Senior Applied AI Engineer – Supply Chain
Motorola Solutions1 day ago
Base Salary
$75k - $125k/yr
Responsibilities
- Architect, deploy, and scale conversational AI applications and enterprise LLM systems across proprietary ERP and warehouse data.
- Design and develop secure multi-agent workflows, autonomous agents, human-in-the-loop fallbacks, and real-time supply chain decision systems.
- Build event-driven data streaming pipelines, proactive alerting systems, data integrations, and API-driven dashboards.
- Own and evolve the GenAI data platform, including evaluation, migration, experiment tracking, benchmarking, and continuous model improvement.
- Establish LLMOps, MLOps, coding, observability, and agentic development standards while conducting architectural reviews.
- Mentor junior and mid-level engineers and provide technical strategy and architectural guidance.
- Collaborate with supply chain leaders to translate operational challenges into deployed AI automation solutions.
Requirements
- 5+ years of software engineering, data engineering, or ML engineering experience, including architecting and deploying LLMs or AI agents in production.
- Bachelor's degree in Computer Science, Artificial Intelligence, or a related field.
- Expert-level Python and SQL skills and a deep understanding of distributed systems, microservices, and modern cloud infrastructure.
- Experience with LLM orchestration frameworks such as LangChain, LangGraph, AutoGen, and CrewAI; vector databases such as Pinecone and Weaviate; and retrieval optimization techniques.
- Production experience with Docker, Kubernetes, CI/CD pipelines, API design, and observability tools.
- Experience with BI automation, Text-to-SQL workflows, API-generated visualizations or dashboards, ETL/ELT pipelines, and SQL.
- Knowledge of cloud-native architecture on AWS, with familiarity with GCP or Azure.
- Preferred experience with enterprise supply chain operations, ERP architecture, SAP, Oracle, procurement, or logistics optimization.
- Preferred experience building evaluation frameworks such as Ragas, fine-tuning open-source foundation models, and using Kafka, Spark, or similar streaming technologies.
- Strong ability to influence roadmaps, manage technical debt, communicate AI constraints to business leaders, and collaborate with stakeholders.
Benefits
- Target base salary range of $75,000-$125,000 USD.
- Hybrid work arrangement; travel is under 10%.
- Incentive bonus plans, medical, dental, and vision benefits.
- 401(k) with company match, 10 paid holidays, and generous paid time off.
- Employee stock purchase plan and paid parental and family leave.
- No relocation provided; referral payment plan available.
Categories
About Motorola Solutions
Motorola Solutions builds mission‑critical communications, video security and access control, body‑worn cameras, and command‑center software for public safety agencies and enterprises. It sells radios and LMR/P25 systems, cloud software, and managed services used by police, fire, and critical infrastructure operators. Headquartered in Chicago and publicly traded on the NYSE (MSI), the company was formed in 2011 after Motorola’s split and operates globally.