GenAI Engineering Leader — Wearable Voice AI Platform

Motorola Solutions; Richardson (TX); Hybrid; USD 150,000 - 175,000; Full time

Benefits offered by this job

Incentive bonus plans

Medical, Dental, Vision benefits

401K with Company Match

10 Paid Holidays

Generous Paid Time Off

Employee Stock Purchase Plan

Paid Parental & Family Leave

Job summary

Motorola Solutions in Richardson, TX seeks a GenAI Engineering Manager to oversee the design, development, and deployment of Digital workflows using GenAI LLM models and applications.

You will define the product roadmap for Gen AI capabilities within a wearable voice platform, from intent recognition to real-time AI agent orchestration, and lead end-to-end AI pipelines across ASR, reasoning, retrieval, and TTS.

Qualifications

• Bachelor’s or Master’s degree in Computer Science or a related field.
• 8+ years in AI/ML with 2+ years in a leadership/managerial role.
• Experience managing teams in a software development environment.

Responsibilities

• Oversee design, development, and deployment of GenAI workflows and applications.
• Define and drive the product roadmap for Gen AI in wearable voice platform.
• Design AI behaviors for multi-turn voice interactions and autonomous action.
• Architect end-to-end AI pipelines: ASR, LLM reasoning, RAG, TTS.
• Lead context-aware, multimodal AI agents with real-time interaction.
• Collaborate with product, design, and data science to define scopes and deliverables.
• Drive end-to-end project execution from research to model selection and cost.

Skills

AI/ML leadership

Team management

Communication skills

Analytical thinking

Education

Bachelor's or Master's in CS or related field

Job description

Motorola Solutions in Richardson, TX seeks a GenAI Engineering Manager to oversee the design, development, and deployment of Digital workflows using GenAI LLM models and applications.

You will define the product roadmap for Gen AI capabilities within a wearable voice platform, from intent recognition to real-time AI agent orchestration, and lead end-to-end AI pipelines across ASR, reasoning, retrieval, and TTS.