Motorola Solutions is looking to transform its supply chain operations through AI-powered analytics, enterprise reporting, and scalable data infrastructure to enable data-driven decision-making and drive operational efficiency.
Requirements
- Deep understanding of LLM architectures (GPT, Claude, Llama, etc.) and their applications
- Strong experience with agent design, tool-use, and multi-step reasoning frameworks
- Experience with prompt engineering and conversational AI systems
- Proficiency in fine-tuning and optimizing LLM models
- Experience with AI/ML frameworks (LangChain, LlamaIndex, Hugging Face, TensorFlow, PyTorch)
- Strong proficiency in Python (required)
- Experience with API development (REST, GraphQL)
Responsibilities
- Design, develop, and deploy autonomous AI agents capable of multi-step reasoning, planning, and tool use to execute complex supply chain tasks, including data analysis and process automation.
- Optimize conversational AI interfaces that enable natural language querying of supply chain data, including prompt engineering, data integration, and performance optimization
- Lead and execute AI initiatives across supply chain domains (procurement, logistics, inventory, forecasting, automation, etc.), from conception through deployment
- As a senior engineer, take ownership of end-to-end solution development including architecture design, implementation, testing, and deployment of AI-powered supply chain solutions
- Identify, design, and implement AI-driven automation solutions that optimize supply chain processes and drive operational efficiency
- Build seamless connections between AI systems and underlying data infrastructure (data warehouses, APIs, databases, BI tools)
- Provide technical guidance, establish AI development best practices, and mentor junior engineers
Other
- Work closely with supply chain business leaders and cross-functional teams to understand requirements, deliver value-driven solutions, and ensure successful adoption
- Stay current with AI/LLM advancements, evaluate new technologies, and continuously optimize existing solutions for performance and cost-effectiveness
- Create comprehensive technical documentation and share knowledge across the organization
- Proven track record of developing and deploying production AI/ML solutions
- Experience working with supply chain, logistics, or operations data (preferred)
