Technical Architect

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. You will collaborate with business stakeholders, data/ML teams, and engineering teams to deliver scalable, secure, and production-ready GenAI platforms and applications.

Key Responsibilities

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. Define cloud architecture patterns for scalable, secure, and reliable GenAI deployments. Drive productionization using CI/CD pipelines, containerization using best practices. Ensure responsible AI practices including security, governance, privacy, compliance, and monitoring. Provide technical leadership, reviews, mentoring, and best-practice guidance to engineering teams. Collaborate with product and delivery teams to ensure solution alignment with timelines and business outcomes.

Primary Skills (Must Have)

GenAI / LLM Architecture & Algorithms