Agentic AI Architect

2 days ago

Pune Maharashtra India, Maharashtra 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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