Sr Delivery Consultant: Agentic AI FullStack SDE, AWS Professional Services
Amazon Web Services (AWS)
Sr Delivery Consultant: Agentic AI FullStack SDE, AWS Professional Services
AWS Professional Services is seeking a Senior Agentic AI Full Stack Software Development Engineer to lead the design and delivery of end-to-end applications powered by Generative AI and autonomous agents. The role requires deep software engineering, cloud architecture, and GenAI expertise, with 10+ years of full-stack development and 6+ years of cloud architecture experience. Based on-site in Perth, Western Australia, you will set technical direction, architect GenAI and agentic systems, and mentor engineers while delivering secure, production-ready solutions on AWS.
Sr Delivery Consultant: Agentic AI FullStack SDE, AWS Professional Services
AWS Professional Services is seeking a Senior Agentic AI Full Stack Software Development Engineer to lead the design and delivery of end-to-end applications powered by Generative AI and autonomous agents. The role requires deep software engineering, cloud architecture, and GenAI expertise, with 10+ years of full-stack development and 6+ years of cloud architecture experience. Based on-site in Perth, Western Australia, you will set technical direction, architect GenAI and agentic systems, and mentor engineers while delivering secure, production-ready solutions on AWS.
Salary
Core Qualifications
Technical (Must-have)
Soft Skills
Preferred Qualifications
Technical (Nice-to-have)
Key Responsibilities
- 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.
- 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.
- 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.
- 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.
- 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.
- Own Quality and Operational Excellence: Be accountable for the operational health of what your teams ship. Drive testing strategy, security, observability, and production readiness, and hold the bar on maintainable, well-tested code.
- Grow Engineers and Influence Stakeholders: Mentor and grow engineers, including senior engineers, through code reviews, design reviews, and hands-on guidance. Influence senior customer and partner stakeholders on engineering strategy, and leave every team more capable than you found it.