1 day ago
Base Salary
$154k - $239k/yr
Responsibilities
- Understand customers’ business and technical needs and design solutions using AWS cloud and AI/ML services.
- Design ML pipelines and support large-scale customer adoption of Amazon SageMaker, Amazon Bedrock, and related services.
- Partner with Solutions Architects, Sales, Business Development, and AI/ML service teams to accelerate adoption and revenue attainment.
- Create and share AWS blogs, whitepapers, reference architectures, presentations, and other thought-leadership content.
- Act as a technical liaison between customers and AWS service teams to communicate product improvement feedback.
- Develop and support an internal community of generative AI subject-matter experts across the Americas.
Requirements
- 8+ years of experience in specific technology domains such as software development, cloud computing, systems engineering, infrastructure, security, networking, or data and analytics.
- 3+ years of experience in application or infrastructure design, implementation, or consulting.
- Experience in a technical role within a sales organization.
- Deep technical experience with artificial intelligence, machine learning, and/or deep learning technologies.
- Preferred: 5+ years of IT development or implementation/consulting experience in the software or Internet industries.
- Preferred: experience working with end-user or developer communities.
- Preferred: experience communicating with technical and non-technical audiences, including executive stakeholders or clients.
- Preferred: experience architecting or operating solutions built on AWS.
- Preferred: strong mathematics and statistics background, experience building complex machine learning models, and familiarity with the generative AI software-vendor ecosystem.
Benefits
- Comprehensive medical, dental, vision, prescription, life, AD&D, employee assistance, mental health, medical advice line, flexible spending, adoption, and surrogacy benefits.
- 401(k) matching, paid time off, parental leave, sign-on payments, and restricted stock units.
- Mentorship, knowledge-sharing, career-growth resources, inclusion programs, and workplace flexibility.
- Position may be based in San Jose, Los Angeles, Seattle, Chicago, Austin, Dallas, Atlanta, or Arlington, with up to 50% travel across the USA.
Tech Stack
AWSTensorFlow
Categories
Solutions Engineering
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.