Senior AI Engineer

Motorola Solutions

Confirmed live 2 days ago High trust
Remote

Quick summary

Work type
Remote
Location
Waltham, MA
Salary
$180,000–$210,000 / yr
Posted
36 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $206k
This role $195k
$155k most similar roles pay here $263k

This role pays less than 58% of similar roles. Most pay $165,825–$246,150 — the shaded band above. At the midpoint, this role pays about $195k versus about $206k 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 135 open roles on FindRole.

Listed pay typically runs $106,500–$140,000 across 117 roles with salary data.

Most-posted roles

View all roles at Motorola Solutions

At a glance

TL;DR · Senior AI Engineer

Senior AI Engineer will join the Product Engineering team to shape the future of AI-powered products and services within an integrated resilience management platform. This role involves providing technical leadership, mentoring engineers, and driving best practices in generative AI implementation. The successful candidate will collaborate with Product Management and Software Engineering teams to transform AI use cases from concept to production while ensuring quality, safety, and scalability. Day-to-day responsibilities include building production-scale applications using AWS Bedrock, implementing RAG architectures with Knowledge Bases and vector databases, and designing agentic frameworks like LangChain or LlamaIndex. The technical stack includes Python for AI/ML development, NodeJS with TypeScript for backend services, and the broader AWS ecosystem. Key competencies involve prompt engineering, model evaluation, AI observability, and responsible AI practices to solve complex problems in risk management and emergency response.

What does a AI Engineer earn in Massachusetts?

Median $246150 from 62 postings across 4 companies.

See salary data

What you'll do

  • Build production-scale generative AI applications using AWS Bedrock and foundation models.
  • Design and implement RAG architectures utilizing Knowledge Bases and vector databases.
  • Develop AI agents capable of reasoning, planning, and executing complex workflows.
  • Establish prompt engineering best practices and robust model evaluation pipelines.
  • Implement AI safety measures through guardrails and responsible AI practices.
  • Optimize AI system performance, cost efficiency, and observability monitoring.
  • Provide technical leadership and mentorship to engineers on GenAI implementation.
  • Translate AI use cases from initial concepts into production-ready software features.

What we're looking for

  • Bachelor's degree in Computer Science, Software Engineering, or a related field.
  • Legal authorization to work in the U.S. indefinitely.
  • 8+ years of experience in software development.
  • 2+ years of experience with AI/GenAI systems in production environments.
  • 2+ years of experience with AWS Bedrock.
  • 2+ years of experience with Python for AI/ML development.
  • 2+ years of experience with NodeJS/TypeScript for backend services.
  • Proven expertise in RAG architectures, agentic frameworks, and prompt engineering.

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