Senior AI Engineer

About the job

Role Summary: We are looking for a Senior AI Engineer to design and deliver enterprise-scale AI and Generative AI solutions using advanced analytics, Machine Learning, and Large Language Models (LLMs). The role involves working with Azure OpenAI, Claude, and cloud-native data platforms to build impactful solutions, primarily in the healthcare domain. Experience Required: Minimum 6–10+ years of experience in Data Science / AI Engineering. Must-Have Skills: - experience in large enterprise or MNC environments. - Generative AI and RAG architecture expertise. - Prompt engineering and agent orchestration. - EDA, data preparation, and machine learning. - Python for end-to-end pipelines. - Git-based version control. - Streamlit or Dash application development. - Azure Cognitive Services. - Snowflake or Databricks for scalable data ingestion, transformation, and analytics. - Strong communication and stakeholder management skills. Key Responsibilities: - Lead AI and data science projects from requirement gathering to production deployment. - Perform Exploratory Data Analysis (EDA) and statistical analysis to generate insights. - Build and deploy Generative AI applications using RAG architectures. - Develop document automation and intelligent retrieval pipelines. - Work with LLMs (GPT, Claude, Llama) for enterprise use cases. - Build interactive apps and dashboards using Streamlit or Dash. - Collaborate with cross-functional and global teams. - Maintain production-ready code using Python and Git. - Work on cloud data platforms such as Snowflake or Databricks.