Senior Specialist Data and AI Solution Architect, NZ, AGS Specialist Data 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.

Data and AI SSAs combine technical skills in data, analytics, and AI 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.

Specialist Solutions Architects are part of the Amazon Global Sales Organization (AGS) which builds and executes go-to-market plans that turn AWS ideas into our impactful outcomes for customers. 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

Amazon’s Culture

Inclusive Team Culture

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have 13 employee-led affinity groups, innovative benefit offerings, and host annual and ongoing learning experiences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance

Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member.

#aws-ags-ANZ

Key job responsibilities

1. Design best in class data and AI solutions for all stages of customer and product lifecycles.

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

3. 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.

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

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

A day in the life

Watch this 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 AWS’s Auckland 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.

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 data and AI services and solutions (e.g. data lakes, data warehouses, big data, search, streaming, machine learning and GenAI) and their architecture and infrastructure needs

PREFERRED QUALIFICATIONS

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

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