Principal Solutions Architect, GenAI/ML - Houston - Amazon

Description

As Principal Solution Architect, GenAI/ML, you will be responsible for supporting adoption and utilization of Amazon Web Services (AWS) GenAI/ML services for customers in North America across one or more industries.

You will be responsible for helping customers with their GenAI/ML applications by understanding their requirements, designing GenAI/ML solutions, conducting proof of concepts, and remove blockers for AWS service adoption.

You will gather customer and industry needs and partner with AWS product teams to innovate, develop, and deliver AWS solutions that can be applied at scale to many customers.

You will collaborate with your Sales and Go to Market counterparts to influence GTM strategies and sales plays for new or existing services;

You will partner with internal product teams and account managers to win strategic customer workloads and drive business revenue.

You will work on thought leadership, create reusable assets and demos to help customers adopt AWS services at scale.

A day in the life

Meet the hottest companies ready to use data and GenAI/ML to drive better business outcomes.

Become the trusted advisor of their leaders, decision makers and key individuals. Bridge the gap between business goals and technology. Inspire on art of the possible use cases for GenAI & AI/ML.

Represent your industry, AWS product teams and influence our GenAI & AI/ML roadmap to best support your customers.

Work with AWS specialists and field teams to deliver results for your customers.

Create thought leadership content, POCs. Scale by creating & delivering 1:many webinars and workshops.

Work hard. Make a difference. Enjoy life.

About the team

The Worldwide Specialist Organization (WWSO) works backwards from customers to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses, and pride themselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.

Why AWS? Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Mentorship & Career Growth: Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll 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, theres nothing we cant achieve in the cloud.

Inclusive Team Culture: Here at AWS, its 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.

Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasnt followed a traditional path, or includes alternative experiences, dont let it stop you from applying.

AWS is committed to a diverse and inclusive workplace to deliver the best results for our customers. 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; we celebrate the diverse ways we work. For individuals with disabilities who would like to request an accommodation, please let us know and we will connect you to our accommodation team. You may also reach them directly by visiting please https://www.amazon.jobs/en/disability/us.

Basic Qualifications

- 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience

- Bachelor's degree in computer science, engineering, mathematics or equivalent

- Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications

- Experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing

- At least 3 years of experience in Machine Learning with knowledge of supervised, unsupervised, and reinforcement learning. Experience with Amazon SageMaker of similar products is needed. Understanding of various algorithms like decision trees, random forests, etc; Model evaluation; Understanding of architectures like CNNs, RNNs, LSTMs, and transformer models. Good understanding of Generative AI, LLMs, and Amazon Bedrock.

Preferred Qualifications

- Knowledge of distributed systems design and implementation or equivalent

- Knowledge of large scale automation and workflow management or equivalent

- Knowledge of database design and implementation or equivalent

- Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $164,500/year in our lowest geographic market up to $284,300/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.