Senior Data & AI Cloud Architect, AWS Professional Services FSI

Amazon is hiring a Senior Data & AI Cloud Architect, AWS Professional Services FSI for a remote role open to applicants in Australia. Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
This is listed as a remote role.
The posting mentions AWS, NLP and cloud architecture among its tools and skills.
Level classes it as a senior role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Serve as a strategic advisor and cloud architect specializing in data, AI/ML, and generative AI solutions for AWS financial services customers.

AWS

nlpcloud-architectureartificial-intelligencemachine-learninggenerative-aidata-analytics

As a Senior Data & AI Cloud Architect in FSI for Data, AI/ML, and Generative AI, you will serve as a pivotal technology and strategic advisor for AWS's key FSI customers across the ANZ region. This role will be part of ProServe Sales. This role requires a deep understanding of AWS technologies, data architectures, AI/ML, and the broader technology ecosystem. You will engage directly with CDOs, CDAOs, CTOs, and CIOs to drive strategic data and generative AI initiatives, ensuring that AWS services align with and enhance our customers' IT and business strategies. Your expertise will help our customers enhance their innovation speed, IT efficiency, and the business value derived from their technological investments.

In this role, the candidate should have hands-on experience in planning and executing complex data & analytics engagements, architecting and implementing complex Cloud Native platforms, and providing consultancy. This, coupled with cross-industry business acumen, will be used to guide and own the sales and delivery of ProServe engagements.

This role will partner with ProServe Sales and AWS Global Sales (AGS) to accelerate customer outcomes and AWS platform adoption.

Key job responsibilities
Strategic Direction and Development:

• Define and develop overall strategic direction for AWS customers and internal AWS teams designing, building, optimizing, transforming, or otherwise migrating applications, software, and services on the AWS platform.
• Partner with AWS Account Manager and ProServe Sales on accelerating innovation, account strategy, and technical execution, aligning to increase business value through cloud adoption, covering people, processes, and technology aspects.
• Engage with C-level executives to guide their strategic technology initiatives and support their data transformation journeys.
• Participate in deep architectural discussions and design exercises to create world-class data solutions and products built on AWS, while ensuring solutions are designed for successful deployment in the cloud.
• Build deep relationships with senior technical individuals within customer organizations to enable them to become cloud advocates.

Leadership and Collaboration:

• Drive the development of outcome-based business-IT solution proposals in collaboration with sales and solution architecture teams.
• Act as the AWS executive technical sponsor for strategic customer initiatives, ensuring alignment with AWS's Global Service offerings and the customer's strategic goals.
• Ensure that solutions across strategic programs adhere to AWS's enterprise architecture and security best practices and principles, and achieve intended business outcomes.
• Mentor and lead internal teams, fostering a culture of innovation and continuous improvement within the organization.
• Capture and share best-practice knowledge, sales, and delivery content amongst the AWS Professional Services community.

Partnership Development:

• Engage with system integrators and strategic Independent Software Vendors (ISVs) across various customer scenarios to enhance solution offerings.
• Identify common patterns in customer needs to drive standardization and repeatability in AWS solutions.

Basic qualifications

- 7+ years of technical specialist, design and architecture experience
- 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience
- 7+ years of consulting, design and implementation of serverless distributed solutions experience
- 5+ years of software development with object oriented language experience
- 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
- 7+ years of external or internal customer facing, complex and large scale project management experience
- Bachelor's degree, or 7+ years of professional or military experience

Preferred qualifications

- Experience in machine learning, data mining, information retrieval, statistics or natural language processing, or experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware
- Knowledge of technical skills such as coding / statistics (python, R, Django, Spark etc.), data visualization, research
- AWS certification, such as, AWS Solutions Architect, or a similar cloud certification, or Cloud Technology Certification
- Hands-on technical experience & expertise in technology automation, implementation, integration, and/or deployment.

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 an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Senior Data & AI Cloud Architect, AWS Professional Services FSI at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Data & AI Cloud Architect, AWS Professional Services FSI is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in AU, NSW, Sydney and is marked remote.
The job was posted on August 7, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

NLPCloud ArchitectureArtificial IntelligenceMachine learningGenerative AIData AnalyticsAWS

Questions you could be asked

What NLP problem have you worked on, and how did you measure whether it actually worked?
Tell me about a project where cloud architecture was part of your work. What did you do?
Tell me about a project where artificial intelligence was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where generative ai was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: NLP, Cloud Architecture, Artificial Intelligence, Machine learning, and Generative AI. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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