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2 days ago
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Weekday AI·2 days ago
2 days ago

GEN Al Solution Architect

Hyderabad, IndiaFull-timeSenior · 15-26 yearsSoftware Architect

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Top 10%Top 10%: 52 out of 100

Top 10% of NextRaise users matched against Software Architect roles in India.

Must-have skills for this role

  • genai solution architecture
  • azure ai foundry
  • microsoft azure
  • llms

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Apply faster with autofill FREEWeekday AI uses Workable - autofill it instead of retyping.careers.example.com/applyAutofillingFull namePriya SharmaEmailpriya.sharma@example.comPhone+49 30 1234567LocationBerlGet the extension

What you'll do

  • Design end-to-end architectures for Generative AI applications, intelligent assistants, AI agents, copilots, and enterprise AI platforms.
  • Lead the architecture and implementation of solutions using Azure AI Foundry and the broader Microsoft Azure AI ecosystem.
  • Evaluate business requirements and translate them into scalable, secure, reliable, and cost-effective GenAI solutions.
  • Define technical architecture across application, data, AI/ML, integration, security, and cloud infrastructure layers.
  • Design solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, embeddings, vector databases, AI agents, and model orchestration.
  • Establish architectural patterns for integrating GenAI capabilities with enterprise applications, APIs, data platforms, and existing technology ecosystems.
  • Work with engineering and data science teams to move AI prototypes and proof-of-concepts into production-ready solutions.
  • Provide technical leadership on model selection, fine-tuning, evaluation, guardrails, observability, performance, scalability, and responsible AI practices.
  • Design secure AI architectures addressing identity, access control, data privacy, governance, compliance, and enterprise security requirements.
  • Collaborate with senior business and technology stakeholders to understand strategic objectives and recommend appropriate AI architecture and technology approaches.
  • Lead technical discussions, architecture reviews, solution workshops, and presentations with internal and external stakeholders.
  • Define technology standards, reusable architecture frameworks, reference architectures, and best practices for GenAI adoption.

What they're looking for

  • GenAI Solution Architecture
  • Azure AI Foundry
  • Strong hands-on experience with Microsoft Azure and Azure AI services.
  • 15–26 years of experience in software architecture, technology consulting, cloud architecture, AI/ML, or related technology domains.
  • Strong understanding of LLMs, RAG architectures, prompt engineering, embeddings, vector databases, and AI agents.
  • Experience designing enterprise-scale cloud and AI solutions.
  • Strong understanding of APIs, microservices, distributed systems, data platforms, and cloud-native architecture.
  • Experience with AI governance, security, responsible AI, and enterprise data protection.
  • Strong technical leadership, communication, stakeholder management, and problem-solving skills.

Nice to have

  • Experience with Azure OpenAI, AI orchestration frameworks, agentic AI, MLOps/LLMOps, Python, REST APIs, containers, Kubernetes, and enterprise integration platforms will be an advantage.

Summarised by NextRaise from the employer’s description, which follows in full below.

Full description from employer

This role is for one of Weekday’s clients
Salary range: Rs 4000000 - Rs 4500000 (ie INR 40 - 45 LPA)


Min Experience: 15+ years
Location: Hyderabad
JobType: full-time

We are seeking an experienced GenAI Solution Architect with 15–26 years of overall experience to lead the design and architecture of enterprise-grade Generative AI solutions. The ideal candidate will have strong expertise in GenAI architecture, Azure AI Foundry, cloud-native technologies, AI/ML platforms, and enterprise solution design. This role requires a senior technology leader who can translate complex business requirements into scalable, secure, and production-ready AI solutions while working closely with business, engineering, data, and technology stakeholders.

Requirements

Key Responsibilities

  • Design end-to-end architectures for Generative AI applications, intelligent assistants, AI agents, copilots, and enterprise AI platforms.
  • Lead the architecture and implementation of solutions using Azure AI Foundry and the broader Microsoft Azure AI ecosystem.
  • Evaluate business requirements and translate them into scalable, secure, reliable, and cost-effective GenAI solutions.
  • Define technical architecture across application, data, AI/ML, integration, security, and cloud infrastructure layers.
  • Design solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, embeddings, vector databases, AI agents, and model orchestration.
  • Establish architectural patterns for integrating GenAI capabilities with enterprise applications, APIs, data platforms, and existing technology ecosystems.
  • Work with engineering and data science teams to move AI prototypes and proof-of-concepts into production-ready solutions.
  • Provide technical leadership on model selection, fine-tuning, evaluation, guardrails, observability, performance, scalability, and responsible AI practices.
  • Design secure AI architectures addressing identity, access control, data privacy, governance, compliance, and enterprise security requirements.
  • Collaborate with senior business and technology stakeholders to understand strategic objectives and recommend appropriate AI architecture and technology approaches.
  • Lead technical discussions, architecture reviews, solution workshops, and presentations with internal and external stakeholders.
  • Define technology standards, reusable architecture frameworks, reference architectures, and best practices for GenAI adoption.
  • Mentor architects and engineering teams and provide technical guidance throughout the solution lifecycle.

Must-Have Skills

  • GenAI Solution Architecture
  • Azure AI Foundry
  • Strong hands-on experience with Microsoft Azure and Azure AI services.
  • 15–26 years of experience in software architecture, technology consulting, cloud architecture, AI/ML, or related technology domains.
  • Strong understanding of LLMs, RAG architectures, prompt engineering, embeddings, vector databases, and AI agents.
  • Experience designing enterprise-scale cloud and AI solutions.
  • Strong understanding of APIs, microservices, distributed systems, data platforms, and cloud-native architecture.
  • Experience with AI governance, security, responsible AI, and enterprise data protection.
  • Strong technical leadership, communication, stakeholder management, and problem-solving skills.

Preferred Qualifications

Experience with Azure OpenAI, AI orchestration frameworks, agentic AI, MLOps/LLMOps, Python, REST APIs, containers, Kubernetes, and enterprise integration platforms will be an advantage.

Company

Weekday AI
Hyderabad, India

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from Weekday AI's careers site·first seen 18 Sept 2026·last verified 18 Sept 2026·How we source jobs

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