Gen AI Architect

• Lead architecture and development of enterprise web applications with Generative AI integration
• Define scalable, secure architecture patterns and implementation standards
• Collaborate with product, AI/ML, DevOps, security, and network teams
• Drive full-stack engineering best practices (backend, frontend, infrastructure)
• Design and integrate LLMs, embeddings, RAG pipelines, and vector databases
• Ensure production readiness (security, performance, monitoring, compliance)

• 10+ years of experience in ML and Engineering
• 5+ years in architecture or solution design roles
• Proven track record of delivering production-grade solutions on Azure
• Hands-on experience owning end-to-end application lifecycle (design ? deployment), Cloud Architecture (Azure)
• Design cloud-native, microservices, and event-driven architectures
• Hands-on experience with Azure services (App Services, AKS, Functions, API Management, Event Grid, Service Bus, Storage, Key Vault)
• Strong understanding of subscription design, resource hierarchy, and environment isolation

Networking & Security

• Experience with VNETs, subnets, private endpoints, and service endpoints
• Knowledge of NSGs, ASGs, routing, firewalls, VPN/ExpressRoute
• Familiarity with IP restrictions, TLS, certificates, and authentication flows
• Implementation of Zero Trust, RBAC, managed identities, and secure secrets handling

Performance & Scalability

• Experience with caching (Redis, CDN)
• Knowledge of async processing (Kafka, RabbitMQ)
• Hands-on with load balancing, auto-scaling, and performance tuning

GenAI Integration

• Experience with Azure OpenAI and RAG-based architectures
• Knowledge of embeddings, prompt engineering, and vector search
• Experience with Azure AI Search or PostgreSQL extensions
• Ability to orchestrate LLM pipelines in production

Backend Engineering

• Strong REST API design (versioning, throttling, API gateways)
• Expertise in PostgreSQL and MongoDB (data modeling, optimization)
• Experience with OAuth2, SSO, and secure coding practices (GDPR/SOC2 aligned)

Frontend Engineering

• Experience with React / Next.js
• Knowledge of component libraries and enterprise UI design patterns

DevOps & Infrastructure as Code

• Experience with Azure DevOps or GitHub Actions for CI/CD
• Proficiency in Docker, Kubernetes (AKS), and Helm
• Infrastructure automation using Terraform or Bicep
• Experience with blue-green deployments and canary releases

Real-Time & Scalable UI

• Knowledge of WebSockets and Server-Sent Events (SSE)
• Experience with state management and high-performance UI rendering

Testing & Observability

• Experience with automated unit and end-to-end testing
• Strong knowledge of logging, monitoring, and tracing (App Insights, Log Analytics)
• Familiarity with alerting and observability best practices