Lead AI Engineer / AI Architect

Please note that the position does not include a relocation package or visa sponsorship.

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.

RESPONSIBILITIES:

• Accountability: Define the design and oversee implementation of AI platforms, services and solutions, ensuring alignment with DHLs 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.

QUALIFICATION AND EXPERIENCE:

• 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, Google Cloud Platform 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/Google Cloud Platform), 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.

• Analytical: Synthesizes complex information, designs data flows/models and architecture, and validates conclusions.
  Problem Solving: Identifies and resolves issues proactively, develops alternative solutions, and works collaboratively to address challenges.
  Business Acumen: Understands the business implications of data and AI-driven decisions.
  Leadership: Inspires and mentors teams, fostering innovation and delivering results in a dynamic environment.
  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).

Why Join Us? At DHL Group, we value innovation, collaboration, and customer-centric solutions. Join us to be part of a dynamic team committed to driving growth and delivering exceptional service.