WHO WE ARE

At Maersk, we are redefining global logistics through data, platform engineering, and AI-driven innovation. As part of this journey, we are building scalable platforms and intelligent systems that enable faster decision-making, operational efficiency, and seamless integration across the enterprise.

The Position

As a SoftwareEngineer,AI& Data, you will design, build, and scale data and AI-driven applications that power critical business capabilities. You will work at the intersection of data engineering, platform development, and agentic AI, contributing to end-to-end solution delivery,from data pipelines to intelligent applicationsenabling self-service analytics and AI-driven decision-making across the enterprise.

Key Responsibilities

AI, Agentic AI & Application Development

• Design and build AI-powered and agentic AI applications, leveraging modern frameworks and enterprise AI platforms

• Develop intelligent workflows using AI agents to automate business processes and decision-making

• Contribute to end-to-end AI application development, including APIs, backend services, and user-facing integrations

Data Engineering & Analytics Enablement

• Build scalable data pipelines and data products to support AI and analytics use cases

• Enable self-service data access and reporting, ensuring governed and reliable data consumption

• Contribute to integrated data foundations enabling cross-platform use cases (e.g., end-to-end visibility)

Software Engineering & Platform Development

• Develop scalable, secure backend services and APIs to support AI and data applications

• Follow modern engineering practices including CI/CD, DevOps, testing, and observability

• Contribute to reusable platform components and shared capabilities

Cross-Functional Delivery

• Work with Product, Data, Platform, and AI teams to deliver end-to-end solutions

• Contribute to architecture discussions and ensure alignment with enterprise standards

• Support integrations across SAP and non-SAP ecosystems

Operational Excellence

• Ensure solutions are reliable, scalable, and production-ready

• Monitor, troubleshoot, and continuously improve platform performance

• Drive automation, observability, and supportability of AI and data solutions

Our Ideal Candidate

• Strong software engineering experience with focus on backend, data, or platform development

• Hands-on experience building AI/ML or agentic AI-based applications

• Solid understanding of data engineering, data pipelines, and analytics use cases

• Familiarity with cloud platforms (Azure preferred) and distributed systems

• Strong problem-solving skills with ownership mindset and ability to work across teams

Required Skills/Experience

• BEor BTechin a Computer Science or a science/engineering discipline.

• 2–5 years of experience in software engineering or data engineering

• Proficiency in Python, Java, or similar programming languages

• Experience with SQL and basic data pipelines / ETL processes

• Understanding of APIs, microservices, and backend development

• Exposure to cloud platforms and DevOps practices

• Basic knowledge of AI/ML or interest in building AI-driven solutions