AI Platform Architect

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 strong 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.

Responsibilities

Architecture & Design

• 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

Delivery & Governance

Innovation & Mentoring

Qualifications

Bachelor's degree in architecture

10+ years of professional experience in software development and architecture.

At least 3–5 years of hands-on experience in AI / ML and Generative AI solutions.

Proven track record of architecting and delivering enterprise-scale AI platforms.