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Sr AI Solution Architect, Data & AI Specialist Solutions Architect team

SeniorFull-timeHybridMelbourne VIC, AustraliaPosted 4 months agoVerified 2 months ago
Pending fitX of Y criteria met

About the job

The AI Specialist Solution Architect at Amazon Web Services (AWS) is a hands-on technologist who plays a pivotal role in driving AI adoption. This job is all about crafting scalable and resilient technical architectures that empower customers to tackle complex challenges. The team thrives on collaboration, creativity, and a commitment to delivering exceptional solutions that meet customer needs.

Meet the team

About the company

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You'll be responsible for

🤝

Building technical relationships

The AI Specialist SA team builds technical relationships with customers of all sizes and operates 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.
🔧

Managing technical relationships

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.
📚

Creating technical content

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.

Key criteria

🖥️

7+ years in design and implementation

Experience in applications and infrastructures is essential.

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☁️

5+ years in cloud computing

Specific expertise in software development and systems engineering.

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🔧

Hands-on AWS experience

Proficiency with Bedrock, AgentCore, and SageMaker is crucial.

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5 criteria for this job
7+ years in design and implementation
Experience in applications and infrastructures is essential.

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5+ years in cloud computing
Specific expertise in software development and systems engineering.

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Hands-on AWS experience
Proficiency with Bedrock, AgentCore, and SageMaker is crucial.

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6+ years in production AI systems
Experience in deploying and managing AI solutions is vital.

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Technical Cloud Certification
Relevant certifications enhance credibility and expertise.

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