Gen ai Architect

Job description

**Role & responsibilities** Lead architecture and development of enterprise web applications with integrated Generative AI. - Serve as a primary technical partner to clients and developers, guiding them from early experimentation through production scale deployments - Roll up your sleeves on POCs, prototypes, and pilots, and help clients operationalize them into production-grade systems - Design and validate end-to-end AI and GenAI solutions architectures spanning the full stack, from foundation model integration to agentic workflows, orchestration, evaluation, and observability. Define scalable, secure architectural patterns and implementation standards. - Work closely with product, AI/ML, DevOps, security, and network teams to align business and technical goals. - Drive full-stack development best practices across backend, frontend, and infrastructure. - Architect and integrate LLMs, embeddings, RAG pipelines, and vector databases into production systems. - Ensure production readinesssecurity, networking, monitoring, performance, and compliance. **Mandatory Technical Skills** **Cloud Architecture (Azure)** - Deep experience designing cloud-native, microservices and event-driven architectures. Expertise with Azure App Services, AKS, Functions, API Management, Event Grid, Service Bus, Storage, and Key Vault. - Strong understanding of subscription design, resource hierarchy, and environment isolation. **Networking & Security** - Hands-on experience with: VNETs, subnets, private endpoints, service endpoints. NSGs, ASGs, routing, firewalls, and VPN/ExpressRoute connectivity. Whitelisting, IP restrictions, certificates, TLS, and enterprise-grade authentication flows. - Experience implementing Zero Trust, RBAC, managed identities, and secure secret handling. **Performance & Scalability** - Expertise in caching (Redis/CDN), async processing (RabbitMQ/Kafka), load balancing, auto-scaling, and performance tuning. **GenAI Integration** - Hands-on experience with Azure OpenAI, RAG patterns, embeddings, prompt engineering, vector search (Azure AI Search, PostgreSQL extensions). - Experience orchestrating LLM pipelines in real-world production environments. **Backend Engineering** - Strong REST API design (versioning, throttling, API gateways). - Expert in PostgreSQL/MongoDB, data modeling, query optimization. - Experience with OAuth2, SSO, and secure coding aligned to GDPR/SOC2. **Frontend Engineering** - Deep experience with React/Next.js, component libraries, and enterprise UI patterns. **DevOps & IaC** - Strong proficiency with: Azure DevOps or GitHub Actions CI/CD. Docker, Kubernetes (AKS), Helm. Terraform or Bicep for infrastructure automation. - Experience managing production roll-outs, blue-green deployments, and canary releases. **Real-Time & Scalable UI** - Knowledge of WebSockets/SSE, state management, and high-performance UI rendering. **Testing & Observability** - Experience with automated unit/E2E testing. - Strong knowledge of logging, tracing, monitoring (App Insights, Log Analytics), and alerting.