Senior AI Engineer

​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. Our critical communications, video security and command center technologies support public safety agencies and enterprises alike, enabling the coordination that’s critical for safer communities, safer schools, safer hospitals and safer businesses. Connect with a career that matters, and help us build a safer future.

The Senior AI Engineer will play a critical role in designing and deploying autonomous AI agents that enable multi-step reasoning, complex analysis, and optimization of supply chain processes. This position will lead the expansion of AI initiatives across the supply chain organization, with a particular focus on automation solutions that drive operational efficiency and data-driven decision-making.

As a key member of the AI+BI team, you will work at the intersection of artificial intelligence, data engineering, and supply chain operations to create innovative solutions that transform how business users interact with data and automate complex supply chain processes.

• Design and Develop Autonomous AI Agents: 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.

• Develop ChatGPT for Data Experiences: Optimize conversational AI interfaces that enable natural language querying of supply chain data, including prompt engineering, data integration, and performance optimization

• Execute AI Projects Across Supply Chain: Lead and execute AI initiatives across supply chain domains (procurement, logistics, inventory, forecasting, automation, etc.), from conception through deployment

• Develop and Execute Solutions: 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

• Automation Development: Identify, design, and implement AI-driven automation solutions that optimize supply chain processes and drive operational efficiency

• Data Integration: Build seamless connections between AI systems and underlying data infrastructure (data warehouses, APIs, databases, BI tools)

• Stakeholder Collaboration: Work closely with supply chain business leaders and cross-functional teams to understand requirements, deliver value-driven solutions, and ensure successful adoption

• Technical Leadership: Provide technical guidance, establish AI development best practices, and mentor junior engineers

• Continuous Improvement: Stay current with AI/LLM advancements, evaluate new technologies, and continuously optimize existing solutions for performance and cost-effectiveness

• Documentation & Knowledge Sharing: 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)

AI/ML Expertise:

• 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)

• Knowledge of model evaluation, testing, and performance optimization

Programming & Development:

• Strong proficiency in Python (required)

• Experience with API development (REST, GraphQL)

• Familiarity with cloud platforms (Azure, AWS, or GCP)

• Experience with version control (Git) and CI/CD practices

• Knowledge of software engineering best practices and design patterns

Data & Integration:

• Understanding of data engineering concepts (ETL/ELT, data pipelines)

• Experience integrating AI systems with databases, data warehouses, and APIs

• Familiarity with SQL and data querying

• Knowledge of data security and governance practices

Tools & Technologies:

• Experience with ChatGPT API, OpenAI, or similar LLM platforms

• Knowledge of containerization (Docker, Kubernetes)

• Experience with monitoring and observability tools

• Advanced degree (Master's or PhD) in AI/ML, Computer Science, or related field

• Experience in supply chain, logistics, or manufacturing industries

• Experience with AWS Bedrock, Azure OpenAI, or Google Vertex AI

• Knowledge of MLOps practices and model deployment pipelines

• Experience with BI tools (Power BI, Tableau, Looker) and their integration with AI

• Strong background in natural language processing (NLP) and information retrieval

• Experience with agile development methodologies

• Published research or contributions to open-source AI/ML projects

• Certifications in cloud platforms or AI/ML technologies

• Ability to architect complex AI systems and make technical decisions

• Strong problem-solving skills and analytical thinking

• Comfortable working with ambiguity and evolving requirements

• Excellent verbal and written communication skills

• Ability to translate technical concepts for non-technical stakeholders

• Strong collaboration skills with cross-functional teams

• Experience presenting technical solutions to leadership

• Understanding of supply chain operations and business processes

• Ability to identify business opportunities for AI/automation

• Focus on delivering measurable business value

• Passion for staying current with AI/ML advancements

• Proactive approach to learning new technologies

• Creative problem-solving and innovative thinking

Target Base Salary Range: $98,100  - $196,200 

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.

• Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field
• 5+ years of professional experience in software engineering, AI/ML development, or data engineering
• 3+ years of hands-on experience with Large Language Models (LLMs) and conversational AI systems
• 2+ years of experience leading technical projects or initiatives

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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!

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.