Sr Delivery Consultant: Agentic AI Fullstack Sde, Aws Professional Services

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

Senior Full Stack Software Development Engineer role focused on designing and delivering end-to-end applications powered by Generative AI and autonomous agents within AWS Professional Services. The role involves leading complex technical engagements, architecting GenAI solutions (RAG, LLM-backed features, conversational interfaces), designing AI agent and multi-agent systems, and championing AI-assisted engineering practices. The engineer will also own quality, operational excellence, and mentor other engineers.

What you'd actually do

  1. Own Complex Technical Delivery: Take end-to-end ownership of the largest and most ambiguous problems in an engagement. Define the architecture, break down the work across teams, and deliver cloud-native solutions on AWS that modernize applications and build resilient, distributed, event-driven systems.
  2. Set Technical Direction: Lead architectural decisions across multiple workstreams and teams. Establish engineering standards, patterns, and guardrails that others build on, and make deliberate tradeoffs across performance, cost, security, and time-to-value.
  3. Architect GenAI Solutions: Lead the design of production applications powered by generative AI, including RAG pipelines, LLM-backed features, and conversational interfaces on services like Amazon Bedrock. Set the approach for prompt engineering, grounding, evaluation, and guardrails to deliver accurate, secure, and cost-effective outcomes at scale.
  4. Lead Agentic Systems Design: Architect AI agent and multi-agent systems using emerging protocols (e.g., MCP, A2A) and orchestration frameworks. Drive the reference patterns and reusable components that let teams build autonomous workflows reliably.
  5. Champion the Agentic Way: Set the standard for AI-assisted engineering. Introduce and scale AI-powered coding assistants and agentic IDEs across teams to accelerate coding, testing, code review, and delivery without compromising quality.

Skills

Required

  • Full-stack software engineering
  • Generative AI expertise
  • Cloud architecture expertise
  • Designing and delivering end-to-end applications
  • Architecting GenAI solutions (RAG, LLM-backed features, conversational interfaces)
  • Architecting AI agent and multi-agent systems
  • Orchestration frameworks
  • AWS services (e.g., Amazon Bedrock)
  • Prompt engineering
  • Evaluation of AI models
  • Guardrails for AI
  • AI-assisted engineering practices
  • Technical leadership
  • Mentoring engineers

Nice to have

  • Experience with emerging protocols (e.g., MCP, A2A)
  • Experience with AI-powered coding assistants and agentic IDEs

What the JD emphasized

  • lead the design and delivery of end-to-end applications powered by Generative AI and autonomous agents
  • senior, hands-on Software Development Engineer with deep software engineering, Generative AI, and cloud architecture expertise
  • develop using agentic tools and services
  • architect autonomous systems using services like Amazon Bedrock
  • architect AI agent and multi-agent systems
  • production applications powered by generative AI
  • AI agent and multi-agent systems

Other signals

  • Generative AI
  • autonomous agents
  • AI-powered coding assistants
  • agentic IDEs
  • AI-driven development workflows
  • Amazon Bedrock