Senior Data Scientist Agentic AI And Workflow Automation Dear Candidate Greetings from3 Kubed Consulting India Pvt Ltd We are seeking a highly skilled and experienced Senior Data Scientist Agentic AI Workflow Automation for one of our prestigious clients for BANGALORE location The JD is as below EXP 7 TO 12 years REL EXP 2 YRS Location BANGALORE NP Immediate max 30 days Interview 2 3 virtual rounds Work mode WFO HYBRID Employment Mode PMT FTE WITH CLIENT NO THIRD PARTY Location Bangalore Experience 712 years Job Overview The Senior Data Scientist Agentic AI Workflow Automation will spearhead the development of intelligent agent systems and orchestrated workflows This role focuses on designing building and deploying autonomous AI agents that drive business automation and operational excellence through cuttingedge Generative AI and LLM technologies Primary Responsibilities Agentic AI Automation Design develop and deploy multiagent systems and agentic applications using frameworks like AutoGen LangGraph CrewAI or similar Build intelligent workflow orchestration systems that enable autonomous decisionmaking and task execution Implement AgenttoAgent A2A communication protocols and Model Context Protocol MCP for seamless agent collaboration Develop automation solutions using OpenAPI standards for integration with enterprise systems Create selfhealing adaptive workflows that optimize business processes autonomously Generative AI LLM Solutions Use ML deep learning and Generative AI tools to design evangelize and implement stateoftheart solutions Define and implement best practices for building testing and deploying scalable AI solutions with a focus on generative models and LLMs using proprietary or opensource models Drive successful business outcomes by designing and building cloudhosted Generative AI solutions Technical Implementation Work closely with internal teams to integrate RAG workflows agentbased systems and automation frameworks into applications Design and implement architectural solutions for Information Retrieval using RAG Vector DBs and Knowledge Graphs Work with public cloud AWS and onpremises infrastructure for deploying LLMs agents and orchestration systems Evaluate build and finetune ML models and LLMs to solve complex business problems Stay abreast of latest developments in agentic AI autonomous systems language models and generative AI technologies Must Have Education Exp BE Masters or Ph D in Computer Science Artificial Intelligence Machine Learning or equivalent practical experience 7 years of overall technical experience with 23 years of handson experience in Generative AI and LLM technologies 1 years of experience building agentic systems workflow automation or autonomous AI applications Agentic AI Workflow Expertise Deep handson exp with agentic frameworks AutoGen LangGraph CrewAI Agency Swarm or similar Strong knowledge of workflow orchestration tools and patterns Temporal Airflow Prefect or similar Expertise in standards AgenttoAgent A2A protocols and Model Context Protocol MCP Experience designing multiagent architectures with memory planning and tooluse capabilities Knowledge of agent evaluation testing frameworks and observability patterns LLM Generative AI Proven track record of deploying and optimizing LLM models for inference in production environments Extensive exp with LLM orchestration frameworks LangChain LlamaIndex required Handson exp with Amazon OpenAPI Bedrock SageMaker JumpStart and other cloudbased LLM platforms Expertise in RAG architectures Finetuning techniques and Prompt Engineering Deep understanding of Vector Databases Pinecone Weaviate Milvus ChromaDB and Knowledge Graphs ML DL Foundations Expert in NLP techniques and deep learning libraries Transformer models LSTM BiLSTM CNN BERT GPT T5 Proficiency with ML frameworks TensorFlow PyTorch Hugging Face Transformers scikitlearn Solid programming skills in Python required plus JavaScript TypeScript or Node js Deep understanding of data structures algorithms and system design patterns MLOps LLMOps Handson exp in MLOps LLMOps including data pipelines model training refinement validation drift management and serving Exp with containerization Docker Kubernetes and CI CD pipelines for ML systems Knowledge of monitoring logging and observability tools for production AI systems Nice to Have Exp with function calling tool use and external API integration in agent systems Knowledge of reinforcement learning and agent training methodologies Familiarity with semantic reasoning planning algorithms ReAct ChainofThought TreeofThoughts Experience with graph databases Neo4j Neptune and ontology design Contributions to opensource AI ML projects Publications or patents in AI ML domain With regards Naganarasimhan For 3 Kubed Consulting India Pvt Ltd

📌 Senior Data Scientist Agentic AI And Workflow Automation (Bengaluru)
🏢 3 KUBED CONSULTING INDIA PRIVATE
📍 Bengaluru