Delivery Consultant: Agentic AI Fullstack Sde, Aws Professional Services

Amazon Amazon · Big Tech · NSW, 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, and utilizing AI-powered development tools. Responsibilities include building frontend and backend services, engineering GenAI solutions with RAG and LLM-backed features, designing and implementing AI agent architectures, and ensuring quality and operational excellence.

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 and Build 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

  • Software engineering
  • Generative AI
  • Cloud architecture
  • Full-stack development
  • Frontend development (React, Next.js, Vue)
  • Backend development (Python, TypeScript, Java)
  • AWS services
  • Infrastructure as Code
  • CI/CD pipelines
  • Prompt engineering
  • RAG pipelines
  • LLM-backed features
  • Conversational interfaces
  • AI agent architectures
  • Multi-agent systems
  • Orchestration frameworks
  • AI-powered coding assistants
  • Agentic IDEs

Nice to have

  • Deep software engineering
  • Proven engineering capabilities
  • Curiosity to invent
  • Emerging protocols (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