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
The Lead AI Engagement Specialist owns a portfolio of AI workflows within one or more business functions, end to end. You will identify where AI genuinely changes how the work is done, redesign that work, write the PRD, drive the build with the architect and engineers, land the adoption, and then manage the performance of the agents in production as a product you are accountable for.
This is a product and transformation role, not a business analysis role. The distinction matters and we mean it:
you will own a roadmap, write specifications precise enough to build from, make scope calls, and be measured on realised value rather than on delivered documentation. If a workflow does not clear its quality bar or nobody uses it, that is your problem to solve, not to report.
Where this role sits
Reports to: Head of the AI Centre of Excellence
Alignment: Dotted line to the leadership of the business function you cover
Works with: AI Engagement specialists, Lead AI Architect and Senior AI Engineer daily; external implementation partners; Security, GRC, Legal and Data teams as required
Owns: The prioritised workflow pipeline, PRDs, roadmap, adoption and live agent performance for one function. Lead & manage other AI Engagement specialists.
Accountable for: Realised, measured business value — not deployment count
What you will own
Chance identification and prioritisation
• Own the AI workflow pipeli
📌 Lead AI Engagement Specialist (Pune)
🏢 QAD
📍 Pune