AI Solutions Engineer
- Design, build, and deploy Generative AI and Agentic AI solutions tailored for supply chain use cases.
- Lead the experimentation and operationalization of AI agents across planning, sourcing, logistics, and fulfillment domains.
- Architect scalable data pipelines that ingest, transform, and serve high-quality data for AI/ML workloads.
- Ensure robust data integration from ERP, Supply Chain systems, and third-party APIs.
- Implement MLOps best practices to manage AI lifecycle: versioning, monitoring, retraining, and governance.
- Collaborate with cross-functional supply chain IT and operations teams to translate business challenges into AI-driven solutions.
- Minimum 3 years of experience in AI Solutions Engineering or related field.
- Strong understanding of Data Science and supply chain functional expertise.
- Experience with technologies like LLMs, autonomous agents, reinforcement learning, and reasoning frameworks.
- Ability to drive continuous improvement through digital twin models, predictive analytics, and scenario simulation.
- Excellent communication skills to present technical concepts and business value to executive stakeholders clearly and persuasively.
- Strong collaboration and teamwork skills to work closely with cross-functional supply chain IT and operations teams.
