Senior AI Engineer (US Remote)

Company OverviewAt 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 DescriptionJoin 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 StackCore AI Technologies:AWS Bedrock (Models, Agents, Knowledge Bases, Guardrails)OpenSearch & Vector DatabasesRAG (Retrieval-Augmented Generation) architecturesAgentic 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 & optimizationModel evaluation & testing frameworksAI observability & monitoringResponsible AI & safety practicesSkills & ExperienceRequired:Bachelor's degree in Computer Science, Software Engineering, or related field5+ years in software development with 2+ years focused on production AI/GenAI systemsDeep, hands-on experience with AWS Bedrock, Knowledge Bases, and OpenSearchProven track record designing and implementing RAG architectures at scaleProficiency in Python for AI/ML work and NodeJS/TypeScript for backend developmentExperience with agentic frameworks and AWS Bedrock GuardrailsStrong understanding of AI/ML concepts: models, agents, embeddings, vector databasesHands-on experience with prompt engineering and model evaluation methodologiesKnowledge of AI observability, monitoring, and responsible AI practicesValued:Experience with multi-modal AI capabilitiesFamiliarity with model distillation and cost optimization techniquesBackground in AI safety, bias detection, or model explainabilityContributions to open-source AI projects or research publicationsKey ResponsibilitiesTechnical Leadership: Apply your expertise in GenAI, AWS Bedrock, and related technologies to drive architectural decisions and coach team membersEnd-to-End AI Development: Design, build, and refine AI use cases including guardrails, evaluation frameworks, and quality assuranceCollaboration: Partner with Product Management and Software Engineering teams to realize AI features from concept to productionAdvisory Role: Provide technical guidance to management, team leads, and customers on AI implementation strategiesCommunity Engagement: Actively contribute to technology chapter meetings and knowledge sharingWhat You'll Work OnBuilding production-scale GenAI applications using AWS Bedrock and foundation modelsImplementing RAG systems with Knowledge Bases and vector searchDesigning AI agents that can reason, plan, and execute complex workflowsEstablishing prompt engineering best practices and evaluation pipelinesEnsuring AI safety through guardrails and responsible AI practicesOptimizing AI system performance, cost, and observabilityTarget Base Salary Range: $180,000 USD - $210,000 USDConsistent 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-REMOTEBasic Requirements8+ years experience in software developmentAND 2+ years with AI/GenAI systems in production environmentsAND 2+ years with AWS BedrockAND 2+ years with Python for AI/ML developmentAND 2+ years with NodeJS/TypeScript for backend servicesLegal authorization to work in the U.S. indefinitely is required. Employer work permit sponsorship is not available for this position.Travel RequirementsUnder 10%Relocation ProvidedNonePosition TypeExperiencedReferral Payment PlanNoOur U.S. Benefits include:Incentive Bonus PlansMedical, Dental, Vision benefits401K with Company Match10 Paid HolidaysGenerous Paid Time Off PackagesEmployee Stock Purchase PlanPaid Parental & Family Leaveand more!EEO StatementMotorola 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.SummaryLocation: Waltham, MA; Florida, US Offsite; New York, US Offsite; Illinois, US Offsite; New Jersey, US Offsite; New Hampshire, US Offsite; Tennessee, US Offsite; Michigan, US Offsite; Wisconsin, US Offsite; Connecticut, US Offsite; Rhode Island, US OffsiteType: Full time