Senior AI/ML Engineer, Conversational AI

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August 23

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Motorola Solutions

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Security • Telecommunications • Enterprise

Motorola Solutions is a company that provides a comprehensive safety and security ecosystem, offering technology solutions to protect people, property, and places. The company specializes in critical communications, video security systems, command center solutions, and managed & support services. Their products include mission-critical P25 radios, professional DMR radios, broadband devices, and video security systems powered by AI analytics. Motorola Solutions serves various industries, including public safety, education, healthcare, law enforcement, and more, with a focus on enhancing operational efficiency and response in critical situations. They are committed to delivering solutions that help their customers stay connected, communicate clearly, and act with certainty in the harshest conditions.

10,000+ employees

Founded 1928

🔐 Security

📡 Telecommunications

🏢 Enterprise

📋 Description

• Assist Chat: Motorola Solutions' flagship conversational AI for public safety already live in 9-1-1 centers, patrol vehicles, and real-time crime centers • Build, fine-tune, and evaluate LLMs and task-specific agents for public safety workflows • Develop safe, performant pipelines for retrieval-augmented generation (RAG), structured data injection, summarization, and classification • Collaborate with product, design, and engineering to embed AI directly into real-time workflows • Design and optimize evaluation frameworks, including offline metrics and human-in-the-loop validation • Bridge research and production: speed, hallucination risk, latency, data ambiguity, and feedback integration • Collaborate with AI researchers and responsible AI team to build safe production AI solutions

🎯 Requirements

• Proven ability to communicate technical information effectively in English, both verbally and in writing, with both local and remote teams • 3–8+ years working in ML/AI engineering roles—shipping models or pipelines into production • Familiarity with LLM ecosystems (OpenAI, Claude, Mistral, Llama, etc.) and modern AI stacks (LangChain, LlamaIndex, Ray, Hugging Face) • Experience with RAG pipelines, prompt engineering, prompt chaining, and fine-tuning preferred • Strong programming skills in Python development and testing • Ideally some experience working alongside full-stack engineers • Experience with cloud infrastructure (Azure, AWS, GCP), containerization (Docker/kubernetes), and CI/CD pipelines • Pragmatism—able to operate in applied, real-world settings with real constraints • Bonus: experience with AI safety, model evaluation, or regulated domains