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AI & Data Architect

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Onsite

AI & Data Architect

Winspire Tech

AI & Data Architect

Skills

Google Cloud PlatformMicroservicesData AnalysisMachine LearningAIAWSAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Andra, Andhra Pradesh 535273, India

Work mode:

Onsite

Published on:

17 August 2026

What they need


Role Summary

The AI/Data Architect is responsible for defining the end to end architecture for enterprise data, analytics, and AI platforms. The role focuses on designing scalable, secure, and governed data ecosystems and AI solutions that enable advanced analytics, machine learning, and Generative AI use cases while aligning with enterprise standards and long term strategy.

Key Responsibilities

  • Define enterprise scale architecture for data platforms, analytics, and AI/ML solutions.
  • Design end to end data flows including ingestion, processing, storage, and consumption layers.
  • Architect AI/ML and Generative AI solutions covering model development, deployment, and integration.
  • Establish standards for data modeling, metadata, lineage, security, and governance.
  • Collaborate with engineering, AI, DevOps, and platform teams to ensure architectural adherence.
  • Provide technical guidance on cloud architecture, performance, scalability, and cost optimization.
  • Review solution designs, identify risks, and recommend improvements.
  • Support roadmap creation and align architecture to business and platform evolution.

Required Technical Skills

  • Data Architecture: Data modeling, data warehousing, lake/lakehouse architectures
  • AI & Analytics: Machine Learning, Generative AI, LLM integration, analytics platforms
  • Cloud Platforms: AWS / Azure / GCP (architecture and design experience)
  • Integration: APIs, data pipelines, streaming and batch processing

Good to Have Skills

  • Experience with MLOps, model lifecycle management, and AI governance
  • Knowledge of metadata, lineage, and data governance frameworks
  • Familiarity with containerized and microservices based architectures
  • Exposure to BI, visualization, and enterprise reporting platforms
  • Understanding of secure and regulated enterprise environments

Experience & Qualifications

  • 8-12 years of experience in data, analytics, or AI architecture roles
  • Proven experience designing large scale enterprise platforms
  • Strong stakeholder communication and design documentation skills
  • Experience working in Agile and product oriented delivery models

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Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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