Senior Technical Architect
Iris Software (company site, opens in a new tab)NoidaOn-siteDirect career pageEst. 30–45 LPA
Posted 13h ago
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Job description
Structured overview of role & requirements
About This Role
- Design and deliver end-to-end enterprise Generative AI architectures, including RAG pipelines and agentic AI workflows.
- Lead the deployment and productionization of GenAI solutions on cloud platforms with focus on scalability, security, and cost efficiency.
- Provide technical leadership and mentorship to engineering teams on GenAI technologies and Responsible AI practices.
Minimum Requirements
- Expertise in Large Language Models (LLMs), RAG systems, vector databases, and agentic AI frameworks such as LangChain.
- Experience deploying production-grade Generative AI platforms on AWS, Azure, or GCP with DevOps skills including Docker, Kubernetes, and CI/CD.
- Hands-on experience with vector stores like Pinecone, FAISS, Weaviate, or similar.
- Work Experience Required: Not explicitly mentioned in the JD
Ideal Candidate Profile
- Proven architect capable of translating business needs into scalable, cloud-native GenAI solutions including multimodal use cases.
- Experienced in retrieval optimization, embeddings, hybrid search, and evaluation metrics such as relevance and latency.
- Strong familiarity with modern GenAI ecosystems including multi-agent workflows, responsible AI, and observability tooling.