Description Are you passionate about Artificial Intelligence (AI) and Machine Learning (ML)? Have a desire to empowering innovative startups to succeed in their cloud computing journey? Do you have a proven track record in architecting and delivering solutions on Amazon Web Services (AWS)? If so, we have an exciting opportunity for you to join our team as a Solutions Architect. As a Solutions Architect, you will be a key technical leader and trusted advisor for our AI/ML startup customers, helping them architect, design, and build scalable, reliable, and cost-effective solutions on the AWS platform. You'll collaborate closely with customers technical and business leadership, understanding their business goals, technical requirements, and challenges to craft optimal cloud-based solutions that drive innovation and accelerate time-to-market for their products. You’ll also get plenty of time to “sharpen the saw” and keep your skills fresh. We have more than 200+ services across a range of different categories and it’s important that we can help startups take advantages of the right ones. You’ll also play an important role as an advocate with our product teams to make sure we are building the right products and features for the startups you work with. And for the customers you don’t get to work with on a 1:1 basis you’ll share knowledge more broadly by working on technical content and presenting at events. Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future. Key job responsibilities - Work closely with startup customers to understand their technical requirements, business objectives, and growth plans, and then architect AWS-based solutions that align with their goals. - Lead technical discussions, present best practices, and guide startups on AWS architecture, services, and solutions to ensure scalability, performance, and cost-effectiveness. - Collaborate with cross-functional teams including Sales, Product, and Support to provide comprehensive solutions to startups, addressing their specific needs and driving successful outcomes. - Design and implement proof-of-concepts (POCs) and reference architectures to showcase the value of AWS services and demonstrate their potential impact on the customer's business. - Stay up-to-date with AWS services, industry trends, and best practices, share this knowledge within the team, and drive continuous improvement and innovation. - Participate in workshops, webinars, and events to evangelize AWS solutions for startups and contribute to the growth of the AWS startup ecosystem. - Develop startup specific technical content, such as blog posts, sample code and solutions, to assist customers solve technical problems and reduce time-to-market 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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. 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 - 2+ years of design, implementation, or consulting in applications and infrastructures experience - 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience Preferred Qualifications - Experience working within software development or Internet-related industries - Experience migrating or transforming legacy customer solutions to the cloud - Experience working with AWS technologies from a dev/ops perspective - Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics). - Experience working on machine learning projects for technology companies that develop ML solutions and products. - Hands-on expertise implementing and optimizing machine learning models and architectures. 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 $118,200/year in our lowest geographic market up to $204,300/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.