Architect - R01572475

LocationBangalore, Karnataka, India

SenioritySenior

Experience7–10 yrs

DepartmentAI & Data Engineering, AI & Data Engineering : Data Science

Company size5,001–10,000 people

PostedOct 8, 2026 · 4d ago

Verified live23h ago

At a glanceSummarised by Seekless from the posting.

7 to 10 years of experience in AI, advanced analytics, cloud platforms, and solution architecture

Demonstrated expertise in translating business requirements into scalable, secure, production-ready AI solutions

Microsoft Azure AI technologies, including Azure Foundry and Azure AI services

Designing scalable, secure, and production-ready AI and analytics solutions

Generative AI, machine learning, and advanced analytics architectures

Enterprise cloud platforms and data platform engineering

API design, integration patterns, and modern AI solution architectures

AI governance, security, responsible AI, and operationalization best practices

MLOps and AI platform automation

Bachelor's degree in Computer Science, Information Technology, Data Science, or a closely related discipline

Microsoft Certified: Azure Solutions Architect Expert

Microsoft Certified: Azure AI Engineer Associate

Leading enterprise AI transformation and platform modernization initiatives

GenAI patterns, including LLM applications, Retrieval-Augmented Generation (RAG), agents, prompt engineering, and AI orchestration

Building reusable AI platforms and accelerators for enterprise-scale adoption

LLMOps, AI observability, and model lifecycle management

Connecting AI platform capabilities to measurable business outcomes

Skills

Microsoft Azure

Azure AI

Azure Foundry

Generative AI

machine learning

cloud platforms

API design

MLOps

LLM

Retrieval-Augmented Generation (RAG)

agents

prompt engineering

LLMOps

AI observability

model lifecycle management

Architect

Job requirements

Experience Range: With at least 7 to 10 years of experience in AI, advanced analytics, cloud platforms, and solution architecture, including demonstrated expertise in translating business requirements into scalable, secure, production-ready AI solutions Key Responsibilities:

Responsibilities

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Architect and deliver enterprise AI platforms and advanced analytics solutions that align with business objectives and drive measurable outcomes

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Translate complex business use cases into scalable AI, analytics, and technology architectures leveraging modern cloud and AI capabilities

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Design and implement AI solutions utilizing Azure Foundry, Azure AI services, and cloud-native technologies to ensure scalability, security, and production readiness

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Define architecture patterns and frameworks for Generative AI, machine learning, advanced analytics, and intelligent applications

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Collaborate with business, data, engineering, and platform teams to drive AI initiatives from ideation through implementation

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Establish standards and best practices for AI platform engineering, integration, governance, security, and operationalization

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Evaluate emerging AI platform capabilities and technologies to identify opportunities for improving business outcomes

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Provide architectural guidance to delivery teams and stakeholders to ensure AI investments are aligned with enterprise priorities

Required Skills:

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