AI & Automation Engineer

About the Role

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.

Reporting to: AI & Intelligent Automation Architect

Location: Hyderabad, India

Role Profile Experience: 0–2 years / Fresh Graduate

Function: AI Centre of Excellence

Role: AI & Automation Engineer

Primary Focus: AI/GenAI + ML + Intelligent Automation + Cloud + Python + APIs

Key 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.
• Integrate AI capabilities with enterprise applications, data sources, and automation platforms.
• 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.
• Intelligent Automation
• 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.
• Engineering & 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.
• 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.
• Stakeholders: GBS leadership, functional leaders, Group AI, IT, enterprise architecture, transformation teams, platform owners, and business process owners.

Requirements & Tech Stack

• 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.

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.