GenAI Engineering Manager

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.

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.

Bachelor’s or Master's degree in Computer Science or a related field.
At least 8+ 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: $150,000 - $185,000 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.

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Bachelor’s or Master's degree in Computer Science or a related field.
At least 8+ years of experience in AI/ML, with at least 2 years in a leadership or managerial role.