Technical Architect

About the role

We are looking for a GenAI Architect to design, build, and guide the implementation of Generative AI solutions across enterprise use cases. The role requires strong hands-on and architectural expertise in LLMs, RAG, vector databases, and agentic AI frameworks, along with experience in cloud-native deployments and CI/CD automation.

What you'll do

• Architect and design end-to-end GenAI solutions including RAG pipelines, agentic workflows, and multimodal use cases
• Translate business problems into GenAI-driven use cases, solution blueprints, and implementation roadmaps
• Design and implement retrieval systems using embeddings, chunking strategies, metadata filters, reranking, and evaluation metrics
• Select and integrate vector databases and optimize indexing, retrieval performance, and relevance tuning
• Build agentic systems using frameworks such as LangChain, LangGraph, and related orchestration tools

What you need

• 6–10 years in software engineering
• Data structures
• Docker
• Kubernetes
• LLMs
• CI/CD
• Machine learning
• Any graduate

Good to have

• IAM
• MLOps
• GCP
• Azure