Sr AI Solution Architect, AI Specialist Solutions Architect team

Amazon Inc.; Auckland; On-site; NZD 180,000 - 240,000; Full time

Job summary

Amazon Web Services New Zealand Limited seeks a hands-on Sr AI Solution Architect to lead GenAI/ML initiatives, craft scalable architectures, and guide customers through cloud-based transformations. You will produce technical content and enablement, helping customers accelerate AI adoption with secure, production-ready designs.

You will collaborate with the sales and engineering teams to shape roadmaps and evangelize best practices across GenAI workloads on AWS, delivering high-impact technical

Qualifications

• 7+ years design/implementation in applications and infrastructures.
• 5+ years in technology domains (cloud, systems, security, data & analytics).
• Ability to influence technical decisions and communicate across audiences.
• Hands-on experience with AWS ecosystems (Bedrock, AgentCore, SageMaker) for AI environments.
• Experience deploying AI solutions including LLMs, RAG, vector stores, and MLOps.
• 6+ years designing/implementing production AI systems.
• 5+ years managing technical, customer-facing resources.

Responsibilities

• Build and manage technical relationships with customers, guiding GenAI/ML workloads.
• Advise on security, cost, performance, reliability, and operational efficiency.
• Represent customer voice to influence AWS GenAI/ML roadmap and features.
• Define cloud-native GenAI/ML patterns for diverse use cases.
• Create and share best practices, white papers, and workshops for customers and partners.
• Lead hands-on deep dives and workshops, contributing assets for broader engineering teams.

Skills

AI/ML architecture

Cloud computing

Technical leadership

Solution architecture

Customer facing

MLOps

Education

Cloud Certification (e.g. Solutions Architect)

Master's or PhD in CS/ML/Math

Tools

Bedrock

SageMaker

AgentCore

Job description

Sr AI Solution Architect, AI Specialist Solutions Architect team

Job ID: 10535596 | Amazon Web Services New Zealand Limited

Amazon Web Services (AWS) is leading the next phase of AI adoption and is seeking a hands-on AI Specialist Solution Architect (SSA). AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs.

As part of the AWS sales organization, SSAs work with customers who have complex challenges that require expert-level knowledge to solve. SSAs craft scalable, flexible, and resilient technical architectures that address those challenges. This might involve guiding customers as they refactor an application or design an entirely new cloud-based system.

Specialist SAs play a critical role in capturing customer feedback, advocating for roadmap enhancements and anticipating customer requirements as they work backwards from their needs. As domain experts, SSAs also participate in field engagement and enablement, producing content such as whitepapers, blogs, and workshops for customers, partners, and the AWS Technical Field.

This role focuses on converting AI ambition into programs that can be delivered, operated, and scaled in production environments.

Key job responsibilities

• The AI Specialist SA team builds technical relationships with customers of all sizes and operate as their trusted advisor, ensuring they get the most out of the cloud at every stage of their journey while adopting GenAI/ML and Agentic technologies across their organisation.
• You’ll manage the overall technical relationship between AWS and our customers, making recommendations on security, cost, performance, reliability and operational efficiency to accelerate their challenging GenAI/ML and Agentic projects.
• Internally, you will be the voice of the customer, sharing their needs with regard to their usage of our services impacting the roadmap of AWS GenAI/ML and Agentic features.
• In this role, your creativity will link technology to tangible solutions, with the opportunity to define cloud-native GenAI/ML and Agentic architectural patterns for a variety of use cases.
• You will participate in the creation and sharing of best practices, technical content and new reference architectures (e.g. white papers, code samples, blog posts) and evangelize and educate about running GenAI/ML and Agentic workloads on AWS technology (e.g. through workshops, user groups, meetups, public speaking, online videos or conferences).
• Technical Leadership & Mentorship: Lead hands‑on deep dives and technical workshops, contributing reusable code, reference architectures, and internal technical assets for the broader engineering organization.

About the team

#genai

Basic Qualifications

• 7+ years of design, implementation, or consulting in applications and infrastructures experience
• 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
• Ability to influence customer and internal business decision makers as a technical thought leader and ability to effectively communicate across an increasing diversity of audiences internally and externally
• Hands‑on experience with AWS ecosystems (including Bedrock, AgentCore, and SageMaker) to set up secure, private‑network AI environments, and practical experience implementing Retrieval‑Augmented Generation using embeddings, vector stores, and semantic search optimization.
• Experience implementing AI solutions that can include integration of LLMs/multi‑modal FMs in large scale systems, fine‑tuning LLMs, deployment and distributed inference of LLMs, RAG, FM evaluation, Vector DBs, Agentic workflows, prompt/context engineering, and MLOps.
• 6+ years of design/implementation of production AI systems
• 5+ years management of technical, customer facing resources

Preferred Qualifications

• Cloud Technology Certification (such as Solutions Architecture, Cloud Security Professional or Cloud DevOps Engineering)
• Ability to lead a team or small organization‑wide initiative with business objectives that are partially defined. Strong ability to determine solution strategy and where to simplify or extend solutions for the best outcome
• Proven ability to lead projects with complex challenges with extensible, operationally excellent, cost optimized, and aligned solutions outcomes
• Technical Cloud Certification & Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field, or PhD
• Experience in running & fine‑tuning Large and Small Language Models using advance techniques like LoRA/QLoRA, Instruction Tuning, and RLHF to optimize for specific domain tasks.
• Expertise in architecting AI systems within highly regulated or security‑sensitive environments (e.g., Financial Services, Healthcare, Public Sector).

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Posted: September 9, 2026 (Updated 6 days ago)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.