Principal AI Engineer

Jungheinrich Digital Solutions Spain; Madrid; Presencial; EUR 110.000 - 150.000; Jornada completa

Descripción de la vacante

Jungheinrich Digital Solutions Spain seeks a Principal AI Engineer to own an end-to-end vision of AI systems, translating business needs into scalable technical solutions. The role blends hands-on development with architectural design, focusing on building, automating, and deploying production-grade AI capabilities for e-commerce and rental platforms.

You will design robust AI systems, establish governance and cost controls, and guide multi-step automation through agentic workflows, with

Formación

• Degree in Computer Science, Business Informatics, Data Science, Engineering or equivalent practical experience.
• Proven experience designing and deploying production-grade AI/GenAI systems with real-operation readiness.
• Strong systems thinking across architecture, reliability, security, governance, and operations for AI workloads.
• Ability to lead through influence: reference architectures, standards, reviews, mentoring, and stakeholder alignment.
• Fluent English; willingness to travel for rollout and market enablement.

Responsabilidades

• Build the AI-first foundation for the e-commerce platform (Greenfield).
• Design end-to-end architecture for production-grade AI systems powering a rental platform.
• Architect LLM/agentic RAG and agentic workflow patterns with enterprise-grade quality and reliability.
• Establish governance, safety guardrails, evaluation, monitoring/observability, auditability and cost control for AI in production.
• Build/guide agentic workflows with multi-step automation, tool calling, structured outputs, and human approvals.
• Shape operational building blocks like pricing and fleet logic where AI automation boosts effectiveness.

Conocimientos

Entrepreneurial mindset

Leadership & influence

Problem-solving & analytical

Stakeholder alignment

Cross-functional collaboration

Educación

Bachelor's degree in CS/Engineering or equivalent

Descripción del empleo

Without Jungheinrich your shopping cart would probably remain empty. And it does not stop there! Every day our devices transport millions of goods in logistics centres all over the world.

Our mission at Jungheinrich Digital Solutions Spain is next level intralogistics powered by technology, passion and a great team spirit.

We are an international corporate IT Hub based in the heart of Madrid and develop intelligent warehouse management solutions and process-reliable warehouse automation for our customers to make their lives easier.

About the role:

We are looking for a Principal AI Engineer with an end-to-end vision of AI systems, able to connect business needs with technical solutions. The role combines hands-on development with architectural design, focusing on building, automating, and deploying production-grade AI solutions.

Key Responsibilities:

• Build the AI-first foundation for e-commerce platform (Greenfield):
• Help design the end-to-end architectural structure for production-grade AI systems powering a rental platform (not just prototypes).
• Architect LLM/agentic RAG and agentic workflow patterns (orchestration, tool use, integrations) aligned with enterprise-grade quality and reliability expectations.
• Establish standards for governance, safety guardrails, evaluation, monitoring/observability, auditability and cost control for AI in production.
• Build/guide the implementation of agentic workflows (multi-step automation, tool calling, structured outputs, human approvals).
• Help shape operational building blocks like pricing and fleet logic where AI automation is a lever to boost effectiveness and customer centricity.

Requirements:

• Degree in Computer Science (CS), Business Informatics, Data Science, Engineering — or comparable practical experience. (Great base, but not a must.)
• Proven experience designing and deploying production-grade AI/GenAI systems (not only PoCs), including architecture decisions that stand up in real operations.
• Strong systems thinking across architecture, reliability, security, governance, and operations for AI workloads.
• Ability to lead through influence: reference architectures, standards, reviews, mentoring, and stakeholder alignment
• Working style: Entrepreneurial, structured, hands-on, outcome-driven; comfortable operating in ambiguity and building from scratch.
• Fluent English; willingness to travel as required for rollout and market enablement.

Softskills:

• Decision-making ability
• Problem-solving, analytical, counseling skills
• Interdisciplinary understanding

What do we offer:

• Cross-cultural environment (20 nationalities workingtogether).
• Friendly atmosphere and excellent team spirit.