Senior Automation Architect with AgenticAI / GENAI / AI / ML

Empowered By Innovation

Birlasoft, a global leader at the forefront of Cloud, AI, and Digital technologies, seamlessly blends domain expertise with enterprise solutions. The company’s consultative and design-thinking approach empowers societies worldwide, enhancing the efficiency and productivity of businesses. As part of the multibillion-dollar diversified CKA Birla Group, Birlasoft with its 12,000+ professionals, is committed to continuing the Group’s 170-year heritage of building sustainable communities.

Role : Senior Automation Architect with AgenticAI / GenAI / AI / ML

Location : Bangalore, Chennai, Hyderabad

Experience : 15-20 years

Job Summary :

As a Senior Automation Architect with GenAI / AI / ML background, you will play a pivotal role in designing, developing, and implementing advanced automation frameworks. You will leverage your expertise in Java, Selenium, Playwright, and Python to create robust, scalable, and efficient automation solutions. Your deep understanding of Shift left, no-code / less-code frameworks, and design patterns will be crucial in driving our automation strategy forward.

Job Responsibilities :

• 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 on 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.

Minimum requirements (Education Qualification & Work Experience) :

Preferred Qualifications :