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.
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Department Overview
Motorola Solutions is a global leader in public safety and enterprise security. We provide mission-critical communication and data solutions that help our customers make the world safer and more productive.
The Unified Communications team has a mission to become the leader in creating a highly scalable software platform and communication applications for first responders and enterprise workgroups. Our customers rely on these solutions to run their critical business operations in the public safety, manufacturing, and infrastructure sectors. Every single day, we are shaping the future of mobile workgroup solutions for public safety and industrial users worldwide leveraging Motorola’s rich heritage in this space. Our solutions include mission critical broadband Push to Talk (PTT), multimedia messaging, location based collaboration, video streaming with full interoperability with land mobile radio (LMR) systems. The products include client apps on Android, iOS, and Windows. Our backend software can be deployed On-Prem, in private data centers, or in a public cloud infrastructure.
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Job Description
Overview
The Unified Communication team at Motorola Solutions is seeking an accomplished and visionary Senior Manager of Software Engineering to lead our Artificial Intelligence (AI), Machine Learning (ML) and Strategic Project initiatives. This pivotal role involves leading a high-performing engineering team focused on designing, developing, and deploying cutting-edge AI-driven solutions that enhance our unified communication products and services. The ideal candidate possesses a deep technical background in software engineering, a proven track record of managing and mentoring technical teams, and extensive experience in bringing AI/ML models from research, prototypes to production-ready enterprise systems.
Responsibilities
Leadership and Management
Lead, mentor, and grow a team of software engineers, machine learning engineers, and data scientists, fostering a culture of technical excellence, collaboration, and continuous learning.
Define team priorities, allocate resources, manage project timelines, and ensure high-quality, on-time delivery of AI/ML-powered features.
Conduct performance reviews, provide constructive feedback, and support the career development of team members.
Collaborate with product management and cross-functional teams to translate business needs and product requirements into technical specifications and a clear AI/ML roadmap.
Technical Strategy and Execution
Define the technical strategy, architecture, and roadmap for integrating AI and ML capabilities across the Unified Communication product portfolio (e.g., natural language processing for translation, transcription and summarization, predictive analytics, intelligent routing, conversational AI).
Oversee the entire AI/ML lifecycle, from data collection and model training to MLOps, deployment, monitoring, and performance tuning in production environments.
Ensure the engineering team adheres to best practices in software development, including code review, unit testing, continuous integration/continuous deployment (CI/CD), and secure coding standards.
Drive the selection and implementation of appropriate technologies, frameworks, and cloud services (e.g., AWS, Azure, GCP) to support scalable and robust AI infrastructure.
Cross-Functional Collaboration
Partner closely with AI Engineering organization, Research & Developments teams to identify emerging AI technologies, frameworks, platforms and assess their potential for application within the Unified Communications product line.
Work with Data Governance and Legal teams to ensure compliance with data privacy regulations and ethical AI principles
Communicate complex technical concepts and project status effectively to executive leadership and non-technical stakeholders.
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Basic Requirements
Basic Requirements:
Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, or a related technical field.
Minimum of 10 years of professional experience in software engineering, with at least 3 years in a technical leadership or management role directly overseeing AI/ML or data-intensive engineering teams.
Deep practical experience with the full lifecycle of building, deploying, and maintaining production-grade machine learning models (MLOps).
Strong programming skills in languages such as Python and Java/C++, and familiarity with common ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Proven experience designing and implementing scalable cloud-native architectures for AI applications on major platforms (e.g., AWS, Azure, or GCP).
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Preferred Requirements:
Experience in Crafting precise, effective prompts to guide AI models for specific outputs (e.g., text, code, images) and iterative refinement.
Extensive experience in building custom, reusable, proactive, "context-aware" AI assistants that understand specific, recurring contexts like situational factors and technical states that consistently shape how an end user interacts with an application.
Extensive experience in Utilizing AI to structure, clean, and analyze unstructured data for actionable insights and visualization.
Experience in developing Agentic AI solutions for Real Time Mission Critical Audio, Video and Data Communications or closely related enterprise software industry.
Demonstrated ability to drive technical innovation and influence organizational strategy.
Excellent written and verbal communication skills, with the ability to influence technical and non-technical audiences.
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Travel Requirements
Under 10%
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Relocation Provided
None
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Position Type
Experienced
Referral Payment Plan
Yes
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.