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AWS AI Engineer

BULLIT MANAGEMENT SERVICES LIMITEDSydney, Sydney🇦🇺AustraliaPosted 13 Sept 2026

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Sydney, Sydney, Australia
DynamoDBAPI GatewayAWSGenerative AIPythonREST

Job Description


  • Strong experience with AWS cloud services and modern AI platforms.

  • Hands-on experience with:

  • Amazon Bedrock

  • Bedrock Agents

  • AWS AgentCore

  • Anthropic Claude Models on Amazon Bedrock

  • Experience building production-ready Agentic AI and Generative AI solutions.

  • Strong understanding of:

  • Agentic delivery of the Software Development Lifecycle

  • Automated Testing

  • GitHub

  • AI Guardrails and Responsible AI

  • Experience working with:

  • Experience in model evaluation, model routing, model orchestration, and weighted AI model selection strategies based on performance, latency, and cost optimization.


Development & Agent Frameworks

  • Strong programming experience in:

  • Python

  • REST APIs

  • Hands-on experience with:

  • Autonomous AI Agents

  • Multi-Agent Systems

  • AI Assistants

  • AI Workflow Automation Platforms


Experience with:

  • AWS Lambda

  • API Gateway

  • DynamoDB

  • S3

  • IAM

  • CloudWatch

  • Experience with CI/CD pipelines.

  • Infrastructure as Code

  • Source control

  • AI observability, monitoring, evaluation, and governance frameworks.


Preferred Qualifications

  • AWS Certified Solutions Architect Associate or Professional.

  • Experience delivering enterprise-scale GenAI and Agentic AI programs.

  • Experience building AI applications on Amazon Bedrock.

  • Experience implementing AI coding assistants such as Claude Code and Amazon Q Developer.

  • Experience with regulated industries such as Financial Services, Healthcare, Telecommunications, Government, or Public Sector.


Soft Skills

  • Strong stakeholder engagement and consulting skills.

  • Excellent communication and presentation capabilities.

  • Ability to convert business requirements into innovative AI solutions.

  • Strong analytical and problem-solving mindset.

  • Ability to work effectively across cross-functional teams.

  • Passion for emerging AI technologies and continuous learning.


Success Measures

  • Successful delivery of production-grade Agentic AI solutions.

  • Increased automation through intelligent AI agents.

  • Improved operational efficiency and business outcomes.

  • Adoption of AI best practices, governance, and security standards.

  • Scalable, secure, and measurable AI platforms deployed across enterprise environments.

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