Location
In office (Bengaluru)
Seniority
Junior
Visa
Sponsors visas in United States, Ireland, United Kingdom; no register of this country names it
Employment
Full-Time
Removed from the employer's board on Nov 7, 2026. First seen by Alion on Nov 6, 2026. NTT DATA scores A on the Alion truth index.
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NTT DATA is a Tokyo system integrator founded in 1988 that spun out of the data communications arm of NTT. It is one of the largest information technology services firms in the world, building banking, public sector and payment systems and operating global consulting and managed services. The company runs the CAFIS payment network used across Japanese retail and banking.
Backed by Pamlico Capital
We are looking for highly motivated graduate engineers who want to shape the next generation of AI-native software engineering.
As a Graduate AI-Native Engineer / Agentic AI Engineer, you will work closely with our European delivery organization and the Head of AI Enablement, ABD Practice Europe. Your focus will be on developing reusable AI accelerators, engineering assets, reference implementations and Agentic SDLC capabilities that can be used across customer projects and delivery teams.
This is a hands-on engineering role for people who are passionate about technology, learn quickly and enjoy turning new ideas into working software.
Your Tasks
As a Graduate AI-Native Engineer / Agentic AI Engineer, you will work closely with our European delivery organization and the Head of AI Enablement, ABD Practice Europe. Your focus will be on developing reusable AI accelerators, engineering assets, reference implementations and Agentic SDLC capabilities that can be used across customer projects and delivery teams.
This is a hands-on engineering role for people who are passionate about technology, learn quickly and enjoy turning new ideas into working software.
Your Tasks
- Build reusable accelerators for Agentic SDLC and AI-native software development
- Develop AI agents and multi-agent solutions using hyperscaler platforms
- Create prototypes, reference implementations and reusable AI engineering components
- Work on RAG, tool calling, orchestration, evaluation, observability, guardrails and LLMOps
- Experiment with modern coding agents such as GitHub Copilot, Claude Code and OpenAI Codex
- Evaluate emerging AI technologies, models and agent frameworks
- Contribute to cloud-native and enterprise AI architectures
- Collaborate with engineers and architects across India and Europe
- Turn promising technologies into scalable assets for real customer delivery
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