Senior Applied AI Architect, Applied AI & Data Architecture (AIDA)

Full Description

AWS Global Sales drives adoption of the AWS cloud worldwide, enabling

customers of all sizes to innovate and expand in the cloud.

Our team empowers

every customer to grow by providing tailored service, unmatched technology,

and unwavering support.

We dive deep to understand each customer's unique

challenges, then craft innovative solutions that accelerate their success.

This customer-first approach is how we built the world's most adopted cloud.

Join us and help us grow.

The Role

The Amazon Web Services (AWS) Senior Applied AI Architect partners with

customers to design and build some of the most scalable, flexible and

resilient cloud architectures and solutions.

AWS Applied AI Architects

collaborate with AWS Sales and other AWS teams to help address customer

business challenges and accelerate the adoption of AWS services.

As a trusted customer advocate, Applied AI Architects help organizations

understand best practices around advanced cloud-based solutions, and provide

advice on strategies for for building, migrating, and scaling generative AI &

ML workloads in the cloud.

You’ll help drive successful business outcomes

across a broad set of enterprise customers through your passion for educating,

training, designing and building cloud solutions.

As a Senior Applied AI Architect, you will use ML and Generative AI tools,

such as Amazon SageMaker, Amazon Bedrock, Amazon Q and other technologies to

design, evangelize, and implement state-of-the-art solutions for never-before-

solved problems.

You’ll help drive successful business outcomes across a broad

set of customers through your passion for educating, training, designing and

building cloud hosted Generative AI solutions.

You will design and develop generative AI industry solutions that involves

large-scale data processing and modeling.

You will have responsibility to help

define requirements, create solution designs, implement code to these

specifications, and support solutions while deployed and used by our industry

customers.

You will have the opportunity to help shape and execute a strategy

to build deep adoption and broad use of AWS within your customers, and you

will do this by mobilizing resources within AWS and working with our extensive

partner network.

Travel is mostly regional, and is expected to be 15-20%.

Key job responsibilities

• Ensure success in designing, building and migrating applications, software,

and services on the AWS platform.

• Interact with customers directly to understand the business problem, help

and aid them in implementation of their AI/ML ecosystem

• Educate customers on the value proposition of AWS and showcase the art of

possible.

• Participate in deep architectural discussions and design exercises to

create world-class solutions built on AWS while ensuring solutions are

designed for successful deployment in the cloud.

• Author and contribute to AWS customer-facing publications such as

whitepapers, workshops, demos and proof of concepts.

• Build deep relationships with senior technical individuals within customers

to enable them to be cloud advocates.

• Capture and share best-practice knowledge amongst the AWS Architect

community.

About the team

Diverse Experiences

AWS 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.

Inclusive Team Culture

AWS values curiosity and connection.

Our employee-led and company-sponsored

affinity groups promote inclusion and empower our people to take pride in what

makes us unique.

Our inclusion events foster stronger, more collaborative

teams.

Our continual innovation is fueled by the bold ideas, fresh

perspectives, and passionate voices our teams bring to everything we do.

Mentorship & 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.

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.

Basic Qualifications

• 5+ 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

• 7+ years of IT development or implementation/consulting in the software or

Internet industries experience

• Hands on experience architecting and deploying full stack generative AI

workloads to production systems.

Preferred Qualifications

• Experience optimizing production generative AI or Hybrid AI workloads for

optimal cost, latency, and/or resilience

• PhD in Computer Science with specialization in Machine Learning, Deep

Learning, or Natural Language Processing - or - Masters in Computer Science

with strong AI/ML focus

• Knowledge of large scale automation and workflow management or equivalent

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

for more

information.

If the country/region you’re applying in isn’t listed, please

contact your Recruiting Partner.

The base salary for this position ranges from $126,000/year up to

$210,400/year.

Salary is based on a number of factors and may vary depending

on job-related knowledge, skills, and experience.

Amazon is a total

compensation company.

Dependent on the position offered, equity, sign-on

payments, and other forms of compensation may be provided as part of a total

compensation package, in addition to a full range of medical, financial,

and/or other benefits.

Applicants should apply via our internal or external

career site.