Job Description
Company Overview
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.
Department Overview
A smarter store starts with smarter communication. Theatro, our user-friendly, voice-driven AI platform provides retail workers with real-time, discreet, and efficient communication — helping them stay safe and productive while delivering top-notch customer service.
Job Description
Oversee the design, development, and deployment of Digital workflows using GenAI LLM models and applications.
Define and drive the product roadmap for Gen AI capabilities within a wearable voice platform, from intent recognition to real-time AI agent orchestration.
Design AI behaviors that can reason, recall, and act autonomously in response to multi-turn, real-world voice interactions.
Architect and implement end-to-end generative AI pipelines—covering speech-to-text (ASR), LLM-based reasoning, retrieval-augmented generation (RAG), and text-to-speech (TTS).
Lead the development of context-aware, multimodal AI agents capable of real-time voice interaction, memory retention, and adaptive decision-making.
Enable intelligent agent orchestration across devices and environments.
Collaborate with cross-functional teams (product, design, data science) to define project scopes and deliverables.
Drive end-to-end project execution, from research exploration, cost and LLM model selection.
Qualifications:
Bachelor’s or Master's degree in Computer Science or a related field.
At least 7+ years of experience in AI/ML, with at least 2 years in a leadership or managerial role.
Experience managing teams in software development environment
Excellent communication skills both written and verbal
Strong analytical and problem-solving abilities
Proven track record of success working in complex environments
Target Base Salary Range: $130,000 - $178,600 USD
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.
#LI-RS1
Basic Requirements
Bachelor’s or Master's degree in Computer Science or a related field.
At least 7+ years of experience in AI/ML, with at least 2 years in a leadership or managerial role.
Travel Requirements
Under 10%
Relocation Provided
None
Position Type
Experienced
Referral Payment Plan
YesOur 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.
Motorola Solutions
7 jobs posted
About the job
Feb 18, 2026
Mar 20, 2026
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