Senior Data Scientist - Agentic AI And Workflow AutomationDear 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: 7-12 yearsJob OverviewThe 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 cutting-edge Generative AI and LLM technologies.Primary ResponsibilitiesAgentic AI & Automation:
- Design develop and deploy multi-agent systems and agentic applications using frameworks like AutoGen LangGraph CrewAI or similar
- Build intelligent workflow orchestration systems that enable autonomous decision-making and task execution
- Implement Agent-to-Agent (A2A) communication protocols and Model Context Protocol (MCP) for seamless agent collaboration
- Develop automation solutions using OpenAPI standards for integration with enterprise systems
- Create self-healing adaptive workflows that optimize business processes autonomously

Generative AI & LLM Solutions:
- Use ML deep learning and Generative AI tools to design evangelize and implement state-of-the-art 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 open-source models




- Drive successful business outcomes by designing and building cloud-hosted Generative AI solutions

Technical Implementation:
- Work closely with internal teams to integrate RAG workflows agent-based 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 on-premises infrastructure for deploying LLMs agents and orchestration systems
- Evaluate build and fine-tune 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 HaveEducation & Exp:
- BE Masters or Ph.D. in Computer Science Artificial Intelligence Machine Learning or equivalent practical experience
- 7 years of overall technical experience with 2-3 years of hands-on 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 hands-on exp with agentic frameworks (AutoGen LangGraph CrewAI Agency Swarm or similar)
- Solid knowledge of workflow orchestration tools and patterns (Temporal Airflow Prefect or similar)
- Expertise in standards Agent-to-Agent (A2A) protocols and Model Context Protocol (MCP)
- Experience designing multi-agent architectures with memory planning and tool-use 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)
- Hands-on exp with Amazon OpenAPI Bedrock SageMaker JumpStart and other cloud-based LLM platforms
- Expertise in RAG architectures Fine-tuning 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 scikit-learn
- Strong programming skills in Python (required) plus JavaScript/TypeScript or Node.js
- Deep understanding of data structures algorithms and system design patterns

MLOps/LLMOps:
- Hands-on 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 Chain-of-Thought Tree-of-Thoughts)
- Experience with graph databases (Neo4j Neptune) and ontology design
- Contributions to open-source AI/ML projects
- Publications or patents in AI/ML domain

With regards,NaganarasimhanFor 3 Kubed Consulting India Pvt Ltd

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