Amazon Jobs

Description

Are you passionate about Generative AI (GenAI)? Interested in applying cutting-edge Generative AI solutions to solve real-world problems with significant impact? The Strategic Accounts Specialist Solutions Architecture (SSA) team at AWS is a strategic team that helps some of AWS’s largest customers develop solutions using AWS, partner and open source software across the analytics, GenAI, database and storage domains. As a GenAI Solution Architect, you will partner with customers and other AWS teams to help customers design, build and deploy GenAI models to power applications and use cases for some of AWS’s largest and most innovative customers. You will engage with product owners to influence product direction and help our customers tap into new markets by utilizing GenAI along with other AWS analytics, database and compute services. AWS works with a number of GenAI model producers, you will be working directly with them around model performance evaluations, developing demos and proof-of-concepts.

In this role, you will help shape, advance, as well as learn new technologies and develop novel solutions to solve business challenges. Your solutions will explore the art of the possible with Generative AI. You will use ML and Generative AI tools, such as Amazon SageMaker, Amazon Bedrock, Amazon Q along with 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.

AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the 8 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

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 & 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 in the cloud.

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.

The AWS Industries team is committed to helping industry customers enable their digital transformation journeys. Our primary goal is to meet customers where they are in their cloud journey and work backwards from their industry specific needs to transform their business and their entire industry. Our team speaks the language of our industry customers, which means that we focus on business outcomes and industry use cases on behalf of our customers, whether that is how we build products and solutions, how we sell, how we deliver, or how we partner.

Key job responsibilities

• Ensure success in designing, building and migrating applications, software, and services on the AWS platform.

• Interact with customers directly to understand business challenges, help and aid them in implementation of their 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 solutions architect community.

• Work with AWS Service teams in synthesizing customer and market feedback to evolve the AWS Services roadmap

A day in the life

The ideal candidate:

• Has deep expertise in AI/ML (specifically Generative AI).

• Has prior experience working as a Solution Architect.

• Is deeply technical and keeps their technical skills honed. Often helps teach new skills to others.

• Has a combination of design and architecture knowledge with development capability (comfortable on the white-board and also on the keyboard).

• Thrives in ambiguous situations and can bring focus and help deliver results.

• Communicates efficiently and effectively with both technical and non-technical audiences

• Is great fun to work with

About the team

The Strategic Accounts Specialist Solutions Architecture (SSA) team at AWS is a strategic team that helps some of AWS’s largest customers develop solutions using AWS, partner and open source software across the analytics, GenAI, database and storage domains

Basic Qualifications

• 10+ 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 experience in AI/ML (1+ in Generative AI specifically)

• Experience contributing to the system design (architecture, design patterns, reliability and scaling) of new and current GenAI systems.

• Bachelor’s degree in Computer Science, Engineering or related field of study or 12+ years of related work experience.

Preferred Qualifications

• 5+ years of infrastructure architecture, database architecture and networking experience

• Masters or PhD degree in computer science, or related STEM field

• 5+ years of experience working with AWS ML technologies.

• Strong working knowledge of deep learning, machine learning and statistics

• Strong communication and data presentation skills

• Comfortable working in a fast paced, highly collaborative, dynamic work environment

• Deep knowledge of software development tools and methodologies and active, hands-on coding and AI/ML application design experience

• Ability to demonstrate body of work and influence (e.g. public repos, public speaking, Open-Source contributions or similar).

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200/year in our lowest geographic market up to $239,000/year in our highest geographic market. Pay is based on a number of factors including market location 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. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.