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Senior Architect- Gen AI

5 years

0 Lacs

Chennai Tamil Nadu India

Posted:1 month ago| Platform: Linkedin logo

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Skills Required

ai data design support learning ml training scalability latency strategies security compliance prototype engineering architecture openai tuning apache spark hadoop database sql nosql aws azure gcp sagemaker vertex model programming communication api

Work Mode

On-site

Job Type

Full Time

Job Description

Key Responsibilities

As a Data Architect with Generative AI expertise, you will:

  • Design and implement

    robust data architectures that support AI and machine learning (ML) workloads, including Generative AI applications.
  • Develop and optimize

    data pipelines

    for training, validating, and deploying AI models efficiently and securely.

  • Integrate AI frameworks

    into data platforms, ensuring scalability, low latency, and high throughput.

  • Collaborate

    with data scientists, AI engineers, and stakeholders to align data strategies with business goals.
  • Lead initiatives to ensure

    data governance

    , security, and compliance standards (e.g., GDPR, CCPA) are met in AI-driven environments.

  • Prototype and implement

    architectures that utilize generative models (e.g., GPT, Stable Diffusion) to enhance business processes.
  • Stay up to date with the latest trends in Generative AI, data engineering, and cloud technologies to recommend and integrate innovations.

Required Qualifications

We’re looking for someone with:

  • A

    bachelor’s degree

    in Computer Science, Data Engineering, or a related field (master’s preferred).

  • 5+ years

    of experience in data architecture, with a focus on AI/ML-enabled systems.
  • Hands-on experience with

    Generative AI models

    (e.g., OpenAI GPT, BERT, or similar), including fine-tuning and deployment.
  • Proficiency in

    data engineering tools and frameworks

    , such as Apache Spark, Hadoop, and Kafka.
  • Deep knowledge of

    database systems

    (SQL, NoSQL) and

    cloud platforms

    (AWS, Azure, GCP), including their AI/ML services (e.g., AWS Sagemaker, Azure ML, GCP Vertex AI).
  • Strong understanding of

    data governance

    ,

    MLOps

    , and

    AI model lifecycle management

    .
  • Experience with programming languages such as

    Python

    or

    R

    and frameworks like

    TensorFlow

    or

    PyTorch

    .
  • Excellent problem-solving and

    communication skills

    , with a demonstrated ability to lead cross-functional teams.

Preferred Skills

  • Familiarity with

    LLM fine-tuning

    ,

    prompt engineering

    , and

    embedding models

    .
  • Strong domain expertise in Life Science Industry
  • Experience integrating generative AI solutions into production-level applications.
  • Knowledge of

    vector databases

    (e.g., Pinecone, Weaviate) for storing and retrieving embeddings.
  • Expertise in

    APIs for AI models

    , such as OpenAI API or Hugging Face Transformers.

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