Senior Architect

With a global team of 5600+ IT professionals, DHL IT Services connects people and keeps the global economy running by continuously innovating and creating sustainable digital solutions.

We work beyond global borders and push boundaries across all dimensions of logistics.

You can leave your mark shaping the technology backbone of the biggest logistics company of the world.

All our locations have earned the #GreatPlaceToWork certification, reflecting our commitment to exceptional employee experiences.

Digitalization.

Simply delivered.

At IT Services, we are passionate about technology.

Our Advance Analytics team is continuously expanding.

No matter your level of Senior Architect proficiency, you can always grow within our diverse environment.

#DHL #DHLITServices #GreatPlace

Grow together

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 an AI / ML Senior Architect, you bring strong experience in designing and building enterprise‐grade AI and Machine Learning applications, with a clear focus on architecture, scalability, security, and industry best practices.

You have a proven track record of translating business requirements into well‐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.

This includes designing, proposing, and governing architectural changes to our existing or new AI/ML products.

Last but not least, AI technologies spanning machine learning models, generative AI, data platforms (Snowflake, Teradata), MLOps pipelines, cloud AI services (Azure / Google Cloud), APIs, and enterprise integrations are all part of your architecture domain.