Shape the future of enterprise AI as a GenAI Architect at Iris Software. This role is pivotal in designing and implementing cutting-edge Generative AI solutions. You'll leverage your expertise in LLMs, RAG, vector databases, and agentic AI frameworks to build scalable, secure, and production-ready platforms.

Join a dynamic team within one of India's Top 25 Best Workplaces in the IT industry. Iris Software is committed to fostering an award-winning culture that values talent and ambition, offering a launchpad for significant career growth and professional development.

Design and architect end-to-end Generative AI solutions, including RAG pipelines and agentic workflows. Translate complex business challenges into actionable GenAI use cases and solution blueprints. Develop and optimize retrieval systems using embeddings and vector databases. Implement agentic systems using frameworks like LangChain and LangGraph. Define robust cloud architecture patterns for scalable and secure GenAI deployments. Drive productionization through CI/CD pipelines and containerization best practices. Champion responsible AI principles, ensuring security, governance, and compliance. Provide technical leadership and mentoring to engineering teams.

Requires strong hands-on and architectural expertise in Generative AI, particularly LLMs, RAG, and vector databases. Proficiency in agentic AI frameworks such as LangChain and LangGraph is essential. Experience with cloud-native deployments, CI/CD automation, and MLOps practices is crucial. Familiarity with vector databases like Pinecone, FAISS, Weaviate, Chroma, Milvus, or Azure AI Search is expected. Understanding of enterprise GenAI use cases, evaluation techniques, and responsible AI practices is necessary. Excellent communication and collaboration skills to work with business stakeholders and engineering teams.