We are seeking an experienced Agentic AI Engineer to design, develop, and deploy scalable, production-ready Generative AI and Agentic AI solutions on AWS. The role will focus on building intelligent AI agents, multi-agent systems, AI assistants, and automated workflows using modern LLM technologies.

Key Responsibilities
Design and develop AI agents and multi-agent systems using AWS and contemporary AI technologies.
Build and operationalize solutions using Amazon Bedrock, Bedrock Agents, and AWS AgentCore .
Work with Anthropic Claude models and Claude Code to develop AI-powered applications.
Design AI workflows involving agent orchestration, planning, memory, and tool calling .
Integrate AI solutions with enterprise systems, APIs, databases, and SaaS platforms.
Evaluate and optimise AI models for performance, accuracy, latency, and cost .
Implement AI guardrails, Responsible AI, security, governance, and observability .
Build POCs and scale successful solutions into production environments .
Collaborate with architects, engineers, product teams, and business stakeholders to deliver AI transformation initiatives.

Key Skills & Experience




Strong hands-on experience with AWS and Amazon Bedrock .
Experience with Bedrock Agents and AWS AgentCore .
Robust experience with Anthropic Claude and Claude Code .
Experience with REST APIs and microservices architecture .
Experience building autonomous AI agents, multi-agent systems, AI assistants, or AI workflow automation .
Solid understanding of LLMs, model orchestration, model routing, evaluation, and optimization .
Experience with AWS services including Lambda, API Gateway, S3, DynamoDB, IAM, and CloudWatch .
Experience with CI/CD, Infrastructure as Code, GitHub, automated testing, and AI observability .
Understanding of AI security, guardrails, Responsible AI, and governance .
Proven experience delivering enterprise or production-grade GenAI/Agentic AI solutions .

Preferred
AWS certifications such as AI Practitioner, Machine Learning Specialty, or Solutions Architect .
Experience working with enterprise or regulated environments.
Experience with AI coding assistants such as Claude Code or Amazon Q Developer .

Location

Sydney, NSW
J-18808-Ljbffr

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