Senior Software Engineer - GenAI presso Maersk

A.P. Moller - Maersk

A.P. Moller – Maersk is the global leader in container shipping services.  The business operates in 130 countries and employs c. 80,000 staff.  An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains.  

We Offer

Joining Maersk will embark you on a transformational journey with great opportunities for career development within a global organization. As a Senior Software Engineer, you will design, engineer and run our capabilities for the Network Automation and Orchestration Tools stack for network and perimeter products and platforms that enable highly distributed global business for site, fleet, asset and IoT connectivity, required to deliver against our strategy. You will be exposed to a wide and challenging range of needs and opportunities requiring you to engage closely with stakeholders across all levels within Maersk  as you mature and evolve our OSS capabilities for Network OSS to become world class.

The Brief

A globally focused shipping and transportation organisation is continuing to drive an ambitious and complex change and transformational programme to deliver a service of excellence for its customers and clients worldwide.  The Global CTIO has a mandate from the Maersk board to lead the Technology transformation of Maersk which will enable the Maersk business strategy to become the global integrator of container logistics through digitising the Maersk business processes and customer engagement.

The Technology Function is fundamental to enable the company’s transformation and in response to this demand, our in-house technological capability is growing exponentially. We are recruiting world class talent to ensure that the technology services are modernised to enable Maersk to become a logistics integrator leveraging a competitive advantage through technology.

Why this job matters?

The Network OSS Engineering function is essential to our transformation, it is a central team within Network Architecture & Engineering, responsible for the delivery of product roadmaps, technical vision and quality across Fulfilment and Assurance that underpin our network and perimeter capabilities and products.

Reporting to the Senior OSS Engineering  Manager you will serve as a Senior Software Engineer, ensuring that our systems and tools for the network OSS realise business value. Your role is responsible for technical design and delivery of solutions across the network OSS applications landscape from Planning to analytics driven AIOps. All built to industry leading standards and running seamlessly across various cloud and on-prem platforms, allowing frictionless and seamless operations of our network and perimeter platforms.

Scope

The Network Operational Intelligence team at Maersk is expanding into AI-driven network operations, focusing on building intelligent, autonomous systems that enhance the management of data networks across Core, Edge, and Cloud locations (offices, warehouses, terminals, vessels, data centres, cloud environments, etc.) and the perimeter services that secure them. This role focuses on leveraging Generative AI, Large Language Models (LLMs), and agentic frameworks to develop next-gen network observability, automation, and decision-making platforms.

Key areas include but are not limited to:

• AI-Augmented Operations: Develop agentic AI solutions using LLMs, LangChain, and vector stores to enable intelligent automation, natural language interfaces, and autonomous troubleshooting across network services.
• Prompt Engineering & Reasoning: Design structured and dynamic prompts, chains, and retrieval-augmented generation (RAG) workflows to enable context-aware responses and insights from large-scale network data.
• Intelligent Tooling & Platform Integration: Build AI-enabled internal tools for use cases like configuration analysis, alert summarization, root cause inference, change impact prediction, and knowledge extraction from telemetry and logs.
• Observability & Insights: Use GenAI to augment monitoring and assurance by generating explanations, recommendations, and summaries from network events, alarms, and metrics.
• Integration with Core Network Stack: Apply AI capabilities across domains such as:
  • Wireless Transport: Satellite | 4G/LTE | 5G
  • IoT Networking: Industrial Wi-Fi
  • WAN: Internet | IP/MPLS | Next-Gen/SD WAN
  • LAN: DC Networking | SDN | Fixed & Wireless
  • Perimeter: Load balancers | NG Firewalls | Security Service Edge

This role is at the intersection of networks and intelligence, aiming to transform Maersk's OSS ecosystem through LLM-based platforms that are autonomous, explainable, and user-friendly.

Specific Job Requirements

Product mindset and passion for building AI-driven solutions that transform how Maersk manages, operates, and understands global network infrastructure. This role focuses on applying Large Language Models (LLMs), Generative AI, and agent-based architectures to develop intelligent tooling for observability, automation, and assurance across Core, Edge, and Cloud environments.

The role holder will demonstrate deep expertise in applied AI engineering, especially in building LLM-based platforms, with a strong understanding of modern software development practices and infrastructure integration.

They will possess:

• Hands-on experience with LLMs: Proven experience working with foundation models (e.g., OpenAI, Claude, LLaMA, Mistral) for building AI-driven applications.
• Proficiency in LangChain or similar orchestration frameworks: Ability to design agents, chains, tools, and memory/retrieval modules for intelligent, context-aware workflows.
• Prompt Engineering & RAG Design: Experience designing structured prompts, embedding models, vector stores (e.g., FAISS, Chroma, Weaviate), and Retrieval-Augmented Generation systems.
• AI-Integrated Application Development: Ability to build Python-based applications that integrate LLMs with APIs, databases, and monitoring tools in a secure and performant way.
• Agentic AI Systems: Demonstrated capability in designing autonomous or semi-autonomous AI agents that perform multi-step reasoning, tool usage, and state management.
• MLOps & Deployment: Familiarity with containerizing and deploying AI workloads using Docker and CI/CD pipelines. Experience with GPU workloads and API gateways is a plus.
• Security & Governance: Understanding of data privacy, role-based access, and ethical concerns when deploying LLM-based systems at enterprise scale.

In this role, you will:

• Collaborate closely with Network SMEs, Product Owners, and Engineers to identify AI opportunities in telemetry analysis, event correlation, configuration analysis, and operational summarization.
• Build GenAI-powered tools to enhance observability, enable root cause analysis, and provide intelligent insights through natural language interfaces.
• Architect and deploy agent-based systems that integrate with network management platforms and decision-support systems.
• Lead the design and implementation of prompt flows, vector-based search, and retrieval pipelines to contextualize large-scale telemetry and logs.
• Enable intelligent self-service for operations teams by developing natural-language-based interfaces for querying, reasoning, and diagnostics.
• Mentor developers and engineers on best practices in LLM usage, architecture, and security in production-grade environments.
• Continuously evaluate and experiment with emerging GenAI models and tools for use in network OSS and automation use cases.

To be considered for this opportunity, the candidate needs to have the following technical qualifications:

• Advanced proficiency in Python, especially with AI and NLP libraries (e.g., LangChain, Transformers, OpenAI SDK, HuggingFace, LlamaIndex).
• Strong logical reasoning and AI solution design: Ability to apply chain-of-thought reasoning, few-shot prompting, and tool-calling strategies to complex use cases.
• Experience with GenAI Stack: Hands-on with embedding models, vector stores, hybrid search, RAG pipelines, prompt tuning, and LangGraph/agent workflows.
• API & Tool Integration: Experience integrating LLMs with APIs, databases, and monitoring systems via tools or function-calling patterns.
• Containerization and CI/CD: Proficiency in Docker, GitHub workflows, and CI/CD pipelines to deploy and scale GenAI services.
• Knowledge of MLOps/Inference Infra: Familiarity with GPU orchestration, batch vs. streaming inference, and cost optimization for AI workloads.
• Unit Testing & Code Quality: Comfort with testing LLM chains and ensuring reproducibility, robustness, and fallback mechanisms.

Experience in network operations, observability, or infrastructure monitoring is a strong advantage. A passion for creating intelligent systems that empower operations through automation, context, and reasoning is essential.

The Candidate

To be considered for this opportunity candidates will have the following skills:

• Demonstrates excellent communication skills with ability to communicate effectively at all levels within the organisation reaching out when needed to resolve issues. 
• Shows strength in negotiation both internally and externally to ensure successful resolution of issues prior to escalation, ensuring that the wider business imperative is not undermined.  
• A clear understanding of the business imperatives and how they align with the wider company strategy. 

The candidate will be a fit with the culture and values of Maersk