Artificial Intelligence Engineer

Umbrella Club; Sydney; On-site; AUD 170,000 - 230,000; Full time

Job summary

Umbrella Club seeks an experienced Agentic AI Engineer to design, develop, and deploy scalable, production-ready Generative AI and Agentic AI solutions on AWS. The role focuses on building intelligent AI agents, multi-agent systems, AI assistants, and automated workflows using modern LLM technologies.

The candidate will design AI workflows involving orchestration, memory, and tool calls, integrating AI with enterprise systems and APIs.

Qualifications

• Experience designing AI agents and multi-agent systems.
• Production-grade GenAI solutions on AWS required.
• Experience with guardrails, security, and observability for AI.
• Strong REST APIs and microservices background.

Responsibilities

• Design and develop AI agents and multi-agent systems on AWS.
• Operationalize Bedrock-based solutions and AI workflows.
• Collaborate with architects, product teams and stakeholders.
• Build AI assistants, autonomous agents, and tool calling workflows.
• Evaluate models for performance, latency, and cost.

Skills

AWS Bedrock

Bedrock Agents

Anthropic Claude

REST APIs

AI agent development

LLMs orchestration

AWS Lambda & API Gateway

Model routing & evaluation

Tools

Amazon Bedrock

Bedrock Agents

AWS AgentCore

Lambda

API Gateway

S3

DynamoDB

IAM

CloudWatch

CI/CD

GitHub

Infrastructure as Code

Job description

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 modern 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.
• Strong 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.
• Strong 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