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Urgent! AI Automation Platform Architect Job Opening In Hyderabad – Now Hiring G1 GLOBAL

AI Automation Platform Architect



Job description

Location: Hyderabad (On-site) Full Time

Department: R& D Engineering

Reports To: Head of Engineering / CTO

Office Timings: 12PM - 9PM


Position Overview

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.

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 Responsibilities

Architecture & Framework Engineering

  • Architect an extensible, component-based automation framework capable of:
  • Custom AI Agent Framework
  • Pluggable ML/LLM pipelines
  • Custom event triggers and action processors
  • Event-driven workflows with state persistence
  • Build core execution capabilities such as:
  • Workflow DAG handling
  • Task queues and async job coordination
  • Error handling, checkpointing, and retries
  • Define reusable microservice APIs and developer-facing SDKs
  • Design scalable multi-tenant architecture for horizontal scaling

AI/LLM Integration

  • Implement LLM abstraction layers using LangChain, Semantic Kernel, or similar libraries
  • Integrate open and commercial LLMs such as OpenAI, Claude, Mistral, or Cohere
  • Build Retrieval-Augmented Generation (RAG) pipelines using vector stores like Pinecone, Qdrant, or FAISS
  • Develop components for:
  • Prompt templates
  • Context memory
  • Chaining and orchestration of multi-step agents

Platform Engineering

  • Containerize services using Docker and orchestrate with Kubernetes and Helm
  • Build and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, or Argo
  • Implement scalable infrastructure patterns including autoscaling and service mesh networking
  • Setup observability stack including structured logs, metrics, tracing, and alerting

UI/UX Enablement

  • Enable low-code/no-code interfaces through backend schema-driven UI renderers
  • Collaborate with React + TypeScript frontend engineers to build:
  • Visual workflow builders
  • Monitoring dashboards
  • Ensure responsiveness and performance of UI for synchronous and long-running processes

Leadership & Collaboration

  • Lead and mentor a cross-functional team of engineers
  • Establish engineering best practices across design, coding, testing, and performance optimization
  • Facilitate cross-team alignment with data scientists, DevOps, and product managers
  • Support hiring efforts and technical onboarding

Minimum Qualifications

  • Bachelor’s or master’s in computer science, Engineering, or related field

Preferred Technical Skills

  • AI/LLM Technologies: OpenAI, Claude, Cohere, HuggingFace Transformers, LangChain, Semantic Kernel, Haystack,
  • Vector databases: Pinecone, FAISS, Qdrant
  • Workflow & Orchestration: Temporal, n8n, Redis Streams, RabbitMQ, Celery, Kafka, EventBridge
  • Backend & Platform: Python, Node.Js, RESTful APIs, gRPC, Webhooks, Kubernetes, Docker, Cloud platforms Azure App Services, AWS Lambda, GCP Cloud Run
  • DevOps & Observability: GitHub Actions, Azure DevOps, Grafana, Loki, OpenTelemetry
  • Frontend (for UI integration): React, TypeScript, Redux, TailwindCSS or Material UI

Soft Skills

  • Strong communicator with documentation and architectural diagramming proficiency
  • Collaborative mindset with a focus on mentorship, code quality, and engineering velocity
  • Adaptability to rapidly evolving AI/LLM ecosystem

Why Join Us

  • Build a flagship AI automation platform from the ground up
  • Work with a visionary Founder, solving real-world enterprise automation challenges

Influence technical strategy, product direction, and scaling decisions


Required Skill Profession

Computer Occupations



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