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Motorola Solutions is seeking an experienced AI/ML engineer/strategist to lead the evaluation and deployment of enterprise AI tools across cloud and edge environments. The role emphasizes risk-aware innovation, cross-functional leadership, and translating AI concepts into measurable business value.
Candidates should have 5+ years in AI/ML, cloud SaaS experience, and a track record of delivering production-ready AI in high-reliability settings.
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. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s 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.
We engineer the future of safety and security. Our connected technologies enable seamless, mission-critical communications for public safety and enterprise organizations, protecting people, property, and communities.
Experience: 5+ years in AI/ML engineering, product management, or technical strategy, ideally within cloud SaaS, telecommunications, or unified communications (UCaaS). Risk-Aware Innovation: Demonstrated ability to distinguish between \"hype\" and \"stable, production-ready\" AI. Experience deploying AI in zero-fault tolerance or high-reliability environments. Cross-Functional Leadership: Proven track record of translating complex AI concepts into business value (ROI, cost-savings, performance metrics) for stakeholders.
Audio/Voice ML: Familiarity with audio processing models, speech recognition (ASR), and natural language processing (NLP) tailored for real-time communication. Cloud AI Services: Deep understanding of managed AI services across major cloud providers (AWS, Azure, GCP) and how to architect them for cost-efficiency. Edge vs. Cloud Architecture: Strong understanding of when to process AI workloads on the edge (e.g., on rugged PTT devices) versus in the cloud to balance latency, battery life, and compute costs. MLOps: Knowledge of model deployment, monitoring, and lifecycle management to ensure AI features do not degrade over time.
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Experienced Referral Payment Plan Yes
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.
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. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s 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. Learn more at www.motorolasolutions.com.