GenAI Developer

At NTT DATA, we are a global community of more than 140,000 professionals across 50+ countries, delivering innovative solutions to industries such as telecommunications, financial services, public sector, and healthcare. We are driven by a passion for technology and foster a culture that supports personalized, merit-based career development.

We are seeking an experienced engineer to design, build, and scale cloud-native and generative AI–driven solutions. The ideal candidate combines strong expertise in Python, scripting, Linux, and public cloud platforms with hands-on experience in AI/ML or GenAI frameworks. You should be a proactive problem solver, comfortable working in agile environments, and passionate about developing intelligent, high-impact systems.

• Design and build AI-driven workflows for document extraction and processing


• Develop and integrate AI pipelines into enterprise applications


• Support scaling of AI capabilities across datasets and use cases


• Ensure alignment with enterprise architecture, data governance, and security standards


• Collaborate with data, platform, and application teams to deliver integrated solutions


• Build and optimise AI pipelines for extraction, transformation, and validation


• Ensure accuracy, quality, and performance of AI outputs


• Implement validation frameworks and tracking for AI model performance


• Deploy AI services through secure APIs into production environments


• Embed QA and governance practices into AI development lifecycle


• Support continuous improvement of AI models and workflows

What you'll bring along

• Bachelor's degree in Computer Science, Business Informatics, Mathematics, or a comparable qualification


• Minimum 5-7 years of experience 


• Experience with AI/ML workflows and document intelligence solutions


• Strong programming skills (Python, APIs, data processing frameworks)


• Experience with cloud-based AI services and scalable architectures


• Understanding of model validation, accuracy, and lifecycle management


• Experience integrating AI into enterprise systems 


• Leverage AI-assisted tools to accelerate development, testing, and optimisation of AI pipelines


• Use AI techniques to improve automation, extraction accuracy, and operational efficiency


• Support broader adoption of AI-assisted engineering practices


• Ensure responsible and secure use of AI technologies in line with enterprise policies


• Continuously explore emerging AI capabilities to enhance delivery outcomes    
  Experience developing and deploying AI or machine learning solutions
  Strong programming and analytical skills
  Understanding of model validation, performance, and governance
  Experience integrating AI into production systems
  Experience working in Agile/DevOps teams