade AI deployments.

Key Responsibilities

  • Design and maintain CI/CD pipelines for AI/ML and Generative AI applications.
  • Build and manage MLOps and LLMOps platforms for model training, deployment, monitoring, and governance.
  • Automate provisioning and deployment using Infrastructure as Code (IaC).
  • Implement observability, performance monitoring, and cost optimization for AI workloads.
  • Manage containerized workloads using Docker and Kubernetes.
  • Support deployment and lifecycle management of LLMs, RAG solutions, and Agentic AI applications.
  • Ensure security, compliance, and reliability of AI platforms.

Skill Requirements

  • 5-8 years of experience in DevOps, MLOps, or Platform Engineering.
  • Strong expertise in Azure, AWS, or GCP.
  • Hands-on experience with Docker, Kubernetes, Terraform, GitHub Actions, Azure DevOps, or Jenkins.
  • Experience with ML lifecycle tools such as MLflow, Kubeflow, Azure ML, or SageMaker.
  • Knowledge of LLMOps, prompt management, model evaluation, vector databases, and RAG architectures.
  • Experience monitoring production AI systems using tools such as Prometheus, Grafana, Azure Monitor, or dynatrace
  • Strong scripting/programming skills in Python, Bash, or PowerShell.

Preferred Skills

  • Experience with Azure AI Foundry, Azure OpenAI, Azure AI Search, and Agentic AI solutions.
  • Familiarity with LangChain, LangGraph, Semantic Kernel, or AutoGen.
  • Knowledge of Responsible AI, model governance, and AI security practices.
  • Azure, AWS, Kubernetes, or Terraform certifications.

Ideal Candidate

A hands-on engineer with proven experience building and operating enterprise-scale DevOps, MLOps, and LLMOps platforms, enabling reliable deployment, monitoring, governance, and optimization of AI and Generative AI solutions in production environments.

Other Requirements

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Source: HCLTech careers — Read the original posting and apply

This role is listed by the employer on its own careers site. Kaam Ki Khoj does not process applications for it.

Company Overview

HCLTech
HCLTech · Noida, Uttar Pradesh, India
4,246 open roles

HCLTech is an employer in the IT/Computers - Software, Software Services sector with operations in India. This is a directory listing maintained by Kaam Ki Khoj so that candidates can find the organisation; it is not an official company page and Kaam... Read More

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