Senior Applied AI Engineer - Supply Chain

Motorola Solutions • $75K — $125K *

Chicago, IL 60629In-Person

Enterprise Technology

5 - 7 years of experience

Today

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Job Overview by Ladders

Qualifications

5+ years in software, data, or ML engineering with a focus on LLMs or AI solutions.
Expert in Python and SQL; proficient in distributed systems and cloud infrastructure (AWS/GCP/Azure).
Mastery of LLM orchestration frameworks such as LangChain and LangGraph.
Extensive experience with Docker and Kubernetes, alongside CI/CD practices.
Strong communication skills to bridge technical and business discussions.
Knowledgeable in BI automation and programmatic dashboard creation via APIs.

Responsibilities

Architect and deploy scalable Conversational AI applications and LLMs.
Develop advanced multi-agent systems for autonomous supply chain tasks.
Build event-driven data pipelines for proactive supply chain monitoring.
Evaluate and migrate existing AI platforms for enhanced functionality.
Mentor junior engineers and set coding and operational standards.
Design autonomous AI agents for minimal human intervention in supply chain processes.
Interface with stakeholders to translate business needs into technical solutions.

Benefits

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

Full Job Description

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 like Project Falcon, our mission is to fundamentally redefine how the business operates, turning complex logistical challenges into proactive, resilient, and forward-looking capabilities.
Job Description

As a Senior Applied AI Engineer on our Supply Chain team, you will drive the technical vision and architectural design for integrating foundational models and autonomous systems into our global logistics network. You will own the end-to-end lifecycle of enterprise-grade AI products-evolving conversational interfaces into highly reliable, multi-agent systems that execute complex supply chain decisions in real time. Beyond writing production code, you will architect secure, scalable LLM deployments, design rigorous evaluation frameworks, and mentor junior engineers. You will act as a strategic partner to supply chain leadership, translating massive operational bottlenecks into deployed, autonomous AI solutions.

Key Responsibilities

Enterprise LLM Architecture: Architect, deploy, and scale robust Conversational AI applications. Own the system design to ensure low latency, high accuracy, and strict data governance across proprietary ERP and warehouse data.
Advanced Multi-Agent Systems: Lead the development of sophisticated agentic workflows capable of taking independent action (e.g., auto-generating purchase orders, dynamically rerouting freight). Design secure execution environments and rigorous Human-in-the-Loop (HITL) fallback mechanisms for high-stakes decisions.
Real-Time Event Orchestration: Build highly available, event-driven data streaming pipelines that power proactive alerting systems, detecting supply chain anomalies and inventory shortages before they impact operations.
Evaluate & Evolve Agentic Architectures: Take lead technical ownership of our existing GenAI data platform (AWS Bedrock, Langfuse), and lead the evaluation, selection, and migration to a next-generation agentic orchestration framework (e.g., LangGraph, CrewAI, AutoGen, Semantic Kernel).
Technical Leadership & Mentorship: Mentor junior and mid-level engineers, establish coding and MLOps standards, conduct architectural reviews, and guide the team's overall technical strategy.
Build Autonomous Agents: Design, develop, and deploy semi- and fully autonomous AI agents capable of planning, tool-use, and executing complex supply chain tasks with minimal human intervention.
Drive Proactive Automation: Evolve the current conversational interface into a proactive engine that actively monitors supply chain data, triggers intelligent alerts, and automatically generates dynamic dashboards for business users.
AI Evaluation & Benchmarking: Design end-to-end AI evaluation strategies, leveraging Langfuse for experiment tracking and dataset management to run systematic benchmarks and drive continuous model improvements.
Data & API Integration: Build seamless connections between our AI agentic systems and underlying data warehouses, BI platforms, and operational APIs.
Technical Leadership: Provide architectural guidance, establish LLMOps and agentic development best practices, and mentor junior engineers on the team.
Stakeholder Collaboration: Work closely with supply chain business leaders to understand requirements, translate them into technical architectures, and ensure successful adoption of automation tools.

Required Qualifications

Experience: 5+ years of software engineering, data engineering, or ML engineering experience, with a proven track record of architecting and deploying LLMs or AI agents into production environments.
Programming & Systems: Expert-level Python and SQL. Deep understanding of distributed systems, microservices, and modern cloud infrastructure (AWS/GCP/Azure).
Generative AI Expertise: Mastery of LLM orchestration frameworks (LangChain, LangGraph, AutoGen, CrewAI), vector databases (e.g., Pinecone, Weaviate), and retrieval optimization techniques (hybrid search, semantic routing).
Production Engineering: Extensive experience with containerization (Docker, Kubernetes), CI/CD pipelines, API design, and system observability tools.
Communication: Proven ability to influence product roadmaps, manage technical debt, and communicate complex AI constraints and capabilities to non-technical business leaders.
Data & Integration: Experience with BI automation, Text-to-SQL workflows, and programmatically generating visualizations or dashboards via API (e.g., Power BI, Tableau, Looker, custom frameworks). Familiarity with ETL/ELT pipelines and SQL.
Infrastructure: Knowledge of containerization (Docker, Kubernetes) and cloud-native architecture on AWS.

Preferred Qualifications

Domain Expertise: Deep working knowledge of enterprise supply chain dynamics, ERP architecture (e.g., SAP, Oracle), procurement, or logistics optimization.
Advanced AI Tooling: Experience building custom evaluation frameworks (e.g., Ragas) or fine-tuning open-source foundation models for domain-specific tasks.
Data Streaming: High proficiency with Kafka, Spark, or similar technologies to support real-time decision engines.

Target Base Salary Range: $75,000 - $125,000 USD

Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate.

#LI-MM4

#LI-HYBRID

Basic Requirements

Experience: 5+ years of software engineering, data engineering, or ML engineering experience, with a proven track record of architecting and deploying LLMs or AI agents into production environments.
Education: Bachelor's Degree in Computer Science, Artificial Intelligence or related

Travel Requirements
Under 10%
Relocation Provided
None
Position Type
Experienced
Referral Payment Plan
Yes

Our 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!

About Motorola Solutions

Motorola provides products, technologies, and services for mobile, wireline digital communication, information, and entertainment applications. Its product portfolio includes smartphones operating on the Android operating system, feature phones, media tablet devices, wireless accessories, and more. Its range of smartphone products includes the Moto X first generation, Moto X second generation, Moto G first generation, Moto G second generation, and more. It is also the manufacturer of Moto 360, a smartwatch that provides services such as notifications, updates, and other related features. It also provides monitors, cordless phones, applications, and accessories such as cases, wireless headsets, wireless speakers, and more. In addition, it provides multimedia content, including video, voice, messaging, and cloud-based and Internet-based applications and services to multiple screens such as mobile devices, televisions, media tablets, and personal computers. Its Medios service platform enables service providers to deliver content on devices. Motorola is based in Chicago, Illinois. It primarily sells its products in the United States, China, Brazil, and Singapore. Motorola currently operates as a subsidiary of Google Inc.

Motorola Solutions Careers

Join the dynamic team at Motorola Solutions today and be part of a company renowned for its relentless innovation, leadership in technology, and a commitment to professional excellence. As a global leader in communications and electronics, Motorola Solutions offers unparalleled job opportunities designed to empower your career growth and development. Work You’ll Do At Motorola Solutions, you will collaborate with a diverse team of experts who are at the forefront of technological innovation and public safety solutions. Our work impacts lives, ensuring safety and security for communities around the world. You will be part of a culture that values diversity, equity, and inclusion, and where every team member’s contribution is valued. Lead in Innovation and Technology Motorola Solutions is not just about radios and hardware; we are at the cutting edge of software solutions, AI, and data analytics. By joining our team, you will work on groundbreaking projects that redefine how public safety communicates in the digital age. Your work will help develop smart solutions that keep people safe and businesses thriving. Grow Your Career With Motorola Solutions, your career trajectory is boundless. We offer a variety of professional development and leadership training programs to help you hone your skills and advance within the company. From internships to full-time positions, Motorola Solutions is committed to nurturing talent and fostering an environment where innovation thrives. Benefits and Culture Our employees enjoy a competitive package of benefits that supports their life and well-being. These include health, vision, and dental insurance, employee assistance programs, and flexible working arrangements. At Motorola Solutions, we believe in maintaining a work-life balance that fosters both personal and professional growth. Join Our Team Explore the numerous employment opportunities at Motorola Solutions. Whether you are a seasoned professional or a recent graduate, we have positions ranging from engineering to marketing, sales to project management. We are hiring individuals who are passionate, curious, and ready to drive change. Networking and Professional Development Motorola Solutions values networking and connections within the industry. We encourage our employees to engage in various professional groups and forums to enhance their networking skills and industry knowledge. This engagement is pivotal in fostering a collaborative environment and sparking innovation within our teams. Internship Programs Our internship programs offer a robust introduction to the world of public safety solutions and communications technology. Interns at Motorola Solutions gain hands-on experience, working alongside seasoned professionals and participating in projects that make real-world impacts. Stay Connected Join the Motorola Solutions career community to stay updated on new job openings, company news, and industry developments. Tailor your job search with our career tools and get tips on crafting the perfect resume and acing your interview. Search Motorola Solutions Jobs Ready to start your journey with Motorola Solutions? Search open positions that match your skills and interests. We are looking for individuals who are driven, creative, and ready to make a difference. Keep Up to Date Stay ahead with career tips, insider perspectives, and industry-leading insights you can put to use today—all from the people who work here. Job Alert Emails Personalize your subscription to receive job alerts, latest news, and insider tips tailored to your preferences. Discover the exciting and rewarding career opportunities that await at Motorola Solutions.

Learn more about Motorola Solutions

Size

18,700 employees

Market Cap

$42.7 billion

Industry

Telecommunications & Hardware

Net Income

$949 million

Founded

1928

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