Azure AI Architect GenAI
1 day ago
Job Title: Azure AI Architect GenAI
Location: Gurgaon (WFO – 5 Days)
Experience: 10–15 Years
CTC: 50–55 LPA
Team Size: 40–50 Engineers
Client Facing |solution architect Technical architect Technical Delivery Ownership
Role Summary
We are looking for a hands-on Azure AI Architect (GenAI) to lead large-scale enterprise GenAI programs, including airline and complex domain implementations. The role combines architecture leadership, AI solution design, delivery ownership, and client-facing engagement.
The ideal candidate brings deep Azure AI / AI Foundry expertise, strong Python-based GenAI development, exposure to LLM agents, RAG, orchestration platforms, and proven experience in leading large engineering teams and AI COEs.
Key Responsibilities
- Architect and deliver enterprise-grade GenAI solutions using Azure AI / AI Foundry
- Lead end-to-end AI solution design covering architecture, scalability, security, and performance
- Own delivery governance, quality, timelines, and budgets for large AI programs
- Lead and mentor 40–50 GenAI engineers / architects
Design and review LLM-based systems:
RAG pipelines
- LLM Agents & orchestration
Prompt engineering & fine-tuning
Conduct Technical COE reviews, solution blueprints, and design validations
- Drive client-facing discussions, solution walkthroughs, and architecture sign-offs
- Collaborate with data science, cloud, and platform teams
- Ensure production-ready AI solutions aligned with enterprise compliance & security
Technology & Architecture Expectations
AI / GenAI
- Azure AI / AI Foundry
- LLMs, Agents, RAG, Prompt Engineering
- Orchestration tools (Flowise, Autogen or similar)
- AI integration using Python
- Exposure to AI platforms & copilots (Copilot, Claude, Gemini, Mistral, etc.)
Cloud & Architecture
- Microsoft Azure (Functions, Service Bus, Storage, Key Vault, Monitoring)
- Experience with multi-cloud environments (Azure + AWS preferred)
- Microservices & cloud-native architectures
Backend / Data
- Python (mandatory for GenAI)
- .NET Core / Microservices (good to have)
- Databases: PostgreSQL, MongoDB, SQL Server
- Messaging & streaming: Kafka, RabbitMQ, Service Bus
Engineering Practices
- Monorepo / Microservices architecture
- CI/CD, DevOps alignment
- Agile / Scrum delivery
- Technical documentation & design blueprints
Leadership & Delivery Experience
- Proven experience managing /mentoring a team of engineers
- Strong mentoring and technical governance capability
- Experience leading global or enterprise clients
- Ability to translate complex AI concepts to business stakeholders
- Ownership mindset across delivery, people, and technology
Ideal Candidate Profile
- 10–15 years of experience in architecture & delivery leadership
- Hands-on Azure GenAI Architect, not just conceptual
- Strong client-facing presence
- Experience building and scaling AI COEs contact email M
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