Architect (AIML)

10 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Title : AIML GENAI Architect

Years of Exp : 10 Years

Location : Pune/ Indore/ Kolkata/ Bangalore

NP : Immediate Joiner


Key Responsibilities

  • Design and lead the implementation of end-to-end, high-performance Generative AI architectures, focusing on scalability, cost-efficiency, and resilience.
  • Architect and optimize

    Retrieval-Augmented Generation (RAG)

    pipelines for enterprise-specific knowledge bases, including vector store integration, indexing, and retrieval optimization.
  • Design and implement complex, multi-step

    Agentic AI

    systems and sophisticated conversational flows using frameworks like

    LangChain

    and

    LangGraph

    .
  • Establish robust MLOps and GenAI-Ops practices, integrating observability and evaluation tools such as

    LangSmith

    ,

    Phoenix

    , or

    Langfuse

    to monitor model performance, latency, cost, and drift in production.
  • Define and implement LLM evaluation methodologies, utilizing tools like

    Ragas

    to quantitatively assess the quality (e.g., faithfulness, answer relevance, context adherence) of RAG and Agentic AI applications.
  • Continuously evaluate new LLMs, foundation models, open-source frameworks, and emerging GenAI technologies to recommend and integrate the best-fit solutions.
  • Work closely with Data Scientists, ML Engineers, and business stakeholders to translate complex business problems into technical AI/ML roadmaps and provide technical guidance to development teams.
  • Leverage a strong background in

    ML/NLP

    to advise on and implement techniques for prompt engineering, model fine-tuning (e.g., LoRA, QLoRA), and advanced text processing.
  • Be part of Technical Presales, Proposals and RFP response teams.


Qualifications

  • BE/BTech with

    10-15 years of progressive experience in software engineering, data science, or ML engineering roles.
  • Minimum of 5 years of dedicated experience in developing and deploying Artificial Intelligence and Machine Learning solutions.

Mandatory Technical Skills

  • Proven experience architecting and shipping production-grade GenAI applications.
  • Deep, hands-on expertise in designing and optimizing

    Retrieval-Augmented Generation (RAG)

    systems.
  • Expert-level proficiency with

    LangChain

    and

    LangGraph

    for building complex LLM chains, tools, and stateful agent workflows.
  • Demonstrated experience in building and deploying multi-tool, reasoning-based

    Agentic AI

    systems.
  • Hands-on experience with GenAI-specific observability and evaluation platforms like

    LangSmith

    ,

    Phoenix

    , or

    Langfuse

    .
  • Practical knowledge and experience using LLM evaluation frameworks, specifically

    Ragas

    , for quality assessment.
  • High proficiency in Python and relevant data science libraries (e.g., PyTorch, TensorFlow, Hugging Face).
  • Experience with cloud platforms (AWS, Azure, or GCP) and MLOps tools (e.g., Kubernetes, Docker) for scalable model deployment.

Soft Skills

  • Excellent written and verbal communication skills

    , with the ability to clearly articulate complex technical concepts to both technical and non-technical audiences.
  • Demonstrated ability to lead technical initiatives, influence architectural decisions, and mentor junior and senior engineers.

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