Senior AI-Native Java Engineer: AI-Driven SDLC & Cloud

Accenture the Netherlands

Amsterdam

Hybrid

EUR 120,000 - 150,000

Full time

2 hours ago
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Benefits offered by this job

4x9 Workweek Option
Hybrid Working
Annual Bonus
Learning & Development Platform
MyBenefits Budget
Employee Share Purchase Plan
Health Insurance
Flexible Time Off
Mobility Budget

Job summary

Accenture Netherlands is seeking a Senior AI-Native Java Engineer with around 7 years of experience to lead AI-enabled software delivery initiatives. You will design, build, and scale enterprise applications using Java, Spring Boot, and modern cloud architectures while embedding AI-Augmented SDLC concepts across teams.

You will mentor engineers, collaborate with architects and client teams, and help define best practices for AI-Native Engineering.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Software Engineering, AI, or related field.
  • Around 7 years of professional software engineering experience.
  • Strong Java, Spring Boot, microservices and API-first mindset.

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, RAG, and intelligent automation.

Skills

Java
Spring Boot
Microservices
REST APIs
Cloud
DevOps
CI/CD
GitOps
API-First
Spec-Driven Development
AI Augmented SDLC
LLMs
AI Agents
RAG
AI Tooling
Leadership

Education

Bachelor's or Master's in Computer Science/Software Engineering/AI

Tools

OpenAPI
AsyncAPI
Kubernetes
Git

Job description

Accenture Netherlands is seeking a Senior AI-Native Java Engineer with around 7 years of experience to lead AI-enabled software delivery initiatives. You will design, build, and scale enterprise applications using Java, Spring Boot, and modern cloud architectures while embedding AI-Augmented SDLC concepts across teams.

You will mentor engineers, collaborate with architects and client teams, and help define best practices for AI-Native Engineering.

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