Bachelor's degree in computer science or information systems or equivalent experience.
Minimum 10 years of technology related work experience
Minimum 2 years leveraging LLMs in development
Must love to code and work through engineering challenges using GenAI
8+ years of building scalable services on top of public cloud infrastructure, preferably Azure and AWS
8+ years' experience designing, building and operating large-scale distributed systems and infrastructure
5+ years' experience with data and AI platforms (e.g. Databricks, Azure)
Deep knowledge of containerization & orchestration (Kubernetes, Docker), IaC and CI/CD technologies.
Experience working with AI and Machine Learning frameworks (e.g. LangChain, LangGraph, Semantic Kernel, TensorFlow, PyTorch), and APIs
Proficiency with at +1 scripting language (e.g. Python, Powershell, Go)
Proficiency in RAG pipelines, experience with multi-agent orchestration (MCP, A2A, etc), and skill/tool use is critical.
Ability to identify, analyze and resolve complex technical issues, ensuring optimal performance, scalability and user experience.
Experience in managing geographically distributed teams.
Hands‑on familiarity with modern AI development tools, including GitHub Copilot, Cursor, and similar AI‑assisted engineering tools, and an expectation to model their effective use.
Build and operate systems leveraging LLMs, agentic orchestration, and intelligent workflows aligned to real business outcomes.
Collaborate across data platforms and enterprise systems supporting procurement and supply chain operations.
