In this role you will help drive GenAIIC strategy and delivery approach to tackle this demand through optimizations using purpose-built solutions like SageMaker HyperPod and Amazon Trainium and Inferentia accelerators. As a GenAI Optimization Specialist, you are customer obsessed and understand concepts of low-level computer hardware and large language models. You are also proficient in designing and optimizing ML solutions that work backward from customer business outcomes. You will be expected to invent on behalf of our customers and create new and innovative ideas that accelerate the development and migration of customer GenAI models on the current and future Trainium/Inferentia hardware.
You will possess a strong technical background as well as ability to develop and drive business strategy and go to market motions. You must excel at written and verbal communications. You will have experience with developer tools and software development processes. You must be able to thrive and succeed in an entrepreneurial environment, and not be hindered by ambiguity or competing priorities. This means anticipating bottlenecks, making tradeoffs and balancing the needs of the business versus technical constraints. Cross-team coordination, project management and an ability to learn and understand new technology are essential.
Key job responsibilities
- Use ML and Generative AI tools, such as Amazon SageMaker HyperPod and Neuron chips to provide a scalable cloud solutions for our customers to build, train, tune and deploy their models.
- Interact with customer directly to understand the business problem and requirements, and help scope technical projects that will drive business outcomes and ROI.
- Collaborate with our scientists, engineers, and architects to deliver technical solutions to customers and develop reusable solutions and artifacts.
- Dive deep into custom LLM model architectures to migrate and optimize for performance and cost on Neuron chips.
- Work closely with account team, research scientist teams and product engineering teams including Annapurna labs and SageMaker to identify force-multiplier opportunities and drive new capabilities and model support.
- Write monthly and weekly business reviews and participate in strategic planning documents such as 3 Year plans, OP1 and Yearly Goals and present them to senior leaders across Amazon.
About the team
ABOUT AWS:
Diverse Experiences
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BASIC QUALIFICATIONS
- 7+ years of developing, negotiating and executing business agreements experience
- 7+ years of professional or military experience
- Bachelor's degree
- 3+ proven experience in driving the delivery of large technology programs or products
- Knowledge of one or more ML Frameworks (e.g., PyTorch, JAX) and ML methods including GenAI foundation models, computer vision models, multimodal techniques
PREFERRED QUALIFICATIONS
- Experience as a founder or executive focused on related segments, or as a practice leader or business unit owner
- Experience selling to Fortune 1000 or Global 2000 organizations
- Graduate degree (MS or PhD) in computer science, engineering, mathematics or related technical/scientific field
- Experience with Machine Learning acceleration, model optimization and profiling
- Familiarity with common enterprise services and working knowledge of software development tools and methodologies
- Strong communication skills, with attention to detail and ability to convey technical concepts and considerations to non-experts
- Experience managing program across cross functional teams, building mechanisms at scale
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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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.