Job Description

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- Strong experience with AWS cloud services and modern AI platforms.
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- Hands-on experience with:
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- Amazon Bedrock
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- Bedrock Agents
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- AWS AgentCore
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- Anthropic Claude Models on Amazon Bedrock
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- Experience building production-ready Agentic AI and Generative AI solutions.
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- Strong understanding of:
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- Agentic delivery of the Software Development Lifecycle
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- Automated Testing
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- GitHub
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- AI Guardrails and Responsible AI
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- Experience working with:
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- Experience in model evaluation, model routing, model orchestration, and weighted AI model selection strategies based on performance, latency, and cost optimization.
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Development & Agent Frameworks

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- Strong programming experience in:
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- Python
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- REST APIs
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- Hands-on experience with:
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- Autonomous AI Agents
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- Multi-Agent Systems
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- AI Assistants
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- AI Workflow Automation Platforms
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Experience with:

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- AWS Lambda
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- API Gateway
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- DynamoDB
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- S3
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- IAM
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- CloudWatch
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- Experience with CI/CD pipelines.
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- Infrastructure as Code
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- Source control
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- AI observability, monitoring, evaluation, and governance frameworks.
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Preferred Qualifications

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- AWS Certified Solutions Architect Associate or Professional.
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- Experience delivering enterprise-scale GenAI and Agentic AI programs.
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- Experience building AI applications on Amazon Bedrock.
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- Experience implementing AI coding assistants such as Claude Code and Amazon Q Developer.
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- Experience with regulated industries such as Financial Services, Healthcare, Telecommunications, Government, or Public Sector.
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Soft Skills

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- Strong stakeholder engagement and consulting skills.
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- Excellent communication and presentation capabilities.
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- Ability to convert business requirements into cutting-edge AI solutions.
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- Strong analytical and problem-solving mindset.
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- Ability to work effectively across cross-functional teams.
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- Passion for emerging AI technologies and continuous learning.
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Success Measures

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- Successful delivery of production-grade Agentic AI solutions.
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- Increased automation through intelligent AI agents.
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- Improved operational efficiency and business outcomes.
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- Adoption of AI best practices, governance, and security standards.
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- Scalable, secure, and measurable AI platforms deployed across enterprise environments.
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📌 AWS AI Engineer (New South Wales)
🏢 BULLIT MANAGEMENT SERVICES
📍 New South Wales