Delivery Consultant: Agentic AI Fullstack Sde, Aws Professional Services

Amazon Amazon · Big Tech · VIC, Australia +1 · Software Development

Full-stack Software Development Engineer role focused on building end-to-end applications powered by Generative AI and Agentic AI on AWS. The role involves working directly with customers to deliver complex technical engagements, architecting and shipping cloud-native solutions, developing responsive frontend and scalable backend services, and engineering GenAI solutions using services like Amazon Bedrock. Emphasis on designing and implementing AI agent architectures, multi-agent systems, and utilizing AI-powered development tools.

What you'd actually do

  1. Deliver Software with Customers: Work hands-on alongside customer engineering teams to translate business requirements into working software. Architect and ship cloud-native solutions on AWS, modernize existing applications, and build distributed, event-driven systems.
  2. Build Full-Stack Applications: Develop responsive frontend interfaces (e.g., React, Next.js, Vue) and scalable backend services (e.g., Python, TypeScript, Java) end-to-end, deploying on AWS with Infrastructure as Code and CI/CD pipelines.
  3. Engineer GenAI Solutions: Build applications powered by generative AI, including RAG pipelines, LLM-backed features, and conversational interfaces on services like Amazon Bedrock. Apply prompt engineering, grounding, evaluation, and guardrail techniques to deliver accurate, secure, and cost-effective outcomes.
  4. Design Agentic Systems: Design and implement AI agent architectures and multi-agent systems using emerging protocols (e.g., MCP, A2A) and orchestration frameworks to automate meaningful customer workflows.
  5. Build the Agentic Way: Use AI-powered coding assistants and agentic IDEs as part of your daily workflow, and champion these methodologies to accelerate coding, testing, code review, and delivery for your team and your customers.

Skills

Required

  • Full-stack development
  • Generative AI
  • Cloud architecture
  • AWS services
  • Agentic tools and services
  • Prompt engineering
  • RAG pipelines
  • LLM-backed features
  • Conversational interfaces
  • Guardrail techniques
  • AI agent architectures
  • Multi-agent systems
  • Orchestration frameworks
  • AI-powered coding assistants
  • Agentic IDEs
  • CI/CD pipelines
  • Infrastructure as Code

Nice to have

  • React
  • Next.js
  • Vue
  • Python
  • TypeScript
  • Java
  • MCP
  • A2A

What the JD emphasized

  • Agentic AI
  • Generative AI
  • AWS Bedrock
  • full-stack software engineer
  • end-to-end applications

Other signals

  • Generative AI
  • Agentic AI
  • AWS Bedrock
  • Full-stack development