Artificial Intelligence - Lead / Architect

Valuelabs; Hyderabad; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

Valuelabs seeks a Lead AI Platform Architect to drive the design and implementation of an enterprise-scale AI Agentic Platform transforming Quality Engineering and Software Delivery.

You will own the end-to-end technical architecture, establish engineering standards, and mentor the AI Platform Engineering team while collaborating with Enterprise Architecture, Cloud Engineering, Security, DevOps, and QE to deliver a scalable, secure platform supporting hundreds of applications.

Qualifications

• 10+ years in software or platform engineering.
• 5+ years designing enterprise cloud-native platforms.
• 3+ years with Generative AI, LLMs, or AI agent frameworks.
• Expert-level Python development.
• Hands-on experience with Kubernetes, Docker, APIs, microservices, and cloud platforms.

Responsibilities

• Lead design and implementation of an enterprise-scale AI Agentic Platform transforming QE and software delivery.
• Own end-to-end technical architecture, establish engineering standards, mentor the AI Platform Engineering team.
• Collaborate with Enterprise Architecture, Cloud Engineering, Security, DevOps, Application Teams, and QE to deliver a scalable, secure AI platform.

Skills

Python development

Leadership

Enterprise architecture

Cloud-native design

Generative AI

Tools

Kubernetes

Docker

AWS

Azure

APIs

Vector databases

RAG

Job description

Role & responsibilities

• The Lead AI Platform Architect will lead the design and implementation of an enterprise-scale AI Agentic Platform that transforms Quality Engineering and Software Delivery.
• This role owns the end-to-end technical architecture, establishes engineering standards, and mentors the AI Platform Engineering team.
• The architect will work closely with Enterprise Architecture, Cloud Engineering, Security, DevOps, Application Teams, and Quality Engineering to deliver a scalable, secure, and reusable AI platform capable of supporting hundreds of enterprise applications. Required Qualifications
• 10+ years in software engineering or platform engineering.
• 5+ years designing enterprise cloud-native platforms.
• 3+ years with Generative AI, LLMs, or AI agent frameworks.
• Expert-level Python development.
• Strong experience with Kubernetes, Docker, APIs, microservices, and cloud platforms (AWS/Azure).
• Hands-on experience with RAG, vector databases, MCP, prompt engineering, and agent orchestration.