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.