We are looking for an AI Architect to lead the design and evolution of AI-driven solutions within our Master Data Management (MDM) and Data Governance practice. This role sits at the intersection of data architecture and applied AI designing intelligent accelerators (matching, stewardship automation, DCR resolution, data quality agents) that augment platforms like Reltio, Informatica IDMC, and Veeva Network, while also playing a key role in pre-sales and solution architecture for client pursuits.
Key Responsibilities
AI Solution Architecture
- Architect AI/ML and agentic solutions for core MDM and data governance use cases: match merge, survivorship, DCR automation, anomaly detection, data quality scoring, and stewardship workflows
- Design and own the technical architecture for AI accelerators (e.g., Smart DCR Agents, Potential Match Resolution Agents, Agentic HCP/HCO Mastering engines), ensuring scalability, explainability, and platform-agnostic integration
- Evaluate and select appropriate AI/ML techniques (LLMs, classical ML, rules + ML hybrid models) based on use case,
data volume, and latency requirements
- Define reference architectures integrating AI layers with MDM platforms (Reltio, Informatica IDMC, Veeva Network) and governance/catalog tools (Collibra, Atlan, Alation)
Optimization Continuous Improvement
- Drive performance tuning, accuracy benchmarking, and continuous optimization of existing AI accelerators and agents
- Establish feedback loops (human-in-the-loop stewardship, model retraining cadences) to improve match precision and reduce false positives/negatives over time
- Monitor and report on AI accelerator ROI metrics (cycle time reduction, automation rate, data quality lift) to clients and internal leadership
- Identify opportunities to modernize legacy rule-based MDM/DG processes with AI-native alternatives
Pre-Sales Client Engagement
- Lead AI/technical solutioning for RFP/RFI responses, including architecture diagrams, effort estimation,
📌 Associate Director (Noida)
🏢 Axtria
📍 Noida