Note: The job is a remote job and is open to candidates in USA. Blue Yonder is a leader in supply chain solutions, seeking a Sr Staff AI Engineer to enhance their AI Advisory team. The role involves designing and operationalizing advanced AI and machine learning solutions to address complex supply chain challenges, partnering with various teams to translate business problems into scalable AI solutions.

Responsibilities

• Design, build, and deploy machine learning models across the full solution lifecycle, including data preparation, validation, deployment, and monitoring
• Architect and develop GenAI‑powered agents, including prompt and context engineering, retrieval‑augmented generation (RAG), multi‑agent orchestration, and integration with ML models and optimization solvers
• Translate complex customer business problems into AI‑driven predictions and recommendations that deliver measurable outcomes such as cost reduction, service improvement, and revenue uplift
• Lead and contribute to rapid customer POCs, experiments, and pilots, iterating solutions toward scalable, production‑ready implementations
• Work directly with customers to build trust, demonstrate explainability, and operationalize AI by embedding agents and models into daily workflows
• Guide customers through adoption and change management, supporting the transition from experimentation to sustained AI‑driven transformation
• Confidently communicate AI strategy, risks, and value to technical, business, and executive stakeholders
• Partner with engineering teams on full‑stack development, including front‑end and back‑end integration, microservices extensions, and CI/CD enablement
• Ensure AI solutions integrate effectively within enterprise platforms and the Blue Yonder ecosystem, balancing scalability, performance, and cost
• Act as a thought leader within the AI Advisory community, mentoring peers and contributing to best practices and delivery standards
• Stay current on advancements in ML, GenAI frameworks, and supply chain AI applications, applying new techniques where they provide tangible customer value

Skills

• 8 years of hands-on professional experience in data science, machine learning, advanced analytics, AI engineering, data engineering or software engineering within enterprise-scale environments
• Strong hands-on experience with Python, SQL, and modern data engineering practices, including buildable scalable data pipelines, ETL/ELT workflows, data integration processes, and production-grade analytics or AI/ML solutions
• Must have demonstrated experience with modern AI/GenAI capabilities, including agent-based systems, RAG architecture, prompt and context engineering, multi-agent orchestration, model fine-tuning, and LLM-based solution design
• Strong collaboration skills and ability to operate effectively in ambiguous, complex problem spaces
• Bachelor's or Advanced Degree (Masters, PHD, etc.) in Data Science, Computer Science, Engineering, or a related field, or equivalent practical experience
• Familiarity with Snowflake Cortex, semantic layers, Cortex Analyst/Agents, or similar AI-enabled data platform capabilities is preferred
• Experience with knowledge graphs, ontology-driven modeling, graph-based reasoning, and platforms such as Relational AI, Neo4j, or similar technologies to enhance AI agents, RAG workflows, contextual reasoning, explainability, and enterprise decision intelligence
• Deep supply chain domain expertise across one or more functional areas, including; planning, merchandising, allocation, replenishment, fulfillment, procurement, or returns
• Experience across at least one industry vertical; Manufacturing, Retail, or Logistics Service Providers (e.g., Automotive, High Tech, Hardlines, Softlines, Grocery)
• Experience acting as a mentor or technical leader within AI or advanced analytics teams

Benefits

• Comprehensive Medical, Dental and Vision
• 401K with Matching
• Flexible Time Off
• Corporate Fitness Program
• A variety of voluntary benefits such as; Legal Plans, Accident and Hospital Indemnity, Pet Insurance and much more

Company Overview

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