AI Forward Deployed Engineer

As part of the global NTT DATA Group, one of the top 5 IT service providers worldwide, we specialize in value-added SAP solutions. At NTT DATA Business Solutions, our focus is SAP Consulting, SAP Development, Managed Cloud Services, and Application Management Services (AMS) & Technology. Across the globe, we support customers in their digital transformation from start to finish.

 OUR RECIPE FOR SUCCESS: DIVERSITY, OPENNESS, RESPECT, AND TOGETHERNESS.

With more than 13,000 employees from 64 nations in over 29 countries, our diverse workforce reflects our values. People are and will always be vital to our mission, playing a decisive role in everything we do.

ARE YOU READY TO BREAK NEW GROUND?

Location: Serbia, Belgrade

1. What makes us special:

• Team-oriented corporate culture, collaboration as equals and steady knowledge transfer
• Diversity & Inclusion (e.g. various initiatives & communities)
• Inhouse Academy with a variety of professional technical training, soft skills training, SAP Learning Hub and certification opportunities
• Company benefits (Generali Private Health Insurance, FitPass, 24 days Annual paid leave)
• Working from home with the option of a great located office space at New Belgrade

At NTT DATA Business Solutions OOD Ogranak Beograd, we're seeking dedicated AI Forward Deployed Engineer to help turn real business and service challenges into working AI solutions. 

Dive into the heart of digital transformation and become a part of our journey towards innovation and growth.

This role sits at the intersection of AI engineering, full-stack development, and enterprise service operations. You will work directly with internal teams and selected customer teams to identify practical AI use cases, build production-grade MVPs, validate them with real users and real data, and prepare successful solutions for handover into delivery or production teams. 
 
This is not a research or strategy-only role. It is a build-and-prove role for someone who wants to stay close to users, close to the code, and close to measurable impact. 

2. What you will do 

• Work directly with internal teams and selected customer teams to understand real operational problems. 
• Translate business and service challenges into AI-enabled solution designs. 
• Build production-grade MVPs that can be tested with real users and real data. 
• Develop data ingestion and processing pipelines. 
• Build and optimize RAG components, retrieval strategies, embeddings, prompts, and grounding logic. 
• Implement AI output evaluation and quality monitoring. 
• Build front-end applications, backend services, APIs, and data models. 
• Integrate authentication, authorization, and access control. 
• Connect applications to AI services, enterprise systems, and workflows. 
• Create reusable patterns, components, and documentation for future use cases. 
• Prepare solutions for handover to delivery or production teams. 

3. What you bring 

• Strong software engineering fundamentals. 
• Experience with Python, TypeScript, JavaScript, or similar languages. 
• Front-end, backend, API, and database development experience. 
• Understanding of authentication and access management. 
• Practical experience with LLM APIs, RAG frameworks, embeddings, and vector databases. 
• Understanding of prompt engineering, context engineering, and grounding. 
• Experience with document processing or document intelligence services. 
• Understanding of AI evaluation frameworks and quality monitoring. 
• Ability to learn SAP, ServiceNow, ITSM, and application management concepts quickly. 
• Ability to communicate clearly with technical, operational, and customer stakeholders. 

4. The type of person we are looking for 

You are technically strong, curious, pragmatic, and action-oriented. You are more interested in building than presenting, and you are comfortable owning a use case end to end — from problem discovery to working MVP. 
You do not need to arrive as a SAP or ServiceNow expert. You do need to arrive as a strong engineer with practical AI skills, ownership mindset, and the ability to learn unfamiliar enterprise domains quickly. 

5. Example use cases 

• AI-based ticket triage. 
• Ticket summarization and classification. 
• Agentic AI for ticket resolution support. 
• Transition Intelligence using customer tickets and documentation. 
• Knowledge extraction from historical tickets and service documents. 
• AI-supported root cause analysis. 
• ServiceNow-integrated AI workflows. 
• AI copilots for managed services engineers. 
• Front-end tools for reviewing and acting on AI recommendations. 

6. Success in this role

Success will be measured by shipped use cases and measurable operational impact — including validated MVPs, solutions moved into live use, reduced manual effort, improved ticket handling, better service quality, stronger AI output reliability, and reusable assets created for future use cases. 

7. What we offer 

• A flexible work-from-home setup that supports focus, autonomy, and work-life balance. 
• Private health insurance for added peace of mind. 
• A fitness allowance to support your wellbeing and energy. 
• The opportunity to work on high-impact AI use cases with real enterprise relevance. 
• A role with visibility, ownership, and space to grow your AI engineering expertise.