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About CloudLabs:CloudLabs Inc was founded in 2014 with the mission to provide exceptional IT & Business consulting services at a competitive price, to help clients realize the best value from their investments.Within a short span, CloudLabs evolved from pure-play consulting into a transformative partner for Business Acceleration Advisory, Transformative Application Development & Managed Services - enabling digital transformations, M&A transitions, Automation & Process-driven optimizations & complex Integration initiatives for enterprises across the globe. As a Strategic Planning & Implementation Partner for global companies, CloudLabs has seen a 200% uptake in winning high-value, high-impact and high-risk projects that are critical for the business.With offices in the US, Canada, & India and with the team of 250+ experienced specialists, CloudLabs is now at an inflection point and ready for its next curve of progress.Please write & follow us here:Website: LinkedIn: CloudLabs IncEmail us: What we offer:We welcome candidates rejoining the workforce after career break/parental leave and support their journey to reacclimatize too corporate.Flexible remote work.Competitive pay package.Attractive policy, medical insurance benefits, industry leading training.Opportunity to work remotely is available.Experience Required: Minimum 6–10+ years of experience in Data Science / AI Engineering.Job Location: IndiaJob Type: RemoteRole 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. You will lead AI initiatives end-to-end and collaborate with global stakeholders to translate business problems into scalable AI applications.Must-Have Skills:6–10+ years of experience in Data Science / AI Engineering.Experience in large enterprise or MNC environments.Generative AI and RAG architecture expertise.Prompt engineering and agent orchestration.EDA, data preparation, and machine learning (Clustering, PCA, Trees).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.Nice-to-Have Skills:GenAI frameworks: LangChain, LlamaIndex, CrewAI, OpenAI Agents SDK.NLP use cases such as text classification and sentiment analysis.ReAct or function-calling agent architectures.Healthcare, life sciences, or biotech exposure.Data governance and compliance knowledge.Data visualization and storytelling experience.