below marketmost similar roles pay hereabove market
This role pays less than
81%
of similar roles. Most pay
$175,918–$244,625
— the blue band above.
At the midpoint, this role pays about
$162k
versus about
$210k
for comparable roles.
Based on 240 similar postings.
Employer
About Motorola Solutions
Motorola Solutions, Inc. (NYSE: MSI) is a leading American technology company providing mission-critical communications, video security, and analytics for public safety and enterprise customers.
Motorola Solutions currently has
156 open roles
on FindRole.
Listed pay typically runs
$100,000–$135,000
across 120 roles with salary data.
The Principal Solutions Architect - AI joins the Unified Communications team to spearhead an AI-first transformation strategy for mission-critical communication products. This role involves defining the technical roadmap and architectural blueprint to integrate AI-driven solutions into production-ready enterprise systems. You will lead the design and deployment of advanced capabilities including natural language processing for translation, transcription, and intelligent routing. Key responsibilities include overseeing the full MLOps lifecycle, developing Agentic AI solutions for real-time audio, video, and data communications, and designing context-aware assistants. Required skills include proficiency in Python, Java, or C++, and frameworks like TensorFlow or PyTorch. You will utilize AWS, Azure, and GCP to build scalable cloud-native architectures that simplify complex workflows for public safety and industrial users.
What does a Solutions Architect earn?
Median $196750 from 116 postings across 35 companies.
Define and drive the technical strategy, architecture, and roadmap for an AI-first transformation across the Unified Communication product portfolio.
Lead the design and deployment of advanced AI capabilities including NLP 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 on AWS, Azure, or GCP to support AI infrastructure.
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 improve user interaction.
Partner with R&D teams to identify and assess emerging AI technologies, frameworks, and platforms for the product line.
Ensure compliance with data privacy regulations and ethical AI principles in collaboration with product management and legal teams.
What we're looking for
Bachelor’s or higher in Computer Science, AI, Engineering, or a related technical field.
Minimum of 12 years of professional experience in software engineering.
Significant experience in high-level architectural leadership for AI/ML or data-intensive systems.
Deep practical experience with the full lifecycle of building, deploying, and maintaining production-grade machine learning models (MLOps) (preferred).
Strong programming skills in Python, Java, or C++ (preferred).
Expert proficiency in ML frameworks like TensorFlow or PyTorch (preferred).
Proven track record of building custom, proactive, context-aware AI assistants for enterprise applications (preferred).
Extensive experience in developing Agentic AI solutions for mission-critical software industries (preferred).
AI
LLM
Agentic Workflows
Vector Search
AI Orchestration
Distributed Systems
APIs
Cloud-Native
Data Platforms
AI Governance
Observability
Security
Privacy
Compliance
AI
Agentic Systems
Model Serving
Multi-model Orchestration
AWS
GCP
Azure
API
MCP
infrastructure-as-code
FinOps
Responsible AI
Model Evaluation
Guardrails