Senior AI Solutions Architect

Location: Hyderabad (On-site) Full TimeDepartment: R& D Engineering Reports To: Head of Engineering / CTOOffice Timings: 12PM - 9PMPosition OverviewWe are hiring a technically hands-on Senior Architect to lead the design, development, and deployment of a modular AI-driven automation platform, integrating AI Agent framework, Rag Model solution, Large Language Models (LLMs), Machine Learning and rule-based automation engines. This platform will power intelligent workflow automation across internal operations, customer service, and enterprise integrations, enabling our clients to achieve hyper-productivity and reduce operational costs.Primary ResponsibilitiesArchitecture & Framework EngineeringArchitect an extensible, component-based automation framework capable of:Custom AI Agent FrameworkPluggable ML/LLM pipelinesCustom event triggers and action processorsEvent-driven workflows with state persistenceBuild core execution capabilities such as:Workflow DAG handlingTask queues and async job coordinationError handling, checkpointing, and retriesDefine reusable microservice APIs and developer-facing SDKsDesign scalable multi-tenant architecture for horizontal scalingAI/LLM IntegrationImplement LLM abstraction layers using LangChain, Semantic Kernel, or similar librariesIntegrate open and commercial LLMs such as OpenAI, Claude, Mistral, or CohereBuild Retrieval-Augmented Generation (RAG) pipelines using vector stores like Pinecone, Qdrant, or FAISSDevelop components for:Prompt templatesContext memoryChaining and orchestration of multi-step agentsPlatform EngineeringContainerize services using Docker and orchestrate with Kubernetes and HelmBuild and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, or ArgoImplement scalable infrastructure patterns including autoscaling and service mesh networkingSetup observability stack including structured logs, metrics, tracing, and alertingUI/UX EnablementEnable low-code/no-code interfaces through backend schema-driven UI renderersCollaborate with React + TypeScript frontend engineers to build:Visual workflow buildersMonitoring dashboardsEnsure responsiveness and performance of UI for synchronous and long-running processesLeadership & CollaborationLead and mentor a cross-functional team of engineersEstablish engineering best practices across design, coding, testing, and performance optimizationFacilitate cross-team alignment with data scientists, DevOps, and product managersSupport hiring efforts and technical onboardingMinimum QualificationsBachelor’s or master’s in computer science, Engineering, or related fieldPreferred Technical SkillsAI/LLM Technologies: OpenAI, Claude, Cohere, HuggingFace Transformers, LangChain, Semantic Kernel, Haystack, Vector databases: Pinecone, FAISS, QdrantWorkflow & Orchestration: Temporal, n8n, Redis Streams, RabbitMQ, Celery, Kafka, EventBridgeBackend & Platform: Python, Node.Js, RESTful APIs, gRPC, Webhooks, Kubernetes, Docker, Cloud platforms Azure App Services, AWS Lambda, GCP Cloud RunDevOps & Observability: GitHub Actions, Azure DevOps, Grafana, Loki, OpenTelemetryFrontend (for UI integration): React, TypeScript, Redux, TailwindCSS or Material UISoft SkillsStrong communicator with documentation and architectural diagramming proficiencyCollaborative mindset with a focus on mentorship, code quality, and engineering velocityAdaptability to rapidly evolving AI/LLM ecosystemWhy Join UsBuild a flagship AI automation platform from the ground upWork with a visionary Founder, solving real-world enterprise automation challengesInfluence technical strategy, product direction, and scaling decisions