Senior AI Engineer

Company Overview

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

Department Overview

Job Description

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 AIBI 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.

Key Responsibilities

• 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

Experience

• Proven track record of developing and deploying production AI/ML solutions

• Experience working with supply chain logistics or operations data (preferred)

Technical Skills

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

Preferred Qualifications

• Advanced degree (Masters 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

Core Competencies

Technical Leadership

• Ability to architect complex AI systems and make technical decisions

• Strong problem-solving skills and analytical thinking

• Comfortable working with ambiguity and evolving requirements

Communication & Collaboration

• 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

Business Acumen

• Understanding of supply chain operations and business processes

• Ability to identify business opportunities for AI/automation

• Focus on delivering measurable business value

Innovation & Learning

• Passion for staying current with AI/ML advancements

• Proactive approach to learning new technologies

• Creative problem-solving and innovative thinking

Target Base Salary Range: $98100 - $196200

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.

Basic Requirements

• Bachelors 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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Travel Requirements

Relocation Provided

Position Type

Referral Payment Plan

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.

Were 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 thisReasonable Accommodations Formso we can assist you.