Senior AI/ML Engineer, Conversational 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. Our critical communications, video security and command center technologies support public safety agencies and enterprises alike, enabling the coordination that’s critical for safer communities, safer schools, safer hospitals and safer businesses. Connect with a career that matters, and help us build a safer future.

Department Overview

Community & Intelligence Engineering. The product is Assist Chat.

Job Description

Why This Role

Assist Chat is our flagship conversational AI for public safety—already live in 9-1-1 centers, patrol vehicles, and real-time crime centers. We’ve built the interface. We’ve embedded it into workflows. Now we’re scaling the intelligence behind it.

This AI/ML Engineer role is an opportunity to push the frontier of how public safety professionals interact with language models in high-stakes environments.

Your Mission

• 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—no labs, no “eventual” use cases.
• Design and optimize evaluation frameworks, including offline metrics and human-in-the-loop validation.
• Work on problems that bridge research and production: speed, hallucination risk, latency, data ambiguity, and feedback integration.
• Collaborate with AI researchers and responsible AI team to build the best possible AI solutions for our customers.

What You Bring

• 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 (and 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.

Why You Might Join

• You want to move fast without compromising safety—and you care about what your AI touches.
• You’re looking for a team that’s already shipping—and will put your work into production quickly.
• You’re motivated by a mission that’s hard to fake: getting first responders the right info, right now.
• You want to be the first AI/ML hire on a flagship product, helping shape both the direction and the foundation.

Basic Requirements

What You Bring

• 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 (and 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.

#LI-WC1

Travel Requirements

None

Relocation Provided

None

Position Type

Experienced

Referral Payment Plan

Yes