[Only 24h Left] Agentic AI Architect

2 days ago

Solāpur, 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 Days Role Overview We are looking for a highly skilled Agentic AI Architect with deep expertise in Generative AI, Deep Learning, and NLP, along with hands-on experience deploying ISG Agentic frameworks. The ideal candidate combines strong technical depth with client-facing consulting experience. This role involves designing, architecting, and deploying Agentic AI systems, LLM-driven solutions, and autonomous reasoning workflows to 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 deploy ISG Agentic systems enabling intelligent, autonomous, and multi-agent workflows. - Design and implement Retrieval-Augmented Generation (RAG) pipelines for contextual knowledge retrieval and response enhancement. - Utilize frameworks such as LangGraph, LangChain, AutoGen, or custom multi-agent systems to enable decision automation and reasoning. - Apply prompt engineering techniques to refine LLM performance and ensure response precision. - Develop and fine-tune Deep Learning and NLP models for use cases including summarization, entity extraction, Q&A, and conversational AI. - Integrate Generative and Agentic AI solutions seamlessly into enterprise ecosystems. - Create transparent, 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 in LLMs, Agentic AI, multimodal learning, and autonomous AI research. Required Skills & Qualifications - 4-7 years of hands-on experience in AI/ML, NLP, Deep Learning, and Generative AI projects. - Proven client-facing experience with strong communication and presentation skills. - Mandatory: Practical deployment experience with ISG Agentic frameworks or agentic AI architectures. - Proficiency in RAG design and implementation using frameworks such as LangChain, LangGraph, LlamaIndex, or similar. - Strong programming expertise in Python, with deep familiarity with ML/AI libraries: PyTorch, TensorFlow, Hugging Face, Transformers. - Solid understanding of Deep Learning techniques (CNNs, RNNs, Transformers, Attention Mechanisms, etc.) and model optimization. - Experience with vector databases (e.g., Pinecone, FAISS, Weaviate, Chroma) for knowledge indexing and retrieval. - Exposure to cloud platforms (AWS, Azure, GCP) and scalable deployment pipelines (Docker, Kubernetes, CI/CD). - Strong analytical mindset and structured problem-solving with clear documentation and reasoning. Good to Have - Experience building end-to-end Agentic AI or Generative AI products from POC to production. - Exposure to fine-tuning and optimizing LLMs for domain-specific applications. - Familiarity with multimodal AI, reinforcement learning, or autonomous decision-making systems. - Understanding of data governance, model interpretability, and Responsible AI principles.

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