Company Description

QAD | Redzone is building an enterprise AI platform to support AI-enabled and agentic workflows across the organisation. The AI Centre of Excellence (CoE) is accountable for turning that ambition into deployed, measured, production workflows across priority business functions.
The CoE is small, senior and high-leverage. It combines architecture and engineering with a set of functional AI Engagement Specialists who own the demand side: what gets built, why it is worth building, whether anyone uses it, and whether it actually works once live.

Job Description

We are looking for a Lead AI Architect to own the technical architecture underpinning this transformation — from translating business and product requirements into implementable system designs, to defining the reusable platform capabilities, technology choices and engineering standards required to build and operate AI solutions at scale.
This is a hands-on architecture leadership role. You will work across the AI CoE, enterprise architecture, engineering teams,



business functions and implementation partners to ensure individual AI solutions are built on a coherent, scalable and maintainable foundation rather than as disconnected point solutions.
The distinguishing challenge here is not building one impressive AI workflow. It is building the second, fifth and twentieth at a fraction of the cost of the first, on infrastructure that survives contact with real enterprise identity, real permissions, real data quality and real production incidents.
Where this role sits
Reports to: Head of the AI Centre of Excellence
Alignment: Dotted line to QAD engineering architecture; close partnership with Enterprise Architecture, Security & GRC, Data & Platform Engineering, and Product
Technical leadership of: The CoE engineering team (Senior AI Engineer and subsequent hires) and the engineering capacity provided by system integrators and cloud partners
Primary internal customers: The functional AI Engagement

📌 Lead Ai Architect Pune
🏢 QAD
📍 Pune