Senior AI Engineer (US Remote)
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. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.
Department OverviewNoggin, a Motorola Solutions company, is a leader in integrated resilience management technology, offering a next-generation, cloud-based platform that combines 10 essential solutions into one unified system. Our award-winning platform seamlessly integrates operational and third-party risk management, operational resilience, business continuity, incident and crisis management, emergency management, and security and safety operations.
The Product Engineering area is responsible for designing, writing, testing and deploying the code for our software products at Noggin.
Job Description
Join Motorola Solutions as a Senior AI Engineer and help shape the future of AI-powered products and services. Based in Sydney with hybrid flexibility, you'll work at the forefront of generative AI, building production-scale solutions using AWS Bedrock and cutting-edge AI technologies.
As a senior member of our AI engineering team, you'll provide technical leadership, mentor engineers, and drive best practices in GenAI implementation. You'll work directly with Product Management and Software Engineering teams to transform AI use cases from concept to production, ensuring quality, safety, and scalability at every step.
Tech Stack
Core AI Technologies:
AWS Bedrock (Models, Agents, Knowledge Bases, Guardrails)
OpenSearch & Vector Databases
RAG (Retrieval-Augmented Generation) architectures
Agentic frameworks (LangChain, LlamaIndex, or AWS Bedrock Agents)
Development Stack:
Python (AI/ML development & data processing)
NodeJS with TypeScript (backend services)
AWS ecosystem (S3, IAM, CloudWatch, etc.)
AI Engineering Practices:
Prompt engineering & optimization
Model evaluation & testing frameworks
AI observability & monitoring
Responsible AI & safety practices
Skills & Experience
Required:
Bachelor's degree in Computer Science, Software Engineering, or related field
5+ years in software development with 2+ years focused on production AI/GenAI systems
Deep, hands-on experience with AWS Bedrock, Knowledge Bases, and OpenSearch
Proven track record designing and implementing RAG architectures at scale
Proficiency in Python for AI/ML work and NodeJS/TypeScript for backend development
Experience with agentic frameworks and AWS Bedrock Guardrails
Strong understanding of AI/ML concepts: models, agents, embeddings, vector databases
Hands-on experience with prompt engineering and model evaluation methodologies
Knowledge of AI observability, monitoring, and responsible AI practices
Valued:
Experience with multi-modal AI capabilities
Familiarity with model distillation and cost optimization techniques
Background in AI safety, bias detection, or model explainability
Contributions to open-source AI projects or research publications
Key Responsibilities
Technical Leadership: Apply your expertise in GenAI, AWS Bedrock, and related technologies to drive architectural decisions and coach team members
End-to-End AI Development: Design, build, and refine AI use cases including guardrails, evaluation frameworks, and quality assurance
Collaboration: Partner with Product Management and Software Engineering teams to realize AI features from concept to production
Advisory Role: Provide technical guidance to management, team leads, and customers on AI implementation strategies
Community Engagement: Actively contribute to technology chapter meetings and knowledge sharing
What You'll Work On
Building production-scale GenAI applications using AWS Bedrock and foundation models
Implementing RAG systems with Knowledge Bases and vector search
Designing AI agents that can reason, plan, and execute complex workflows
Establishing prompt engineering best practices and evaluation pipelines
Ensuring AI safety through guardrails and responsible AI practices
Optimizing AI system performance, cost, and observability
Target Base Salary Range: $180,000 USD - $210,000 USD
Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate.
Note: Candidates located near the Waltham, MA office with the ability to work a hybrid schedule is preferred.
#LI-MP2
#LI-REMOTE
Basic Requirements
8+ years experience in software development
AND 2+ years with AI/GenAI systems in production environments
AND 2+ years with AWS Bedrock
AND 2+ years with Python for AI/ML development
AND 2+ years with NodeJS/TypeScript for backend services
Legal authorization to work in the U.S. indefinitely is required. Employer work permit sponsorship is not available for this position.
Travel RequirementsUnder 10%
Relocation ProvidedNone
Position TypeExperienced
Referral Payment PlanNo
Our U.S. Benefits include:
Incentive Bonus Plans
Medical, Dental, Vision benefits
401K with Company Match
10 Paid Holidays
Generous Paid Time Off Packages
Employee Stock Purchase Plan
Paid Parental & Family Leave
and more!
EEO Statement
Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.
We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team.
We’re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete this Reasonable Accommodations Form so we can assist you.