Sr Manager, Korea Solutions Architects
1개월전에
o you want to help define the future of Go to Market (GTM) at AWS using generative AI? In this role, you will help our customers build and deploy Generative AI (GenAI) models, and help enterprise customers leverage these models to power end applications and use cases across industry verticals.
You will engage with product owners to influence product direction and help our customers tap into new markets by utilizing GenAI along with AWS 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 of GenAI end applications / use cases with large models.
You will possess a business and technical background that enables you to drive an engagement and interact at the highest levels with startups, Enterprises, and AWS partners.
You will have the technical depth and business experience to easily articulate the potential and challenges of GenAI models and applications to engineering teams and C-Level executives.
This requires deep familiarity across the stack – compute infrastructure, ML frameworks, orchestration layers, large models, frameworks like LangChain for developing applications powered by GenAI models, MLOPs, as well as target use cases in the cloudYou should be passionate about helping companies/partners understand best practices for operating on AWS.
An ideal candidate will be adept at interacting, communicating and partnering with other teams within AWS such as product teams, solutions architecture, sales, marketing, business development, and professional services, as well as representing your team to executive management.
You will also look for patterns and trends that can be broadly applied across an industry segment or a set of customers that can help accelerate innovation.
This is an opportunity to be at the forefront of technological transformations, as a key technical leader.Key job responsibilities
You will help develop the industry's best cloud-based solutions to grow the GenAI business.
Working closely with our engineering teams, you will help enable new capabilities for our customers to develop and deploy GenAI workloads on AWS.
You will facilitate the enablement of AWS technical community, sales, and solution architects with specific customer centric value proposition and demos about end-to-end GenAI on AWS cloud.
You will drive the development of the GTM plan for building and scaling GenAI on AWS, interact with customers directly to understand their business problems, and help them with defining and implementing scalable GenAI solutions to solve them (often via proof-of-concepts).
You will also work closely with account teams, research scientists, and product teams to drive model implementations and new solutions.
About the teamOur Korea Specialist SA organization is a team of exceptionally strong technologists who are able to single-handedly drive adoption of AI/ML and GenAI at the customers ranging from large enterprises to fast-moving startups.
We are open to hiring candidates to work out of one of the following locations:Seoul, KOR
Basic Qualifications
- Bachelor's degree in technical discipline with 10+ years of technical design / implementation / consulting experience.
- Experience with GenAI models across training, inference, MLOPs, and/or developing GenAI applications.
- 7+ years of leadership experience in a technical, customerfacing role in the AI/ML industry, and should have built technical teams.
- 5+ years of experience training large models across compute types (e.g., GPUs, custom instances), and developing applications powered by GenAI models.
- Deep handson understanding of deep learning and other ML algorithms and infrastructure.
- Strong verbal and written communications skills and ability to lead effectively across organizations.
- Master's Degree or PhD in Engineering or related STEM field.
- 10+ years of presales engineering, technical business development, enterprise sales, strategic partnerships, or program/product management experience.
- Thorough understanding of AI/ML technology stack.
- Experience with cloud computing and or related fields.
- Experience with one or more general purpose programming languages, including but not limited to: C/C++, C#, Python.
- Good communication skills, business, and financial acumen.
- Demonstrated ability to work effectively across internal and external organizations is key.
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