Senior AI Engineer (Sydney, Australia Hybrid)

Company Overview

At Motorola Solutions we believe that everything starts with our people. Were 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 thats 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 Overview

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 youll 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 youll provide technical leadership mentor engineers and drive best practices in GenAI implementation. Youll 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:

• Bachelors 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 Youll 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

Basic Requirements

• 5 years experience in software development

• AND 2 years with AI/GenAI systems in production environments

• AND 2 years with AWS Bedrock Knowledge Bases or similar managed AI services

• AND 3 years with Python for AI/ML development

• AND 2 years with NodeJS/TypeScript for backend services

Travel Requirements

Relocation Provided

Position Type

Referral Payment Plan

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 youd like to join our team but feel that you dont quite meet all of the preferred skills wed still love to hear why you think youd be a great addition to our team.