Who are we:
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 an Associate 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.
What you will do:
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