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Tier-1 brand plus popular AI title raise competition, niche generative-AI tooling requirements moderate density.
AI engineering skills transfer across industries, though logistics-specific governance increases domain sensitivity.
Specific AI tooling and generative-model skills required, but no explicit years filter.
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Design and implement AI solutions leveraging Python, Generative AI models, and prompt engineering to improve business and IT process efficiency.
Evaluate complex business challenges to create AI-enabled workflows selecting appropriate models and architectures for measurable outcomes.
Ensure AI solutions are reliable, scalable, secure, and comply with enterprise standards and governance.
Proficiency in Python, prompt engineering, and application of Generative AI models in real-world use cases.
Experience or knowledge of AI workflow tools such as LangChain and Google ADK is highly desirable.
Familiarity with context engineering, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), agent-based systems, and AI orchestration frameworks is highly desirable.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in decomposing complex problems into AI-driven workflows and selecting efficient AI architectures for operational impact.
Capable of working independently and prioritizing tasks under pressure in a multinational, cross-region collaborative environment.
Comfortable with advanced spoken and written English to communicate within a global team.