Senior ANZ AI & ML Specialist Solutions Architect, AGS Specialists Data and Full-time

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 designing entirely new cloud-based systems. 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 blogs and workshops for customers, partners, and the AWS Technical Field.

AI & ML SSAs combine technical skills in AI & ML with business acumen, and technical sales skills. They are focused on supporting customers throughout the engagement lifecycle and work closely with the teams that support implementation including AWS Professional Services and Partners. SSAs unblock customers and help them get to production faster. Joining AWS as a Specialist Solutions Architect will give you opportunities to work on interesting and challenging problems, collaborate with a group of skilled practitioners focused on delivering outcomes for our customers, and be part of a diverse and inclusive community committed to being Earth’s Best Employer.

SSAs are part of the Amazon Global Sales Organization (AGS) which builds and executes go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. Our teams include business development, specialist sales, and specialist solutions architecture, working together to provide customer-obsessed solutions that help people run their businesses more effectively. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as OneTeam

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.

#aws-ags-ANZ

Key job responsibilities

– Design best in class AI & ML solutions for all stages of customer and product lifecycles.

– Partner with SAs, Sales, Business Development and Service teams to accelerate customer adoption and revenue attainment.

– Thought Leadership – Evangelize and share best practices through forums such as AWS blogs, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc.

– Act as a technical liaison between customers and the AWS teams to provide customer driven product improvement feedback.

– Develop and support an AWS internal community of related subject matter experts.

A day in the life

[What’s It Like to Be A Solutions Architect at AWS ANZ?](https://www.youtube.com/watch?v=aOiNYVIAngs), watch the video to find out what it’s like to be a Solutions Architect at AWS?

About the team

This role is part of the Data and AI specialist team for Australia and New Zealand. As a member of this team you will work with customers and be based out of our Sydney or Melbourne offices. You will focus on customers across New Zealand, working directly with customers across industry verticals, from large Enterprises to start-ups, across all stages of their cloud journey.

Diverse Experiences

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating – that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

BASIC QUALIFICATIONS

– 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience

– 3+ years of design, implementation, or consulting in applications and infrastructures experience

– 10+ years of IT development or implementation/consulting in the software or Internet industries experience

– Knowledge of AI & ML services and solutions (e.g. Amazon SageMaker, Amazon Bedrock, Amazon Q) and their architecture and infrastructure needs

PREFERRED QUALIFICATIONS

– Technical communication skills; able to bridge the gap between business outcomes and technical requirements

– Familiarity with AI & ML and how it is used for modern data solutions

– Cloud expertise as demonstrated by one or more cloud certifications, with AI & ML related discipline highly preferred

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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer, and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected attributes.