Amazon Web Services (AWS) is leading the next phase of AI adoption and is seeking a Senior AI Partner Solutions Architect (PSA) to join our ANZ Partner Solutions Architecture team. In this role, you will be a strategic member of the team, working directly with our most strategic consulting and technology partners to accelerate Generative AI, Agentic AI, and ML adoption across Australia and New Zealand.
As a Sr. AI Partner Solutions Architect, you will act as a trusted technical advisor to partners and their customers, converting AI ambition into programs and assets that can be delivered, operated, and scaled in production environments. You will combine deep AI/ML expertise with strong relationship-building skills to define cloud-native GenAI and Agentic AI architectural patterns, shape partners' AI technical strategies, and drive measurable customer outcomes through partner solutions.
The ideal candidate will possess an expansive hands-on experience designing and implementing production AI systems, along with demonstrated ability to influence technical and business decision-makers. You will think strategically about how emerging AI capabilities can solve real-world business challenges, and act as a thought leader whom partners and customers are eager to engage with.
Key job responsibilities
- Own the technical AI/ML relationship with our most strategic partners in ANZ, acting as their trusted advisor on Generative AI, Agentic AI, and ML adoption, architecture, and go-to-market strategy.
- Architect scalable AI/ML solutions with partners using AWS services, guiding designs from ideation through production deployment including agentic workflows, RAG implementations, and multi-agent orchestration patterns.
- Design and deliver AI-focused enablement programs: workshops, reference architectures, code samples, and best-practice guides, that uplift partner AI capability at scale.
- Contribute thought leadership through whitepapers, blogs, event presentations, and hands-on deep dives that help partners and customers innovate with AI and ML technologies.
- Collaborate cross-functionally with Account SAs, AI Specialists, Sales, Business Development, and AWS service teams to accelerate customer adoption of partner AI solutions.
- Act as voice of the partner internally, channelling feedback to influence the AWS GenAI/ML and Agentic features roadmap.
- Build deep relationships with senior technical leaders within partner organisations and evangelise their AI value propositions internally and externally.
About the team
The ANZ Partner Solutions Architecture team builds the most technically capable partner community in Australia and New Zealand. We work with AWS's most strategic consulting and technology partners, helping them grow their AI practices and jointly solve customers' biggest challenges using Generative AI, Agentic AI, and modern data platforms. We stay at the forefront of AWS AI services, translating expertise into workshops, reference architectures, and scalable mechanisms. Our inclusive culture empowers every team member to contribute their unique perspective while prioritising partnerships built on trust and transparency.
- 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 5+ years of design and implementation of production AI/ML systems, including recent experience with Generative AI, large language models, or agentic AI solutions
- Experience implementing AI solutions that may include integration of LLMs/multi-modal foundation models, RAG, vector databases, agentic workflows, prompt engineering, and MLOps
- Experience communicating with and presenting to technical and non-technical executive audiences, including C-level stakeholders
- Experience with agentic AI solution frameworks (e.g., LangGraph, CrewAI, ADK) and complex agentic patterns (e.g., ReAct, self-reflection, hierarchical delegation)
- Hands-on experience with AWS AI ecosystem including Amazon Bedrock, Amazon Bedrock AgentCore, Amazon Quick, Kiro, Amazon SageMaker, and AWS Strands Agents SDK.
- Working familiarity with AI developer tooling from AWS partners such as Anthropic Claude Code, OpenAI Codex, or similar AI-powered development platforms.
- Hands-on-experience on multi-agent orchestration patterns, Model Context Protocol (MCP), Agent-to-Agent (A2A) protocols, and memory management strategies.
- Experience in running and fine-tuning large and small language models using techniques such as LoRA/QLoRA, instruction tuning, and RLHF.
- Working knowledge of "Large Language Models (LLMs)-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
