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Salary
$47k – $106k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Architect
Employment
Full-Time
Overview
Company
Impact
Profile match
Weekday is an Indian recruitment company that sources software engineers through referrals from other engineers rather than through job advertisements or agency databases. Its model pays working engineers to vouch for former colleagues they rate, turning informal knowledge about who is genuinely good into a searchable candidate pool that companies can hire from. Based in Bengaluru and backed by Y Combinator, the platform has layered AI screening and outbound sourcing on top of that referral network, and sells to startups and technology companies hiring in the Indian market.

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.

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