Applied AI Engineer I – Supply Chain

Motorola Solutions

Chicago (IL)

On-site

USD 59,000 - 85,000

Full time

7 days ago

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Benefits offered by this job

Incentive Bonus Plans

Medical, Dental, Vision benefits

401K with Company Match

10 Paid Holidays

Generous Paid Time Off

Employee Stock Purchase Plan

Paid Parental & Family Leave

Job summary

Motorola Solutions is seeking an Applied AI Engineer I to bridge AI and real-world logistics. You’ll build conversational AI interfaces, deploy intelligent systems, and evolve tools toward proactive decision-making in supply chain operations.

You’ll work with data scientists, engineers, and operators to create robust AI solutions, with a focus on safe HITL and scalable data pipelines in a fast-paced environment.

Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Science, Operations Research, Engineering, or related quantitative field.
Proficiency in Python and data manipulation libraries (Pandas, NumPy).
Experience with LLMs, prompt engineering, and agentic AI frameworks.
Solid SQL querying and relational database experience.

Responsibilities

Build and maintain LLM applications to query ERP, warehouse, and logistics data using natural language.
Develop proactive alerting systems to monitor data streams and push actionable insights.
Create autonomous and semi-autonomous AI workflows with HITL fallbacks.
Collaborate on model design, training, and deployment for routing and forecasting.
Develop data pipelines to feed predictive models and LLMs.
Partner with analysts to translate operational pain points into AI solutions.
Ensure production-grade Python code and robust software practices.

Skills

Python

Pandas

NumPy

SQL

LLMs & prompt engineering

Agentic AI frameworks

LangChain

LangGraph

AutoGen

CrewAI

Data pipelines

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Operations Research, Engineering, or related quantitative field

Tools

Docker

Git

CI/CD

Job description

Company Overview

At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.

Department Overview

The Supply Chain AI & Data team drives the strategic transformation of our operations in alignment with Vision 2030. We are building the next evolution of data on AI-moving beyond traditional analytics to architect an intelligent, autonomous supply chain ecosystem. As the strategic engine behind critical initiatives, our mission is to fundamentally redefine how the business operates, turning complex logistical challenges into proactive, resilient, and forward-looking capabilities.

Job Description

About the Role

As an Applied AI Engineer I on our Supply Chain team, you will help bridge the gap between cutting‑edge artificial intelligence and real‑world logistical challenges. You will work closely with senior engineers, data scientists, and supply chain operators to build and deploy intelligent systems that optimize our operations. A major focus of this role will be developing Conversational AI interfaces for our supply chain data, and subsequently evolving those tools into proactive alerting systems and semi/fully autonomous AI agents that can execute decisions in real time. Moving from foundational support to owning specific project components, you will play a hands‑on role in making our supply chain smarter, faster, and more resilient.

Key Responsibilities

Conversational AI for Data: Build and maintain Large Language Model (LLM) applications (such as Text-to-SQL or RAG systems) that allow stakeholders to easily query ERP, warehouse, and logistics data using natural language.
Proactive Alerting Systems: Expand conversational tools into active monitoring systems that continuously analyze supply chain data streams, detect anomalies (e.g., inventory shortages, shipping delays), and automatically push alerts and actionable recommendations to operators before bottlenecks occur.
Autonomous & Semi-Autonomous Agents: Develop and deploy agentic AI workflows that can take independent action—such as rerouting shipments, generating purchase orders, or automating vendor communications—while designing secure Human-in-the-Loop (HITL) fallback mechanisms.
Model Development & Deployment: Collaborate on designing, training, and deploying standard machine learning models for supply chain optimization (e.g., route planning, demand forecasting).
Data Pipeline Engineering: Write clean, production-ready code to extract, clean, and preprocess large datasets from our core operational systems to feed both predictive models and LLMs.
Cross-Functional Collaboration: Partner with supply chain analysts and domain experts to translate operational pain points into actionable, agentic AI solutions.
Programming: Strong proficiency in Python and standard data manipulation libraries (e.g., Pandas, NumPy).
AI/ML & Generative AI: Hands‑on experience (through internships, academic projects, or previous roles) with LLMs, prompt engineering, and agentic AI frameworks (e.g., LangChain, LangGraph, AutoGen, or CrewAI).
Database Skills: Solid understanding of SQL and experience querying relational databases to support conversational data retrieval.
Problem Solving: A strong analytical mindset with a genuine curiosity about how goods move and how systems can be optimized through autonomous workflows.
Communication: Ability to communicate technical concepts clearly to non-technical supply chain stakeholders.

Preferred Qualifications

Event-Driven Architecture: Exposure to data streaming, webhooks, or event-driven systems to support real-time proactive alerting.
Domain Knowledge: Basic understanding of supply chain management, logistics, procurement, or manufacturing concepts.
Cloud Platforms: Experience with cloud computing environments (AWS, GCP, or Azure) and their respective AI/ML services.
Software Engineering Best Practices: Familiarity with version control (Git), containerization (Docker), API development, and CI/CD pipelines.

Target Base Salary Range

$58,500 - $85,200

Basic Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, Operations Research, Engineering, or a related quantitative field.

Travel Requirements

None

Relocation Provided

None

Position Type

New Grad Referral Payment Plan Yes

U.S. Benefits include:

Incentive Bonus Plans Medical, Dental, Vision benefits 401K with Company Match 10 Paid Holidays Generous Paid Time Off Packages Employee Stock Purchase Plan Paid Parental & Family Leave and more!

EEO Statement

Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic. We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world.

If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team.

We’re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete this Reasonable Accommodations Form so we can assist you.

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