APPLIED SCIENCE MANAGER, AWS GENERATIVE AI INNOVATION CENTER

Applied Science Manager, AWS Generative AI Innovation Center DESCRIPTION Amazon launched the Generative AI Innovation Center (GenAIIC) in June 2023 to help AWS customers accelerate the use of Generative AI to solve business and operational problems and promote innovation in their organization. Your team will be working with terabytes of text, images, and other types of data to address real-world problems. The successful candidate will possess both technical and customer-facing skills that will allow you to be the technical "face" of AWS within our solution providers' ecosystem/environment as well as directly to end customers. You will be able to drive discussions with senior technical and management personnel within customers and partners, as well as the technical background that enables them to interact with and give guidance to data/research/applied scientists and software developers. The ideal candidate will also have a demonstrated ability to think strategically about business, product, and technical issues. Of critical importance, the candidate will be an excellent technical team manager, someone who knows how to hire, develop, and retain high quality technical talent. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. Key job responsibilities You will work directly with customers to drive adoption and shape the future of the most exciting emerging technology by understanding the business problem and guiding our customers in implementation of generative AI solutions, and developing long-term strategic relationships with key accounts. You will help develop the industry's best generative AI delivery team by enabling and coaching your specialist team on best practices and how to create and present value-driven architectures of widely varying size and complexity. You will grow an existing team by hiring, on-boarding, training, and developing new Scientists, Architects, and Engineers from internal and external sources. You will identify opportunities for building reusable technical assets based on recurring patterns of customer needs. You will provide customer and market feedback to Product and Engineering teams to help define product direction. You will drive revenue growth across a broad set of customers. You will be a thought leader and drive value creation for our customers, shaping technical solutions, growing the team, and leading specific customer engagements. You will deliver briefing and deep dive sessions to customers and guide customers on adoption patterns and paths to production. About the team GenAIIC provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and in the cloud. As an Applied Science Manager in GenAIIC, you'll partner with technology and business teams to build new generative AI solutions that delight our customers. You will be responsible for directing a team of data/research/applied scientists, deep learning architects, and ML engineers to build generative AI models and pipelines, and deliver state-of-the-art solutions to customer's business and mission problems. BASIC QUALIFICATIONS PhD or Msc in Computer Science (CS), Computer Engineering (CE), or related technical field with several years of industry experience. Several years of scientists or machine learning engineers management experience and knowledge of ML, NLP, Information Retrieval and Analytics. Ability to demonstrate senior stakeholder management skills and collaborate effectively with multidisciplinary teams. Experience directly managing scientists or machine learning engineers. Ability to translate informal customer requirements into problem definitions, dealing with ambiguity and competing objectives. PREFERRED QUALIFICATIONS Experience building machine learning models or developing algorithms for business application. Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers. Deep expertise in generative AI and hands on experience of deploying and hosting Large Foundational Models. Experience and deep knowledge of AWS and AWS AI/ML services. Excellent written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to a variety of audiences. Project management experience working on cross-functional projects. #J-18808-Ljbffr