Principal Software Architect-AI

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 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.

Leadership and Management Lead the 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.

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). Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial