Senior Solutions Architect, Generative AI, Startups, AWS

Job 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 consistent 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.

Trusted by more startups around the world, AWS makes the power of cloud computing accessible for all by giving founders everywhere access to the same technology that powers the world's largest companies.

With experience gained from supporting hundreds of thousands of startups that have come before, we help founders prove that their world-changing ideas are possible, at any stage of growth or level of funding.

This is why more startups, and over 80% of unicorns, build on AWS.

Startup Solutions Architects work hand in hand with AWS customers to help them make the most of the Cloud.

They are at the crossroads of business and technology and engage with startups of different stages.

Supporting the overall technical relationship between customers and AWS, they work to understand the customer's business needs and give prescriptive guidance on how to create business value with technology.

Solutions Architects also have broader impact at scale, taking a supporting role in creating and presenting technical content and best practices.

In this role you will get to practice your creativity, linking technology to tangible solutions and educating AWS customers about the art of the possible.

You will have the opportunity to refine cloud-native reference architectures for a variety of use cases.

You will have the support to grow your expertise in industry and technology areas of depth.

Every day you will be learning something new from your customers, your peers and your own experiments.

You will be part of a team that is responsible for driving adoption of AWS technologies while bringing differentiated value to customers.

This is a team dedicated to Startups, an important and growing subset of customers for AWS.

Startups follow unique technology adoption patterns and growth trajectories that distinguish them from traditional businesses, so you will be employing engagement strategies and programs tailored to their business needs and technical preferences.

Key job responsibilities

• As a Solutions Architect, you will work directly with customers to accelerate their challenging projects and recommend best-practice architectures in line with their long-term business outcomes.
  
  
• You operate as a trusted advisor for startups.
  
  The best interests of the customer will shape the guidance you provide.
  
  You work backwards from their priorities and find inventive ways to add value with solutions utilizing AWS and its Partners' technology.
  
  
• You capture and share the voice of the customer to influence the roadmap of new features and services for AWS.
  
  You use your customer understanding to participate in the creation or updates of technical content and reference architectures (e.g. white papers, code samples, blog posts).
  
  
• Evangelize and educate about AWS technology (e.g. workshops, user groups, meetups, public speaking, online videos or conferences).
  
  
• To be successful in this role you need to be passionate about startups and cloud architectures.
  
  You are a builder with genuine curiosity about how technology can support your customers' business models and objectives.
  
  You are a lifetime learner that develops areas of depth in technical domains relevant to your interests and your customer's outcomes.
  
  You are prepared to work in a fast-paced environment, where you will be positively challenged and consistently embrace the Amazon Culture.
  
  

A day in the life

The Solutions Architect team at AWS is responsible for helping customers successfully implement cloud technologies.

In a typical week you will meet multiple customers and you will collaborate with them on designing and operating well-architected solutions.

You will earn their trust and show them the art of the possible, educating them around the capabilities of AWS.

Partnering with internal teams and experts, leveraging a deep knowledge of our tools and products, you'll craft highly-scalable, flexible, and resilient cloud architectures that address our customers' business problems.

As part of our team, you'll have the opportunity to continuously learn and innovate daily.

The startup organization at AWS comprises experts from across the global ecosystem, including former founders and CTOs, venture capitalists, angel investors, and mentors who upskill today's founders to navigate challenges and opportunities as they build their business, and our Startup Solutions Architect team is where the magic happens.

is dedicated to working with startup companies as they build and scale their businesses.

We're here to make sure that they can deploy the best, most scalable, and most secure architectures possible – and that they spend as little time and money as possible doing so.

We are a group of technologists with varied backgrounds; from fresh graduates to ex-CTOs, all growing our skills and startup expertise, while working on latest technology use-cases with some of the world's most innovative companies.

For Solutions Architect who like to invent, there's no better place to build than on the AWS Startup SA team.

About the team

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.

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

• Experience with building, validating and deploying GenAI models and applications on cloud infrastructure.
  
  
• Sound knowledge of machine learning fundamentals, with working knowledge of frameworks such as Pytorch, TensorFlow, JAX or MXNet.
  
  
• Knowledge of MLOps tools and workflows for model development, validation, and deployment.
  
  
• High level of communicating effectively across internal and external organizations, with both technical and non-technical audiences.
  
  
• Fluent written and verbal communications skills in English (local language is a plus) with demonstrated ability to communicate technical choices to business and technology stakeholders.
  
  

PREFERRED QUALIFICATIONS

• UAE Nationals with a family book
• Professional experience architecting / operating solutions built on AWS and / or AWS certification (e.g. AWS Solutions Architect Associate or Professional)
• Hands-on experience benchmarking and optimizing performance of models on accelerated computing (GPUs, Trainium / Inferentia, TPU and / or AI ASICs) clusters with high-speed networking.
  
  
• Understanding of technical details and techniques used in tuning generative AI foundation models using techniques like RAG, PEFT, RLHF, DPO
• Experience scaling model training and inference using technologies like Slurm, ParallelCluster, Amazon SageMaker, experience in developing and deploying large scale machine learning or deep learning models and / or systems into production, including batch and real-time data processing.
  
  

Our inclusive culture empowers Amazonians to deliver the best results for our customers.

Required Skill Profession

Other General