Job Description

Locations

• United States, WA, Seattle, Seattle, WA, United States
• United States, VA, Arlington, Arlington, VA, United States
• United States, WA, Bellevue, Bellevue, WA, United States
• United States, NY, New York, New York, NY, United States

Salary

Skills Required

• - 3+ years of experience in designing, building, and/or operating cloud solutions in a production environmentintermediate
• - 2+ year experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference)intermediate
• - 2+ years of hands on experience with Python to build, train, and evaluate modelsintermediate
• - 2+ years of technical client engagement experienceintermediate

Required Qualifications

• - Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field (degree in business administration)
• - 3+ years of experience in designing, building, and/or operating cloud solutions in a production environment (experience, 3 years)
• - 2+ year experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference) (experience, 2 years)
• - 2+ years of hands on experience with Python to build, train, and evaluate models (experience, 2 years)
• - 2+ years of technical client engagement experience (experience, 2 years)

Preferred Qualifications

• - Masters or PhD degree in computer science, or related technical, math, or scientific field (degree in phd degree in computer science)
• - Strong working knowledge of deep learning, machine learning, generative AI, and statistics (experience)
• - Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker (experience)
• - Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients (experience)
• - Experience building cloud solutions with AWS (experience)
• 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. (experience)

Responsibilities

• • Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges
• • Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
• • Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
• • Provide customer and market feedback to product and engineering teams to help define product direction
• About the team
• ABOUT AWS:
• 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 in the cloud.
• 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 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.
• AWS Global Services
• AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.

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