Senior Applied AI Engineer – Supply Chain

At Motorola Solutions we believe that everything starts with our people. Were 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 thats 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.

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 AImoving 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.

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 productsevolving 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 teams 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: $75000- $125000 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.

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• 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: Bachelors Degree in Computer Science Artificial Intelligence or related

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Our :

• Incentive Bonus Plans

• Medical Dental Visionbenefits

• 401K with Company Match

• 10 Paid Holidays

• GenerousPaidTime Off Packages

• Employee Stock Purchase Plan

• PaidParental & 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 youd like to join our team but feel that you dont quite meet all of the preferred skills wed still love to hear why you think youd be a great addition to our team.

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