AI Application Architect

1 day ago

anand, India beBeeArtificial Full time

Our AI Application Architect is responsible for designing, building and operating cutting-edge AI systems that drive business success.We are seeking a highly skilled professional to lead the development of our next-generation AI application platform. In this role, you will work on advanced AI systems including Retrieval-Augmented Generation pipelines, multi-model gateways, Model Context Protocol tools, agentic workflow automations and secure chat interfaces.You will be responsible for ensuring the production readiness of all platform components—covering Infrastructure as Code, CI/CD pipelines, Kubernetes orchestration, observability, cost optimization and governance. This role will work closely with product, data and security teams to deliver scalable, secure and high-performing AI-driven applications.Key Responsibilities:Design, develop and operate the company's AI application platform.Build and maintain secure chat interfaces.Owning IaC (Terraform, Helm, etc.), CI/CD automation and Kubernetes-based deployments.Implementing robust observability solutions (monitoring, logging, tracing) across the platform.Ensuring platform reliability, uptime and scalability.Optimizing compute, storage and inference costs.Establishing strong governance, access control and compliance processes.Collaborating cross-functionally to deliver high-impact AI features and integrations.Troubleshooting production issues and continuously improving the platform's architecture and performance.Required Skills & Qualifications:4–10+ years of experience in software engineering, DevOps or AI/ML platform engineering.Strong hands-on programming experience in Python, Go or TypeScript.Expertise with Kubernetes, container orchestration and cloud-native tooling.Proficiency with Terraform, Helm or other IaC frameworks.Experience building RAG pipelines, LLM integrations or similar AI workflows.Familiarity with n8n, LangChain or custom chat interface frameworks.Solid understanding of observability tools (Prometheus, Grafana, ELK, OpenTelemetry).Experience with secure, production-grade deployments of AI or distributed systems.Preferred Qualifications:Experience with multi-model routing, inference gateways or vector databases.Knowledge of MCP (Model Context Protocol) and related developer tooling.Prior experience scaling AI or distributed systems in cloud environments.Understanding of SRE principles, access governance and security best practices.

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