AI & Automation Engineer – Automation & Productivity (GBS

Overview

The AI & Automation Engineer is a hands-on member of the AI Centre of Excellence (AI CoE), supporting the design, development and deployment of AI, intelligent automation and digital solutions across GBS. The role converts business use cases into prototypes, POCs and scalable solutions.

What you'll do

• Build prototypes and POCs using AI/ML, Generative AI, APIs, Python and cloud technologies.
• Develop AI-enabled automation and workflow solutions under the guidance of the Architect.
• Integrate AI capabilities with enterprise applications, data sources and automation platforms.
• Support the identification and assessment of AI and automation opportunities with business teams.
• Translate identified use cases into technical prototypes and MVPs.
• Experiment with emerging AI technologies and assess their potential for GBS use cases.
• Support development of RPA, workflow and Low-Code/No-Code solutions.
• Explore opportunities to combine AI with RPA and workflow automation.
• Help modernize and improve existing automation solutions using Python, AI and cloud technologies.
• Develop, test, document and deploy solutions following CoE engineering and security standards.
• Work with the Architect and delivery teams on integrations, APIs, testing, deployment and production support.
• Troubleshoot issues and continuously improve solution performance and reliability.
• Contribute to reusable AI/automation components, frameworks, documentation and solution assets.
• Support AI experiments, demonstrations and internal knowledge-sharing initiatives.
• Stay current with developments in GenAI, LLMs, AI agents, cloud AI and intelligent automation.

What you'll need

• Bachelor's degree in Computer Science, Information Technology, Engineering or related discipline.
• Strong programming fundamentals with Python and/or another programming language.
• Basic understanding of AI/ML and Generative AI concepts.
• Exposure to LLM APIs, prompt engineering or AI agents through academic or personal projects.
• Understanding of APIs, databases, cloud computing and software development fundamentals.
• Good analytical and problem-solving skills.
• Ability to learn new technologies quickly and work in a fast-paced environment.
• Good communication and collaboration skills.

Nice to have

• Exposure to AWS / Azure / Google Cloud.
• Exposure to LLM APIs and Generative AI.
• Exposure to AI agents / agentic workflows.
• Exposure to Machine Learning and data analytics.
• Exposure to Python-based AI application development.
• Exposure to RPA / workflow automation.
• Exposure to Low-Code/No-Code platforms.
• Exposure to REST APIs and enterprise integrations.
• Exposure to Git and software development practices.
• Exposure to SAP or other enterprise applications.

Details

• Location: Hyderabad, India.
• Reports to the AI & Intelligent Automation Architect.
• Experience: 0–2 years / Fresh Graduate.