Senior Data & AI Architect - Machine Learning in Bangalore, भारत

Role Summary :As our Senior Data & AI Architect, you'll set the technical direction for our entire data and AI portfolio. This is a leadership role where you'll decide how all the pieces fit together, from raw source systems to the analytics and AI products our clients use every https://jobeax.com/link/2ClVtuvxr8597N3Q'll work directly with client stakeholders to plan delivery timelines and team capacity, while owning the architecture and governance standards that keep data secure, trustworthy, and production ready. A big part of this role is guiding our solutions from early proof-of-concept (POC) maturity into hardened, enterprise-grade https://jobeax.com/link/XtWXumho9ADYV4FN Responsibilities :- Own the Big Picture: Define the end-to-end data architecture - ingestion from operational and enterprise sources, Lakehouse storage organized in medallion layers, transformation pipelines, and the semantic layer that serves analytics and AI applications.- Architect the AI Layer: Set reference architectures for machine learning and generative AI workloads - including RAG, model hosting and orchestration, and the evaluation and monitoring that prove a model is performing.- Plan With Clients: Partner directly with client stakeholders to set delivery milestones, allocate team capacity, and steer the data and AI roadmap.- Lock Down Governance & Security: Own the data governance model - cataloging, lineage, role-based access control, handling of sensitive data, tenant isolation between clients, and responsible-AI guardrails.- Lead Production Hardening: Guide the transition of solutions from early-stage proof-of-concept builds into robust production platforms - covering orchestration, CI/CD pipelines, data quality testing, observability, and cost and performance tuning.- Set the Technical Bar: Review architectural decisions, approve significant design changes, and maintain high engineering standards across the team, including offshore delivery https://jobeax.com/link/YqxV2gLVnUK9SdVo Technical Experience & Tech Stack :- Experience: 10 - 14+ years in data engineering, analytics, or AI delivery, including 4+ years specifically in a Data or AI Architect role on enterprise cloud platforms.- Tech Stack: Azure Cloud, Databricks, Delta Lake, Apache Spark, Python, SQL, dbt, Azure Data Factory, Unity Catalog, Microsoft Purview, Azure OpenAI, MLflow, Power BI.- Cloud & Platform Expertise: Deep knowledge of the Azure data platform - ADLS, Data Factory, Synapse or Fabric, and Databricks on Azure.- Core Skills: Strong hands-on background with Python, SQL, and PySpark, plus data modeling across both dimensional warehouse and lakehouse (medallion) patterns.- AI & ML: Experience taking machine learning and generative AI solutions to production - model lifecycle management with MLflow, RAG and vector search patterns, and prompt and evaluation frameworks.- Governance & Security: Experience with Unity Catalog and Purview for cataloging and access control, along with data masking and multi-tenant isolation.- Integration: Familiarity with industrial and enterprise source systems - ERP (such as SAP), process historians (such as OSIsoft PI), IoT and time-series data, APIs, and streaming platforms (Event Hubs, Kafka).- Domain (Preferred): Prior delivery experience in energy or manufacturing. (ref:hirist.tech)