Company Description
QAD 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.
Enterprise 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.
Job Description
This 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.
Core Responsibilities:
1. Data Foundation & Semantic Layer
Define and own the context tables (business glossary, entity definitions, metric hierarchies) that ground AI agents in QAD's financial reality.
Build and maintain the semantic layer — the translation between raw Google Cloud BigQuery datasets and the financial concepts agents reason over
Partner with the data engineering team and other functions on dbt model governance and Fivetran pipeline integrity
2. Agent Architecture & Process Design
Determine the build methodology for process agents — frameworks, orchestration patterns, tool use conventions, handoff protocols between agents
Sequence the agent build roadmap.
Design the human-in-the-loop thresholds — when an agent escalates vs. executes autonomously
Own the technical architecture decisions: LLM selection, retrieval strategy, memory design, context

📌 Lead AI Specialist (Mumbai)
🏢 QAD
📍 Mumbai