Senior Architect

Location : Hyderabad Full Time.

Department : R& D Engineering.

Reports To : Head of Engineering / CTO.

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 & 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 :

- Bachelors or Masters 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.

(ref:hirist.tech)

---