Data Scientist - Technical Ai Solutions

Quantium; Sydney; Remote; AUD 180,000 - 240,000; Full time

Job summary

Amazon Web Services is seeking a Senior Solutions Architect for GenAI startups in ANZ/APJ to guide model development, training, and deployment. The role involves architecture reviews, mentoring startups, and creating technical content.

Based in Singapore with up to ~30% travel across ANZ, you will influence CTOs and experts, shape go-to-market strategy, and present at events to accelerate time to service launch.

Qualifications

• 8+ years of software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics experience.
• 8+ years of design, implementation, or consulting in applications and infrastructures.
• 8+ years of IT development or consulting in software or Internet industries.

Responsibilities

• Understand generative AI model development challenges and propose optimal computing resources and AWS architectures.
• Influence CTOs and technical decision-makers at ANZ startups.
• Stay current with AWS services for generative AI model development and drive improvements.
• Collaborate with sales, BD, and global service development on ANZ strategy.
• Create technical content (blogs, code samples, demos) to help startups solve challenges.
• Deliver technical presentations on generative AI at AWS events across ANZ.
• Provide feedback to AWS service teams to drive improvements.

Skills

Software development

Cloud computing

Systems engineering

Infrastructure

Security

Networking

Data & analytics

Executive communication

LLMs deployment

Education

Master’s degree or equivalent

Job description

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Snr. Solutions Architect, GenAI Startups, ANZ, APJ SUP Frontier AI SA

Description
Are you interested in supporting Australia and New Zealand (ANZ) startups challenging the development of generative AI foundation models and large language models? Would you like to leverage your entrepreneurial experience, development capabilities, technical expertise, business knowledge, and communication skills? Amazon Web Services is seeking a Solutions Architect based in Singapore to support ANZ startups tackling model development through architecture reviews and technical mentoring.
We are looking for candidates who can lead discussions on effective training and inference environments using AWS, along with associated cloud architectures, through face‑to‑face and written communication with customers, drawing from deep technical insights in model training and inference. This role may have ~30% travel across ANZ countries to engage directly with customers onsite and provide hands‑on technical support. We also welcome those interested in improving and enhancing AWS services to make them more accessible for startup customers.
Additional responsibilities include supporting Go‑to‑Market initiatives for customer‑developed models, strategic planning with regional and international Generative AI team members, speaking at events, writing blog posts, and participating in community activities.
The ideal candidate will enjoy supporting the growth of startup companies challenging the development of generative AI foundation models and large language models from both technical and business perspectives across the ANZ.

Key job responsibilities

• Understand customer challenges in generative AI foundation model (generative AI model) development, training, fine‑tuning, and inference across customers in ANZ, and propose optimal computing resources, storage solutions, and AWS architectures.
• Influence and build trust with CTOs and technical decision‑makers at generative AI startups throughout the ANZ area.
• Stay current with AWS services and mechanisms needed for generative AI model development through customer conversations, and drive improvements.
• Collaborate with internal stakeholders including sales, business development, and global service development teams on strategic planning for the ANZ area.
• Author and develop technical content such as blog posts, sample code, and demos to help generative AI startups solve technical challenges and accelerate time to service launch.
• Deliver technical presentations and discussions on generative AI with customers at AWS events across ANZ.
• Provide feedback on startup requirements to AWS service teams and contribute to service improvements.

A day in the life

The AWS Startup Solutions Architecture team is dedicated to working with startup companies as they build their businesses. We're here to help them deploy the best, most scalable, most secure, cost‑effective and easy to operate architectures.

Startups are the large enterprises of the future. These young companies are founded by ambitious people who have a desire to build something meaningful and to challenge the status quo. To address underserved customers or to challenge incumbents. They usually operate in an environment of scarcity: whether that's capital, engineering resource, or experience.

About the team

The AWS Startup Solutions Architect team provides technical support to startup companies across a wide range of stages, from pre‑launch to exit. You will grow personally while being inspired by entrepreneurial team members who are passionate about supporting the growth of ANZ startups. You will work in collaboration with other teams such as sales, business development, and marketing. As we report directly to the Asia Pacific and Japan organization, you can work on a global stage while sharing best practices with teams in other countries. Our team members have diverse career backgrounds, including development engineers, project leaders, machine learning specialists, and former CTOs. Let’s create a new chapter in the history of ANZ startups together.

Basic Qualifications

• 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience.
• 8+ years of design, implementation, or consulting in applications and infrastructures experience.
• 8+ years of IT development or implementation/consulting in the software or Internet industries experience.
• Experience communicating across technical and non‑technical audiences, including executive level stakeholders or clients.
• Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware.

Preferred Qualifications

• Experience working with end user or developer communities.
• 2+ years of deep learning, computer vision, human robotic interaction, algorithms implementation experience.
• Experience influencing C‑level executives / start‑ups.
• Experience leading teams and driving results through team members.
• Master’s degree or equivalent in computer science, machine learning, engineering, or related fields, or experience working with or evaluating AI systems.

Employment Terms

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