Required Skills & Experience

AWS & Agentic AI
Solid experience with AWS cloud services and contemporary AI platforms.
Hands-on experience with:
Amazon Bedrock
Bedrock Agents
AWS AgentCore
Anthropic Claude Models on Amazon Bedrock
Claude Code
Experience building production-ready Agentic AI and Generative AI solutions.

AI Engineering & LLMs
Strong understanding of:
Large Language Models (LLMs)
Agentic delivery of the Software Development Lifecycle
Automated Testing
GitHub
AI Guardrails and Responsible AI
Experience working with:
Anthropic Claude Code
Experience in model evaluation, model routing, model orchestration, and weighted AI model selection strategies based on performance, latency, and cost optimization.

Development & Agent Frameworks
Solid programming experience in:
Python
REST APIs
Microservices Architecture
Hands-on experience with:
Claude Code
Experience developing:
Autonomous AI Agents
Multi-Agent Systems
AI Assistants
AI Workflow Automation Platforms

AWS Cloud Services

Experience with:
AWS Lambda
API Gateway
DynamoDB
S3
IAM
CloudWatch

DevOps & Platform Engineering
Experience with CI/CD pipelines.
Infrastructure as Code
Source control
Claude Code
AI observability, monitoring, evaluation, and governance frameworks.





Preferred Qualifications
AWS Certified AI Practitioner.
AWS Certified Machine Learning Specialty.
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.
Robust 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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📌 Aws Ai Engineer Sydney (Australia)
🏢 BULLIT MANAGEMENT SERVICES
📍 Australia