Role & responsibilities:

We are seeking an experienced and visionary AI Architect to lead Generative AI development services at QualiZeal.

This individual will define the technical architecture, design principles, and governance models for all GenAI-related initiatives, including our flagship platform QMentisAI and enterprise-grade AI solutions for clients.

The ideal candidate will bring deep expertise in software architecture, AI/ML platforms, and enterprise integrations, combined with a robust understanding of RAG, MCP (Model Context Protocol), and agentic AI frameworks (LangChain, LangGraph, LlamaIndex, etc.).

This role requires a strategic thinker who can balance innovation with scalability, performance, and compliance while mentoring teams and aligning solutions with business objectives.

Preferred candidate profile

Key Responsibilities

Define end-to-end architecture for GenAI applications, platforms, and services, ensuring scalability, security, and performance.

Establish reference architectures, patterns, and frameworks for integrating LLMs into enterprise applications.

Drive adoption of RAG architectures, agentic frameworks (LangChain, LangGraph), and MCP for context-driven AI solutions.

Architect multi-cloud and hybrid AI deployments, leveraging Azure, AWS, or GCP.

Ensure compliance with security, privacy, and responsible AI guidelines.



Technology Leadership

Serve as the technical authority for QMentisAI and other AI platforms.

Evaluate, recommend, and integrate emerging GenAI tools, libraries, and frameworks.

Define best practices for LLM fine-tuning, embeddings, vector databases (Pinecone, Weaviate, FAISS, Azure Cognitive Search).

Collaborate with Product Owners and Solution Architects to ensure AI architecture aligns with enterprise QE workflows.

Partner with UI/UX teams to enable seamless AI-driven user experiences. Delivery & Governance

Guide multiple development squads in Agile/DevOps environments.

Define coding standards, quality gates, and MLOps practices for AI development.

Own AI architecture governance, ensuring consistency across projects. Provide architectural oversight for integration with enterprise systems (JIRA, ADO, SAP, GitHub, Confluence, etc.). Innovation & Mentoring

Lead the AI Center of Excellence (CoE) within QualiZeal.

Mentor engineers and developers in GenAI development, cloud-native design, and advanced architectural practices.

Drive POCs, prototypes, and accelerators to validate emerging technologies for client use cases.

Represent QualiZeal in client discussions, conferences, and thought leadership initiatives on GenAI in Quality Engineering.

📌 Gen AI Manager (Hyderabad)
🏢 Qualizeal India
📍 Hyderabad