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Senior Architect - Artificial Intelligence/Machine Learning Job Opening In Hyderabad – Now Hiring Raytex IT Services


Job description

<p><p><b>Location : </b> Hyderabad Full Time.<br/><br/> <b>Department : </b> R& D Engineering.<br/><br/> <b>Reports To : </b> Head of Engineering / CTO.<br/><br/> <b>Position Overview :</b></p><p><br/></p><p>We 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.<br/><br/> 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.<br/><br/> <b>Primary Responsibilities & Framework Engineering :</b></p><p><br/></p><p>Architect an extensible, component-based automation framework capable of :</p><p><br/><p> - Custom AI Agent Framework<br/> - Pluggable ML/LLM pipelines</p></p><br/> - Custom event triggers and action processors<br/><br/> - Event-driven workflows with state persistence<br/><br/> Build core execution capabilities such as : <br/><br/> - Workflow DAG handling<br/><br/> - Task queues and async job coordination<br/><br/> - Error handling, checkpointing, and retries<br/><br/>- Define reusable microservice APIs and developer-facing SDKs.<br/><br/>- Design scalable multi-tenant architecture for horizontal scaling.<br/><br/> <b>AI/LLM Integration :</b></p><p><b><br/></b></p><p>- Implement LLM abstraction layers using LangChain, Semantic Kernel, or similar libraries.<br/><br/>- Integrate open and commercial LLMs such as OpenAI, Claude, Mistral, or Cohere.<br/><br/>- Build Retrieval-Augmented Generation (RAG) pipelines using vector stores like Pinecone, Qdrant, or FAISS.<br/><br/> Develop components for : <br/><br/> - Prompt templates<br/><br/> - Context memory<br/><br/> - Chaining and orchestration of multi-step agents.<br/><br/> <b>Platform Engineering :</b></p><p><br/></p><p>- Containerize services using Docker and orchestrate with Kubernetes and Helm.<br/><br/>- Build and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, or Argo.<br/><br/>- Implement scalable infrastructure patterns including autoscaling and service mesh networking.<br/><br/>- Setup observability stack including structured logs, metrics, tracing, and alerting.<br/><br/> <b>UI/UX Enablement :</b></p><p><br/></p><p>- Enable low-code/no-code interfaces through backend schema-driven UI renderers.<br/><br/></p><p>Collaborate with React + TypeScript frontend engineers to build : <br/><br/> - Visual workflow builders<br/><br/> - Monitoring dashboards<br/><br/>- Ensure responsiveness and performance of UI for synchronous and long-running processes.<br/><br/> <b>Leadership & Collaboration :</b></p><p><br/></p><p>- Lead and mentor a cross-functional team of engineers.<br/><br/>- Establish engineering best practices across design, coding, testing, and performance optimization.<br/><br/>- Facilitate cross-team alignment with data scientists, DevOps, and product managers.<br/><br/>- Support hiring efforts and technical onboarding.<br/><br/> <b>Minimum Qualifications :</b></p><p><b><br/></b></p><p>- Bachelors or Masters in Computer Science, Engineering, or related field.<br/><br/> <b>Preferred Technical Skills :</b></p><p><br/></p><p>- AI/LLM Technologies : OpenAI, Claude, Cohere, HuggingFace Transformers, LangChain, Semantic Kernel, Haystack,<br/><br/> - Vector databases : Pinecone, FAISS, Qdrant<br/><br/> - Workflow & Orchestration : Temporal, n8n, Redis Streams, RabbitMQ, Celery, Kafka, EventBridge<br/><br/> - Backend & Platform : Python, Node.js, RESTful APIs, gRPC, Webhooks, Kubernetes, Docker, Cloud platforms Azure App Services, AWS Lambda, GCP Cloud Run<br/><br/> - DevOps & Observability : GitHub Actions, Azure DevOps, Grafana, Loki, OpenTelemetry<br/><br/> - Frontend (for UI integration) : React, TypeScript, Redux, TailwindCSS or Material UI.<br/><br/> <b>Soft Skills :</b></p><p><br/></p><p>- Strong communicator with documentation and architectural diagramming proficiency.<br/><br/>- Collaborative mindset with a focus on mentorship, code quality, and engineering velocity.<br/><br/>- Adaptability to rapidly evolving AI/LLM ecosystem.<br/></p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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