Data Architect

Accenture in India

Kolkata District

On-site

INR 1,500,000 - 2,000,000

Full time

14 days+

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Job summary

Accenture in India seeks a Data Architect to define data requirements and design scalable solutions on Microsoft Azure AI Foundry. The ideal candidate will have over 7.5 years of experience, with significant expertise in AI architecture, compliance, and innovation in enterprise AI projects.

This role includes leading the deployment of AI systems, facilitating workshops, and mentoring teams on governance in Azure. Applicants should have a robust understanding of the Azure ecosystem and stellar stakeholder engagement skills.

Qualifications

  • 7.5 years of experience in the relevant field required.
  • Strong expertise in Microsoft Azure AI Foundry and Agentic AI architecture required.
  • Deep knowledge of AI governance, compliance, and observability frameworks required.

Responsibilities

  • Serve as the Architect for Microsoft Azure AI Foundry and Agentic AI.
  • Design and deploy Agentic AI solutions in Azure AI Foundry.
  • Collaborate with teams to drive AI adoption and ensure compliance.

Skills

Microsoft Azure AI Foundry
Microsoft Azure OpenAI Service
Microsoft BOT Framework

Education

15 years of full-time education

Tools

Azure Machine Learning
Cognitive Services
Synapse
Logic Apps

Job description

Project Role

Data Architect

Project Role Description

Define the data requirements and structure for the application. Model and design the application data structure, storage and integration.

Must Have Skills
  • Microsoft Azure AI Foundry
Good to Have Skills
  • Microsoft Azure OpenAI Service
  • Microsoft BOT Framework
Minimum Experience

7.5 years of experience is required.

Educational Qualification

15 years of full-time education is required.

Summary

As an Azure AI Foundry Architect/Tech Lead, you will lead the design, deployment, and governance of Agentic AI solutions on Microsoft Azure AI Foundry. You will ensure scalable orchestration, observability, and compliance across AI projects while driving innovation in enterprise-grade AI adoption. Acting as a subject‑matter expert (SME), you will collaborate with multiple teams to deliver secure, efficient, and responsible AI systems, while providing technical leadership and enabling organizational transformation through Microsoft's AI ecosystem.

Roles & Responsibilities
  • Serve as the Architect for Microsoft Azure AI Foundry and Agentic AI.
  • Design and deploy Agentic AI solutions leveraging orchestration, pipelines, and observability in Azure AI Foundry.
  • Collaborate with data scientists, engineers, architects, and business stakeholders to drive AI adoption.
  • Ensure AI workloads meet enterprise security, compliance, and governance requirements.
  • Lead and mentor teams, ensuring accountability and high-quality delivery.
  • Partner with cross‑functional teams to make key architecture and solution design decisions.
  • Provide scalable solutions for multi‑team AI initiatives across the enterprise.
  • Facilitate workshops and training to upskill teams on Azure AI Foundry, orchestration, and governance.
  • Monitor solution performance, optimize pipelines, and align outcomes with business goals.
Professional & Technical Skills
  • Proven expertise in Microsoft Azure AI Foundry and Agentic AI architecture (minimum 5 years hands‑on experience in Azure AI/ML technologies).
  • Strong understanding of AI governance, observability, and compliance frameworks.
  • Experience designing and deploying AI pipelines on Microsoft Azure.
  • Deep knowledge of Azure ecosystem (Azure Machine Learning, Cognitive Services, OpenAI, Synapse, Logic Apps, etc.).
  • Ability to analyze large‑scale AI workloads and optimize for performance, scalability, and cost‑efficiency.
  • Strong leadership and stakeholder engagement skills.
  • Familiarity with regulatory requirements for enterprise AI adoption.
Additional Information

The candidate should have a minimum of 7 years of experience in Microsoft Azure PaaS, minimum 5 years hands‑on experience in Azure AI/ML technologies.

A 15 year full-time education is required.

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