AI & Automation Engineer – Automation & Productivity (GBS

Assists customers to identify their technical specifications and determine what documentation is required to incorporate the organization's products into customer applications | Prepares engineering drawings, production specifications and schedules, and contract modifications to ensure that customers' technical requirements are met | Develops application notes that clearly describe how the organization's products should be used in the customers' target application | Develops test applications used for testing modules, including customer-specific components 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.

Responsibilities

• AI & Automation Development 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.
• 2.
• Use-Case Development 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.
• 3.
• 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.
• 4.
• & Solution Delivery 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.
• 5.
• AI CoE Support 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.
• Scope of Role 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.
• GBS leadership, functional leaders, Group AI, IT, enterprise architecture, transformation teams, platform owners, and business process owners.

Requirements

• 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.
• AI & Intelligent Automation Architect Experience: 0–2 years / Fresh Graduate Location: Hyderabad, India Key Responsibilities 1 .
• Experience and Capabilities ● 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.
• 0–2 years / Fresh Graduate Function: AI Centre of Excellence Role: AI & Automation Engineer Primary Focus: AI/GenAI + ML + Intelligent Automation + Cloud + Python + APIs Ideal Candidate 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.

Preferred

• 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
• Success Criteria 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.