Lead Data Scientist
Iris Software (company site, opens in a new tab)NoidaOn-siteDirect career pageEst. 25–45 LPA
Posted on 15 Sept
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Job description
Structured overview of role & requirements
About This Role
- Define and drive enterprise-wide Generative AI strategy and AI transformation initiatives aligned with organization goals.
- Establish and enforce AI engineering standards, governance frameworks, and best practices for enterprise AI solution architecture and delivery.
- Lead architecture design and adoption of advanced AI technologies including Retrieval-Augmented Generation (RAG), agentic AI systems, LangChain, and cloud AI service platforms (Azure OpenAI, Amazon Bedrock).
Minimum Requirements
- Mandatory skills: Advanced GenAI & Agentic Framework Concepts, Cloud Application Integration & Deployment, Agentic AI Systems, Retrieval-Augmented Generation (RAG), Azure OpenAI Service, AI Agents & Tool Calling, LangChain.
- Work Experience Required: Not explicitly mentioned in the JD.
- Location: Noida, UP, India (must be willing to work there).
- Proficiency with data science and AI tools such as Pandas, NumPy, Python, and cloud-native AI application deployment required.
Ideal Candidate Profile
- Experienced in leading enterprise AI architecture strategy with multi-agent AI systems and AI governance frameworks.
- Comfortable collaborating with leadership and cross-functional teams to align AI initiatives with business objectives.
- Skilled in integrating AI solution lifecycle management with operational scalability, reliability, and security standards in cloud environments.