Data Architect

Accenture; Ahmedabad District; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Accenture seeks a Microsoft Agentic Architect to design, architect, and deploy advanced Agentic AI solutions within the Microsoft ecosystem. You will build scalable multi-agent systems and AI-powered applications using Microsoft AI Foundry, Semantic Kernel, Autogen, Copilot Studio, and Azure AI services, ensuring responsible AI practices and governance.

The role requires deep technical leadership, collaboration across cross-functional teams, and the ability to drive innovation while aligning

Qualifications

• Extensive experience with Microsoft AI Foundry, Semantic Kernel, Autogen, Copilot Studio, and Azure AI services.
• Proven ability to design multi-agent architectures and scalable GenAI solutions.
• Hands-on Python and VS Code proficiency.

Responsibilities

• Act as SME in Microsoft Agentic AI solutions with hands-on expertise.
• Lead design and architecture of multi-agent systems for enterprise ecosystems.
• Collaborate with engineering and product teams to deliver GenAI/Agentic solutions with business impact.
• Define Responsible AI practices across solution lifecycles.
• Mentor teams on agentic AI system design and deployment.
• Drive architectural decisions across projects and teams.
• Facilitate knowledge-sharing sessions on Microsoft’s Agentic AI stack.
• Continuously evaluate solution performance and recommend optimizations.

Skills

Microsoft Agentic AI Architecture

Microsoft AI Foundry

Semantic Kernel

Autogen

Copilot Studio

Azure AI services

LLMs/SLMs expertise

Python

Visual Studio Code

Education

15 years full-time education

Tools

Python

Visual Studio Code

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 Agentic AI Architecture

Good To Have Skills

Microsoft Azure Machine Learning, Microsoft Azure OpenAI Service

Experience

Minimum 7.5 years of experience is required

Educational Qualification

15 years full-time education

Summary

As a Microsoft Agentic Architect, you will be responsible for designing, architecting, and deploying advanced Agentic AI solutions leveraging Microsoft’s ecosystem. Your role will focus on building scalable multi-agent systems and AI-powered applications using Microsoft AI Foundry, Semantic Kernel, Autogen, Copilot Studio, and Azure AI services. You will ensure that all solutions are developed responsibly, aligning with ethical AI practices, governance policies, and organizational objectives. This position requires deep technical expertise, leadership, and the ability to collaborate across cross-functional teams to drive innovation in agentic AI.

Roles & Responsibilities

• Act as an SME in Microsoft Agentic AI solutions, with strong hands‑on expertise in Microsoft AI Foundry, Semantic Kernel, Autogen, Copilot Studio, and Azure AI services (LLMs & SLMs).
• Lead the design and architecture of multi‑agent systems and integrate them seamlessly into enterprise ecosystems.
• Collaborate with engineering and product teams to deliver cutting‑edge GenAI/Agentic solutions with measurable business impact.
• Define and implement Responsible AI practices across solution lifecycles, ensuring compliance with ethical standards and regulatory requirements.
• Mentor and guide teams on best practices in agentic AI system design, orchestration, and deployment.
• Drive key architectural and technical decisions across multiple projects and teams.
• Facilitate knowledge‑sharing sessions and training on Microsoft’s Agentic AI stack.
• Continuously evaluate solution performance and recommend optimizations for scalability, accuracy, and compliance.

Must Have Skills

• Deep expertise in Microsoft AI Foundry, Semantic Kernel, Autogen, Copilot Studio, and Azure AI services.
• Strong knowledge of Large Language Models (LLMs) and Small Language Models (SLMs) – fine‑tuning, deployment, and integration into enterprise systems.
• Proven experience in designing and implementing agentic AI architectures.
• Hands‑on experience in Python, Visual Studio Code.

Additional Skills

• Strong understanding of Responsible AI frameworks and governance policies.
• Ability to work with cross‑functional teams to deliver scalable AI solutions.
• Knowledge of compliance and regulatory requirements in AI.
• Strong problem‑solving and decision‑making abilities.

Additional Information

Minimum 8 years of experience in Microsoft AI and 2 years of experience in Agentic AI Architecture, 10+ years in Azure PaaS. 13+ years of total experience in IT. 15 years of full-time education is required.

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.