AI/ML Architect – Generative AI

6 hours ago

Chennai, Tamil Nadu, India IT Services Company Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Location:
Chennai | Hyderabad

Experience:
4–7 years

Notice Period:
Immediate Joiner

About the Role

We are seeking an
AI/ML Architect
with strong expertise in
Generative AI, LLMs, and Data Science
. You will be responsible for developing scalable, production-grade Generative AI solutions, designing frameworks for LLM-based applications, and operationalizing AI systems using modern MLOps practices.

Key Responsibilities

  • Generative AI Development:
    Build and test agentic and non-agentic AI solutions using LangGraph, Autogen, or CrewAI.
  • LLM Solutions:
    Apply advanced RAG, RLHF, and prompt engineering techniques to design intelligent solutions.
  • Data & Model Ops:
    Develop pipelines for data preprocessing, prompt management, caching, and validation.
  • Solution Design:
    Architect end-to-end Generative AI solutions for enterprise use cases across support, sales, digital, chat, and voice.
  • Prototyping:
    Develop scalable prototypes of LLM/NLP systems critical to business operations.
  • Research & Innovation:
    Apply state-of-the-art LLM techniques to analyze large unstructured datasets.
  • Deployment:
    Operationalize solutions using
    LLMOps
    with cloud deployment on AWS, GCP, or Azure.
  • Collaboration:
    Partner with business and process experts to design AI-driven solutions.

Required Qualifications

  • Minimum 4 years of experience in
    Data Science, LLM, or Generative AI
    .
  • Master's degree in Computer Science, AI, or a related field (preferred).
  • Proven experience delivering
    LLM solutions
    to real-world business problems.
  • Proficiency in
    Python, Jupyter Notebooks,
    .
  • Experience with
    LangChain, LangGraph, RAG pipelines, and vector databases
    .
  • Hands-on expertise with
    NLP, Transformers, Neural Networks, and embedding models
    .
  • Familiarity with
    LLM frameworks
    (OpenAI, Gemini, Vertex AI, Mistral, LLaMA, etc.).
  • Strong communication skills with the ability to explain technical concepts to non-technical audiences.

Nice to Have

  • Experience with
    Docker, Agile methodologies
    , and cloud deployments (AWS/GCP).
  • Exposure to
    automation, AI-driven operations, and success measurement frameworks
    .
  • Ability to research and recommend
    best practices for scalable AI/ML systems
    .

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