Senior AI-Native Java Engineer: Lead AI-Powered SDLC

parsionate

Amsterdam

On-site

EUR 90,000 - 120,000

Full time

4 days ago
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Job summary

Accenture Netherlands is seeking a Senior AI-Native Java Engineer with around 7 years of experience to reinvent enterprise software delivery. You will design and build enterprise-scale Java applications using Spring Boot, microservices, and cloud technologies, while advancing AI-Augmented SDLC practices.

You will mentor teams, collaborate with architects and AI engineers, and drive adoption of AI-powered approaches, including LLMs, AI agents, RAG, and API-first engineering.

Qualifications

  • 7+ years of backend Java development experience
  • Experience delivering enterprise-scale applications
  • Proficiency with Spring Boot, microservices and cloud tech
  • Strong understanding of AI-powered software delivery practices

Responsibilities

  • Design and develop enterprise-scale applications using Java, Spring Boot, Microservices, and Cloud technologies.
  • Drive adoption of AI-Augmented SDLC practices across the software development lifecycle.
  • Build AI-powered solutions leveraging LLMs, AI agents, Retrieval-Augmented Generation (RAG), and intelligent automation.
  • Implement API-first engineering with OpenAPI and AsyncAPI.
  • Collaborate with architects, AI engineers, consultants, and client teams to deliver innovative business solutions.
  • Mentor engineering teams and establish best practices for AI-Native Engineering.

Skills

Java
Spring Boot
Microservices
Cloud technologies
AI-Augmented SDLC
API-first engineering

Tools

OpenAPI
AsyncAPI
LLMs
RAG

Job description

Accenture Netherlands is seeking a Senior AI-Native Java Engineer with around 7 years of experience to reinvent enterprise software delivery. You will design and build enterprise-scale Java applications using Spring Boot, microservices, and cloud technologies, while advancing AI-Augmented SDLC practices.

You will mentor teams, collaborate with architects and AI engineers, and drive adoption of AI-powered approaches, including LLMs, AI agents, RAG, and API-first engineering.

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