Principal Solutions Architect - AI

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Position Overview

The Unified Communication team at Motorola Solutions is seeking a visionary Principal AI Architect to spearhead our AI-first transformation strategy. This high-impact leadership role focuses on reimagining our product portfolio by leveraging AI as a strategic partner and assistant to solve and simplify complex customer workflows. You will be responsible for the architectural blueprint that integrates cutting-edge AI-driven solutions into production-ready enterprise systems for real-time mission-critical communications.

Key Responsibilities

AI-First Transformation & Strategic Leadership

• Define and drive the technical strategy, architecture, and roadmap for an AI-first transformation across the Unified Communication product portfolio.

• Serve as a strategic leader in identifying opportunities where AI can act as a partner or assistant to simplify customer workflows and enhance user experience.

• Partner closely with AI Engineering organizations and R&D teams to identify and assess emerging AI technologies, frameworks, and platforms for application within the UC product line.

Architectural Excellence & Execution

• Lead the design and deployment of advanced AI capabilities, including natural language processing for translation, transcription, summarization, and intelligent routing.

• Oversee the entire AI/ML lifecycle, ensuring robust MLOps, deployment, monitoring, and performance tuning in production environments.

• Drive the selection and implementation of scalable cloud-native architectures (AWS, Azure, GCP) to support robust AI infrastructure.

Workflow Innovation & Collaboration

• Develop Agentic AI solutions tailored for Real-Time Mission Critical Audio, Video, and Data Communications.

• Design context-aware AI assistants that understand recurring situational factors and technical states to shape how end-users interact with applications.

• Collaborate with product management and legal teams to ensure compliance with data privacy regulations and ethical AI principles.

​Preferred Qualifications

• Deep practical experience with the full lifecycle of building, deploying, and maintaining production-grade machine learning models (MLOps).

• Strong programming skills (Python, Java, or C++) and expert proficiency in ML frameworks like TensorFlow or PyTorch.

• Proven track record of building custom, proactive, context-aware AI assistants for enterprise applications.

• Extensive experience in developing Agentic AI solutions for mission-critical software industries.

• Expertise in prompt engineering and utilizing AI to analyze unstructured data for actionable insights.

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• Bachelor’s or higher in Computer Science, AI, Engineering, or a related technical field.

• Minimum of 12 years of professional experience in software engineering, with significant experience in high-level architectural leadership for AI/ML or data-intensive systems.