Software Engineer - AI

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.

Team/Opportunity:

As a Software Engineer, 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 applications enabling 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:

• BE or B Tech in 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

Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.

We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing [email protected].