Job Description

DHL Express - a company that connects people!
What makes DHL great? Our People! We know each employee's individual contributions make us the #1 Express Delivery and Logistics Company in the world.
Distinguished as No.1 World's Best Workplace(TM) by Great Place to Work and Fortune Magazine DHL Express is committed to maintaining an environment that empowers every team member to make the greatest possible impact on our business. Our corporate culture is about personal commitment - to our business, to each other and to our global communities. DHL is dedicated to being a great place to work. Start YOUR career with DHL today...
Role Purpose
The Lead AI Engineer / AI Architect is an advanced-level position within the Advanced Analytics job family. This role involves managing the lifecycle of AI solutions, defining technical product strategies, managing a portfolio of AI services, and driving innovation in AI technologies.
How will you contribute to the success of DHL?
Accountability:
Define the design and oversee implementation of AI platforms, services and solutions, ensuring alignment with DHL's technology platforms and business objectives.
Leadership:
Provide strategic direction and technical leadership in AI and machine learning technologies, guiding the integration of these solutions into business systems.
Execution:
Drive the development and deployment of scalable AI applications, including generative AI and advanced analytics, to enhance logistics and operational efficiency; hands-on POC of new technology feasibility.
Collaboration:
Build effective relationships with stakeholders, manage AI project portfolios, and ensure the successful integration of AI solutions within the organization.
Entrepreneurship:
Proactively share expert knowledge with team, peers, stakeholders, and wide DHL community; identify and bring new technologies/methods.
Vendor management:
Manage vendor relationships, evaluating and negotiating AI solutions that align with business requirements.
Do you have what it takes?

• Advanced degree or equivalent experience in: Computer Science, Engineering, Information Systems.
• 10+ years of experience in Data Analytics, 5+ years of experience in Solution Architecture, Machine Learning Ops, 2+ years of experience in Generative AI Professional Certification in Agile (preferable).
• Proven experience in delivering ML and AI solutions with business impact and system integration.
• Expertise in AI architecture design, machine learning operations, model deployment, and system integration.
• Hands-on experience with AI service and Generative AI/LLM frameworks such as Azure AI, GCP AI, OpenAI, GPT-based systems, Hugging Face and the like.
• Strong knowledge of machine learning models (e.g., regression, decision trees, neural networks) and deployment pipelines.
• Advanced programming skills in Python for data transformation, model training, and API services.
• Advanced skills in SQL programming and schema architecture.
• Experience with distributed platforms, cloud-based solutions (Azure/GCP), service-oriented architectures (SOAP and REST), and SQL/NoSQL databases.
• Experience with architecting solutions with high availability and high scalability.
• Familiarity with containerization (Docker), orchestration (Airflow), and MLOps frameworks (e.g., MLFlow, Kubeflow).
• Familiarity in web technologies: Spring MVC, Angular JS, Servlets, HTML, XML, JavaScript, CSS, jQuery, Bootstrap.

Please submit your application along with your CV and a copy of your highest educational degree (e.g., Bachelor's, Master's, or MBA certificate).
DHL is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.
Recruitment Team

Skills Required