Description

You will architect and deliver enterprise solutions integrating Generative AI capabilities.

Responsibilities

• Lead architecture and development of enterprise web applications incorporating Generative AI.
• Define scalable and secure architectural patterns and implementation standards.
• Align business and technical goals by collaborating with Product, AI/ML, DevOps, Security, and Network teams.
• Drive full-stack development best practices across backend, frontend, and infrastructure.
• Architect and integrate LLMs, embeddings, RAG pipelines, and vector databases into production systems while ensuring readiness (security, performance, compliance).

Required Skills

• 10+ years of experience in ML/Engineering, with at least 5 years in architecture roles.
• Proven experience delivering production-grade solutions on Azure.
• Deep expertise in Azure Cloud Architecture, including Azure App Services, AKS, Functions, API Management, Event Grid, Service Bus, Storage, and Key Vault.
• Hands-on experience designing cloud-native, microservices, and event-driven architectures.
• Strong networking and security knowledge: VNETs, private endpoints, NSGs, Zero Trust, RBAC, and managed identities.
• Expertise in GenAI Integration, specifically Azure OpenAI, RAG patterns, embeddings, and vector search.
• Strong backend skills: REST API design, PostgreSQL/MongoDB, data modeling, and OAuth2 implementation.
• Experience with performance tuning, caching (Redis/CDN), and async processing (RabbitMQ/Kafka).

Key Skills

Education

Any Graduate