Job Description

nQAD is a leading provider of ERP solutions purpose-built for manufacturing industries — automotive, life sciences, food & beverage, high tech, and industrial. Serving thousands of global manufacturers, QAD's Adaptive Manufacturing Cloud helps companies operate with greater precision, agility, and intelligence.
nEnterprise software is entering a third era. The first gave manufacturers a System of Record — ERP that answered 'what do we have and what did we commit to?' The second gave them Data Infrastructure — the ability to move, analyse, and query that data at scale. The third era is domain-specific intelligence: AI agents that can act autonomously on manufacturing data, but only if that data has been given the context, relationships, and governed rules that allow an agent to reason correctly.
n

nJob Description
n

nThis position will lead the technical design, deployment, and operational management of QAD's Finance AI agents. The role bridges finance operations, data engineering, and AI systems to build secure, high-performing,



and auditable agent-assisted workflows that optimize finance processes.
n

nCore Responsibilities:
n

n1. Data Foundation & Semantic Layer
n
- n
- Define and own the context tables (business glossary, entity definitions, metric hierarchies) that ground AI agents in QAD's financial reality.n
- Build and maintain the semantic layer — the translation between raw Google Cloud BigQuery datasets and the financial concepts agents reason overn
- Partner with the data engineering team and other functions on dbt model governance and Fivetran pipeline integrityn

n2. Agent Architecture & Process Design
n
- n
- Determine the build methodology for process agents — frameworks, orchestration patterns, tool use conventions, handoff protocols between agentsn
- Sequence the agent build roadmap.n
- Design the human-in-the-loop thresholds — when an agent escalates vs. executes autonomouslyn
- Own the technical architectur

📌 Lead AI Specialist (Mumbai)
🏢 QAD
📍 Mumbai