Senior AI-Native Java Engineer

Lead with expertise, drive innovation.

Are you an experienced software engineer ready to help reinvent the future of application development? At Accenture Netherlands, we're looking for a Senior AI-Native Java Engineer with around 7 years of experience who combines strong Java engineering expertise with a passion for AI-Augmented Software Delivery, Agentic Engineering, and modern development practices.

As part of our Technology practice, you will help clients transform traditional software engineering into AI-powered, high-performing delivery organizations.

What you'll do:

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 Spec-Driven Development using OpenAPI, AsyncAPI, and API-first engineering methodologies.

Collaborate with architects, AI engineers, consultants, and client teams to deliver innovative business solutions.

Mentor engineering teams and help establish best practices for AI-Native Engineering.

How We Reinvent

This role falls within Digital Core, where we help clients modernize their technology foundations and accelerate business transformation through cloud, data, software engineering, and AI.

You will join multidisciplinary teams consisting of software engineers, architects, AI specialists, platform engineers, and business consultants. Together, we help organizations reinvent how software is designed, built, tested, deployed, and operated through the power of AI.

We go to market by industry, leveraging our global delivery network and strategic ecosystem partnerships with Microsoft, AWS, Google, and leading AI technology providers.

What we're looking for

Education: Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.

Experience: Approximately 7 years of professional software engineering experience.

Technical Skills:

Java 17+, Spring Boot, Microservices, REST APIs

Cloud platforms (Azure, AWS, or Google Cloud)

DevOps, CI/CD, GitOps, and Platform Engineering

Distributed systems and modern software architecture

API-First and Spec-Driven Development

AI Engineering Experience:

AI-Augmented SDLC

Generative AI and LLM-based solutions

AI Agents and Agentic Workflows

RAG and modern AI application architectures

AI-powered developer tooling and engineering productivity platforms

Leadership:

Strong communication skills, technical leadership, growth mindset, and a passion for continuous innovation.

Dutch language skills are a strong advantage , as many of our engagements involve close collaboration with Dutch-speaking clients and stakeholders.

Bonus points for

Experience with Model Context Protocol (MCP)

Experience with AI governance and Responsible AI

Knowledge of vector databases and knowledge retrieval architectures

Experience with Internal Developer Platforms (IDPs)

Contributions to open-source projects or engineering communities

What we offer

Work-Life Flexibility: 4x9 Workweek Option, Hybrid Working, FlexDay

Financial Well-being: Competitive Base Salary, MyBenefits Budget, Annual Bonus, Net Allowance, Employee Share Purchase Plan

Health & Wellness: Collective Health Insurance Scheme, Mental Health Support, Well-being Hub

Time Off & Leave: 26 Vacation Days, Special Leave Types, Culture Days

Mobility & Commuting: NS Business Card, Mobility Budget

Career Development: Performance Achievement Program, Learning & Development Platform, Industry-Leading AI Certifications and Training

Inclusion, Diversity & Social Impact: Do Good Volunteer Program, I&D Networks, Refugee Talent Track

Culture & Community: Accentrics & Friday Drinks, Annual Accenture NL Party, Flat Organizational Hierarchy

Ready to help reinvent software engineering?

Join Accenture Netherlands and become part of a new generation of engineers leveraging AI, automation, and modern engineering practices to create the intelligent systems of tomorrow.

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