AI & Automation Engineer – Automation & Productivity (GBS

The AI & Automation Engineer will be 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.

Working closely with the AI & Intelligent Automation Architect, the role will help convert business use cases into prototypes, POCs and scalable solutions using AI/ML, Generative AI, automation, APIs, cloud and Low-Code/No-Code technologies.

The role is suited to a fresh engineering graduate with strong programming fundamentals, curiosity about AI and automation, and a willingness to work across emerging technologies and business problems.

• 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.

Primary Scope

Role Coverage

Functions

All GBS functions, including Finance, HRSS, IT, Supply Chain, Commercial, Pricing, FP&A, and other shared service areas as applicable.

Capabilities

AI / GenAI, automation, RPA, process mining, Celonis, low-code / no-code, SaaS enablement, analytics, process improvement

Geography

Hyderabad anchor location with scalable playbooks and operating model for all GBS sites.

Stakeholders

GBS leadership, functional leaders, Group AI, IT, enterprise architecture, transformation teams, platform owners, and business process owners.

●        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.

Exposure to one or more of the following will be an advantage:

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

• Successful development of AI/automation POCs and prototypes.
• Conversion of selected POCs into production-ready solutions.
• Quality, reliability and timely delivery of assigned solutions.
• Contribution to reusable AI/automation assets and frameworks.
• Demonstrated learning and adoption of new AI and automation technologies.
• Positive collaboration with the Architect, business and delivery teams.

The ideal candidate is a technically strong engineering graduate who is passionate about AI and automation and enjoys building solutions.

They should be comfortable moving between Python/AI development, cloud technologies, APIs and automation, while working closely with the AI & Intelligent Automation Architect and business teams.

Strong academic projects, internships, hackathons or personal projects demonstrating practical AI/software engineering capability will be considered.