Motorola Solutions · 7 hours ago
Senior AI Engineer
Chicago, IL
Full-time
Hybrid
Mid, Senior Level
$98K/yr - $196K/yr
5+ years expMotorola Solutions is a global community focused on enhancing safety through advanced technologies. The Senior AI Engineer will design and deploy AI agents, lead AI initiatives in supply chain operations, and collaborate with cross-functional teams to optimize processes and drive efficiency.
Cyber SecurityTelecommunicationsVideo
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
Qualification
Required
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
Strong proficiency in Python
Proven track record of developing and deploying production AI/ML solutions
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
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
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
Experience with ChatGPT API, OpenAI, or similar LLM platforms
Knowledge of containerization (Docker, Kubernetes)
Experience with monitoring and observability tools
Ability to architect complex AI systems and make technical decisions
Strong problem-solving skills and analytical thinking
Excellent verbal and written communication skills
Ability to translate technical concepts for non-technical stakeholders
Strong collaboration skills with cross-functional teams
Understanding of supply chain operations and business processes
Ability to identify business opportunities for AI/automation
Passion for staying current with AI/ML advancements
Proactive approach to learning new technologies
Creative problem-solving and innovative thinking
Preferred
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
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
And more!
Company
Motorola Solutions
Motorola Solutions creates mission-critical communication solutions and services for public safety and commercial customers.
10001+ employees
H1B Sponsorship
Motorola Solutions has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (159)
2024 (119)
2023 (146)
2022 (170)
2021 (153)
2020 (155)
Funding
Current Stage
Public CompanyTotal Funding
$1BKey Investors
Silver Lake
2023-01-06Post Ipo Equity· $1B
2011-01-04IPO
Leadership Team
Mahesh Saptharishi
Executive Vice President and CTO
Jack Molloy
EVP and Chief Operating Officer
Recent News
2025-12-17
2025-12-17
Company data provided by crunchbase