Senior Hybrid Architect

Senior Architect
With a global team of 5600+ IT professionals, DHL IT Servicesconnects peopleand keeps the global economy runningby continuously innovating and creating sustainable digital solutions. We workbeyond global bordersand push boundaries acrossall dimensions of logistics. You canleave your markshaping thetechnology backboneof the biggest logistics company of the world. All our locations have earned the#GreatPlaceToWorkcertification, reflecting our commitment to exceptional employee experiences.
No matter your level of Senior Architect proficiency, you can always grow within our diverse environment.
#We in Advance Analytics Team are responsible to provide the best in class AI/ML solutions to our business and to help them unlock the real potential of business data. As anAI / ML Senior Architect, you bring strong experience indesigning and building enterprise‑grade AI and Machine Learning applications, with a clear focus onarchitecture, scalability, security, and industry best practices. You have a proven track record of translating business requirements intowell‑defined AI/ML architectural blueprints, covering data pipelines, model development, deployment, and lifecycle management.
You will provide architectural leadership across AI platforms, data pipelines, model lifecycle management, and MLOps. You will support complex incident analysis related to AI systems, model behavior, performance degradation, and data quality issues, working closely with engineering, platform, and security teams. For any issues related to AI solutions, ML pipelines, data pipelines, or generative AI services within the Advance Analytics team,you are our go‑to expert. Last but not least, AI technologies spanningmachine learning models, generative AI, data platforms (Snowflake, Teradata), MLOps pipelines, cloud AI services (Azure / Google Cloud), APIs, and enterprise integrationsare all part of your architecture domain.

As anAI / ML Senior Architect, havingenterprise AI / ML solution architecture experienceis a huge plus. You demonstrate deep knowledge ofmachine learning, deep learning, and generative AI architectures. Hands‑on experience withenterprise LLM platforms, includingGoogle Vertex AI and Azure AI Services.Strong data modelling and data warehousing knowledge using Snowflake will be an advantage.
You are a technology aficionado, therefore you have a good understanding ofcontainerization and orchestration technologies (Docker, Kubernetes),cloud‑native system design,API‑based AI services, andLLM platform integration (prompt engineering, RAG patterns, embeddings, and inference optimization). Working in a multinational environment, you can expect cross-region collaboration with teams around the globe, thus being advanced in spoken and written English will be certainly useful.
Hybrid work arrangements to balance in-office collaboration and home flexibility.
Medical Insurance: Self + Spouse + 2 children. In House training programs: professional and technical training certifications.