Supply Chain Consultant – GEN AI

Role Overview

• Analyze supply chain processes across demand planning, supply planning, procurement, production planning, logistics, and inventory management.
• Translate business challenges into AI/agent-driven use cases, workflows, and decision frameworks.
• Define requirements, KPIs, data needs, and functional specifications for AI-enabled supply chain solutions.
• Validate AI/ML outputs—including forecasts, optimization recommendations, exception insights—and map them to business rules.
• Contribute to designing autonomous Agentic AI supply chain solutions, including agent roles, reasoning flows, and decision loops.
• Assist in building and validating AI agents using LLMs, RAG, prompt engineering, and domain knowledge modeling.
• Stay updated on latest advancements in LLMs, Generative AI, and agent-based architectures, assessing their applications in supply chain use cases.
• Integrate with APIs and libraries such as Azure OpenAI GPT models, Hugging Face Transformers, and other relevant frameworks.
• Support implementation and optimization of end-to-end AI pipelines (data → model → agent → workflow).
• Work with vector databases (e.g., Redis), NoSQL stores, and similarity search for knowledge retrieval and contextual decision-making within agents.
• Evaluate advanced AI techniques (transfer learning, domain adaptation, optimization algorithms) for supply-chain-specific tasks.
• Define evaluation metrics to measure the relevance, accuracy, and business impact of agent recommendations and outputs.
• Collaborate on data curation, cleaning, and preprocessing for AI and optimization models in supply chain contexts.
• Support MLOps practices around versioning, deployment, monitoring, and scaling of AI/LLM models.
• Participate in workshops, solution demos, PoV/PoC delivery, and client presentations.

Requirements

• Bachelor’s or Master’s degree in Supply Chain, Engineering, Operations, Computer Science, or related fields.
• 3–7 years of experience in supply domain Analytics
• Exposure to AI/ML, GenAI, LLMs, or digital supply chain transformation initiatives.
• Technical Skills Understanding of machine learning, NLP, or LLM-based techniques (GPT, Transformer models, BERT, etc.).
• Familiarity with optimization (MIP, linear programming) is preferred.
• Good exposure to cloud platforms (Azure, AWS, GCP).
• Ability to annotate requirements, work with APIs, vector databases, and integrate supply chain workflows with AI agents.
• APICS / CPIM / CSCP certifications are a plus.

Tech Stack

• AWS
• Azure
• Cloud
• Google Cloud Platform
• NoSQL
• Redis

Benefits

• Competitive salary
• Professional development budget
• Global team events
• Flexible working hours
• Home office setup allowance