Generative AI Architect

5 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Remote

Job Type

Full Time

Job Description

Job title: Generative AI Architect

Location: Remote

Type: Full-Time


AI/ML & Generative AI Architect


Job Summary:

AI/ML & Generative AI Architect



Key Responsibilities:

  • Design, develop, and implement

    AI/ML and Generative AI solutions

    across various domains, including prediction systems, recommendation engines, text analytics, computer vision, chatbots, and content intelligence platforms.
  • Build and deploy advanced

    ML models

    using frameworks such as

    TensorFlow, PyTorch, Keras, Spacy

    , and

    scikit-learn

    .
  • Apply deep knowledge of

    statistics, machine learning, NLP, and generative models

    including

    GANs

    and

    transformers

    .
  • Work with

    RAG (Retrieval-Augmented Generation)

    techniques and tools including

    Langchain

    ,

    LlamaIndex

    , and vector databases like

    FAISS

    and

    Milvus

    .
  • Integrate and manage

    LLM APIs and registries

    (e.g., Hugging Face, OpenAI, Google Vertex AI, AWS Bedrock).
  • Build scalable APIs using Python frameworks such as

    Flask, Django, Django Rest Framework

    , or

    FastAPI

    .
  • Collaborate with cross-functional teams to design and implement end-to-end AI pipelines, from data ingestion to model deployment and monitoring.
  • Support the development of

    GenAI use cases, prototypes, and POCs

    tailored to specific industry requirements.
  • Maintain and enhance data infrastructure for collecting, cleaning, and analyzing large-scale datasets.
  • Communicate technical concepts clearly and effectively with both technical and non-technical stakeholders.
  • Engage with clients to understand business needs and deliver customized AI/ML solutions that drive value.
  • Demonstrate innovation in

    Private AI

    and

    Smart Agent Solutions

    , ensuring data privacy and intelligent automation.
  • Stay current with trends and advancements in AI, GenAI, LLMs, and related fields.


Minimum Qualifications:

  • 5+ years of experience using Python

    and relevant packages for ML and data science.
  • 3+ years of experience architecting

    high-impact

    GenAI solutions

    for diverse clients, preferably in

    Private AI and Smart Agentic Solutions

  • 10+ year(s)

    of experience participating in projects that focused on one or more of the following areas:
  • Predictive Analytics
  • Data Integrations
  • System Design and architecture
  • AI/ML
  • ML Ops
  • Strong understanding of

    LLM technologies

    ,

    embedding models

    ,

    cloud-based AI services

    , and

    AI/ML operations

    .
  • Hands-on experience with

    cloud-based AI platforms

    , including

    Azure OpenAI

    ,

    Google Vertex Gen AI

    , and

    AWS AI services

    .


Soft Skills:

  • Strong problem-solving skills and critical thinking.
  • Effective communicator capable of translating complex AI topics to stakeholders.
  • Self-driven, collaborative, and adaptable to fast-paced environments.

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