Axtria - Associate Director - AI Architecture in Noida, भारत

AI Architect - MDM & Data GovernanceLocation: Noida | Practice: MDM & Data Governance CoE | Experience: 8+ https://jobeax.com/link/NvD7kaZTflbs2EcH The RoleWe 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 https://jobeax.com/link/0c14UeRcOwA5jiTP 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 https://jobeax.com/link/0beERPqEYouqP8wT ResponsibilitiesAI 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 https://jobeax.com/link/GlxenDzCBfqlB24m & 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 https://jobeax.com/link/nTY4p383AveNn9E6 Qualifications- 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 https://jobeax.com/link/FfNN38MjANEx2m9w Qualifications- 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. (ref:hirist.tech)