Location: [Noida/ Pan India] | Practice: MDM & Data Governance CoE | Experience: 8+ years]
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.
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, and differentiation narrative
- Partner with CoE and sales leadership to build and refine GTM assets (battlecards, demo environments, POV decks) for AI-powered MDM and governance offerings
- Present AI architecture and accelerator capabilities directly to client technical and business stakeholders, including live demos and technical deep-dives
- Support discovery workshops to assess client data maturity and identify high-value AI use cases within MDM/DG scope
Delivery & Cross-Functional Leadership
- Provide architectural oversight during implementation, ensuring delivery teams correctly integrate AI components with MDM/DG platforms
- Collaborate with data engineering, MDM, and governance teams to ensure AI solutions align with data governance policies, security, and compliance requirements
- Mentor data scientists, engineers, and consultants on AI architecture best practices within the CoE
- Maintain reusable architecture patterns, technical documentation, and accelerator roadmaps for the CoE
- 8+ years of experience in AI/ML architecture, data architecture, or related technical consulting roles
- Demonstrated experience designing and deploying AI/ML or agentic solutions in production environments
- Strong working knowledge of MDM concepts (match/merge, survivorship, golden records) and data governance principles (stewardship, DCR workflows, policy management)
- Hands-on experience with at least one MDM platform (Reltio, Informatica IDMC, Veeva Network) and one governance/catalog tool (Collibra, Atlan, Alation)
- Proficiency in ML/LLM frameworks and cloud AI services (e.g., Python, Databricks, Snowflake, Azure/AWS AI services, LLM APIs)
- Experience contributing to RFP/RFI responses and client-facing technical presentations
- Strong communication skills with the ability to translate complex AI architecture into business value for non-technical stakeholders
- Experience in life sciences/pharma data environments (HCP/HCO mastering, commercial data ecosystems)
- Prior experience building agentic AI systems or AI copilots for enterprise data workflows
- Familiarity with prompt engineering, RAG architectures, and agent orchestration frameworks
- Relevant certifications in cloud AI/ML platforms or enterprise architecture
