Agentic AI Architect

3 weeks ago


New Delhi, India Philodesign Technologies Inc Full time

Position:Agentic AI Architect (Data Scientist – Generative AI & Deep Learning) Experience:4–7 Years Location:Pune (Hybrid – Viman Nagar) / Remote Notice Period:Immediate to 10 DaysRole Overview We are looking for a highly skilledAgentic AI Architectwith deep expertise inGenerative AI, Deep Learning, and NLP , along with hands-on experience deployingISG Agentic frameworks . The ideal candidate combines strong technical depth with client-facing consulting experience. This role involves designing, architecting, and deployingAgentic AI systems, LLM-driven solutions, and autonomous reasoning workflowsto address complex business problems and drive innovation.Key Responsibilities Partner with clients to understand business objectives and translate them into scalable AI/ML solutions. Architect and deployISG Agentic systemsenabling intelligent, autonomous, and multi-agent workflows. Design and implementRetrieval-Augmented Generation (RAG)pipelines for contextual knowledge retrieval and response enhancement. Utilize frameworks such asLangGraph, LangChain, AutoGen , or custom multi-agent systems to enable decision automation and reasoning. Applyprompt engineeringtechniques to refine LLM performance and ensure response precision. Develop and fine-tuneDeep LearningandNLPmodels for use cases including summarization, entity extraction, Q&A, and conversational AI. IntegrateGenerative and Agentic AI solutionsseamlessly into enterprise ecosystems. Createtransparent, structured reasoning workflows (chain-of-thought logic)to support explainability and auditability. Collaborate with cross-functional teams to ensure scalability, performance, and readiness for production deployment. Stay current with advancements inLLMs, Agentic AI, multimodal learning, and autonomous AI research. Required Skills & Qualifications 4–7 years of hands-on experience inAI/ML, NLP, Deep Learning, and Generative AIprojects. Provenclient-facing experiencewith strong communication and presentation skills. Mandatory:Practical deployment experience withISG Agentic frameworksor agentic AI architectures. Proficiency inRAG design and implementationusing frameworks such as LangChain, LangGraph, LlamaIndex, or similar. Strong programming expertise inPython , with deep familiarity with ML/AI libraries:PyTorch, TensorFlow, Hugging Face, Transformers. Solid understanding ofDeep Learning techniques(CNNs, RNNs, Transformers, Attention Mechanisms, etc.) and model optimization. Experience withvector databases(e.g., Pinecone, FAISS, Weaviate, Chroma) for knowledge indexing and retrieval. Exposure tocloud platforms(AWS, Azure, GCP) andscalable deployment pipelines(Docker, Kubernetes, CI/CD). Strong analytical mindset and structured problem-solving with clear documentation and reasoning. Good to Have Experience buildingend-to-end Agentic AI or Generative AI productsfrom POC to production. Exposure tofine-tuning and optimizing LLMsfor domain-specific applications. Familiarity withmultimodal AI, reinforcement learning , orautonomous decision-making systems. Understanding ofdata governance, model interpretability , andResponsible AI principles.



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