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Lead Architect

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Onsite

Lead Architect

Birlasoft

Lead Architect

Skills

DockerPythonJavaPyTorchTensorFlowSeleniumMachine LearningAWSKubernetesAzure

15 days ago

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Important information


Location:

Tamil Nadu, India

Work mode:

Onsite

Published on:

11 October 2026

What they need


Country/Region: IN

Requisition ID: 39651

Work Model:

Position Type:

Salary Range:

Location: INDIA - CHENNAI - BIRLASOFT OFFICE

Title: Lead Architect

Description:

Area(s) of responsibility

  • Design and develop automation frameworks for Shift left, no-code/less-code environments.
  • Lead the automation architecture design and implementation using Java, Selenium, and Python.
  • Ensure hands-on involvement in coding and scripting to develop and maintain automation scripts.
  • Collaborate with cross-functional teams to integrate automation solutions into the CI/CD pipeline.
  • Apply design patterns (Factory, Abstract Factory, Command, Builder, Singleton) to create scalable and maintainable automation frameworks.
  • Good understanding of Design principles
  • Provide technical leadership and mentorship to junior automation engineers.
  • Conduct code reviews and ensure adherence to best practices and coding standards.
  • Stay updated with the latest industry trends and advancements in automation technologies.
  • Interface with Business/Engineering and help convert requirements into implementation architectures.
  • Experience designing and implementing generative models and architectures, including RAG, fine-tuning, etc.
  • Programming skills in Python and proficiency with ML frameworks like TensorFlow or PyTorch.
  • Preferred experience with AWS/Azure and its Generative Al capabilities, including containerization technologies; Docker/ Kubernetes
  • Understanding of generative models, such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformer models (e.g., GPT, BERT for text).
  • Ability to work with large datasets, including data cleaning, augmentation, and analysis.
  • Degree in Computer Science, Machine Learning, Al, or related fields.

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