Principal Applied Scientist, AWS Support Kumo
: Job Details :

Job ID: 2561280 | Amazon Web Services, Inc.

Job SummaryAWS Support is looking for a high caliber Applied Scientist to build AI/GenAI experiences and foundations for the Cloud Optimization service portfolio (AWS Health, Well-Architected, Trusted Advisor). We are looking for a Principal Scientist to join us and lead/spearhead the AI revolution through innovative solutions inspired by customer needs. A Principal Scientist in Kumo is a hands-on contributor who 1/ Understands the latest trends and developments in AI/GenAI space and able to apply this innovation to solve customer challenges. 2/ Effectively partners across AWS AI/GenAI services to influence and drive investment prioritizations. 3/ Mentors to elevate the organization's excellence in AI/GenAI. 4/ Represents the organization strategically in front of customers, partners, and other AWS leaders. Evangelize our AI/GenAI innovations, results, and impact.You will partner with go-to-market, support, and service leaders to identify, define, and shape the investment direction of our products with a vision, strategy, and develops innovative solutions for hard, previously unsolved problems. You will work closely with engineering teams to define the architectures and solutions that transform algorithms to services operating at AWS scale. This role will give you the opportunity to drive the design and delivery of large-scale cross-AWS projects while moving the needle disproportionately for the Support business.In this role, you'll define and drive architectural innovation of existing and new services to help AWS customers optimally architect, develop, and operate for the cloud. You'll think beyond the immediate team and project needs and focus on how to reduce operational complexity. You'll provide technical vision in achieving business goals. Your responsibilities will include:

Influence at all levels – from business strategy to implementation. You will own direct technical contributions for some areas and in others you will influence and direct at the architectural level.

Lead by example, demonstrating technical excellence that other engineers aspire to follow. Taking time to mentor and develop members of each team.

Define the next generation of Cloud Optimization architecture, working closely with business owners, service teams, Principal Engineers, and Solution Architects to leverage proven design patterns and existing services to reduce existing complexity, duplication, and cost.

Solve ambiguous problems and deliver high impact customer driven products, such as real-time visibility into customers' experiences and impacts during AWS service events, derive customer insights, generate summary of customers' posture for security, cost, resilience, etc.

Drive operational excellence and best practices across the teams.

Work with minimal guidance, engaging engineering teams across the organization to deliver results, while responding efficiently to multiple program priorities. In addition, you'll have the opportunity to analyze the latest technologies and development trends, establishing and implementing standard practices for the organization's engineering teams.

The ideal candidate will be able to exercise strong judgment in balancing technical leadership and business goals.

About the team

AWS Kumo is a global product and technical organization dedicated to helping AWS customers succeed in their cloud journey. Kumo owns critical cloud services used by all AWS customers to build, optimize, and operate at scale. Our broad portfolio of services includes AWS Health, Trusted Advisor, Well-Architected, re:Post, Recommendations & Insights, Self-service Automation, Support Center, and more, as well as all the internal tooling used by our global support organization to provide exceptional customer support.Kumo is a people-first organization doing world-class innovation at scale. We are globally distributed, with larger teams across the United States, Canada, South Africa, Costa Rica, Australia, and other geographies. We are always looking for exceptional technologists and leaders who would like to join us on this journey. By joining Kumo, you will work with all AWS customers, from big and diverse enterprises to small cutting-edge startups, helping them achieve success in their cloud journeys. We are delivering product and technological innovation that transform the way our customers run their businesses. Our industry-leading product portfolio cuts across a wide range of technologies — from Distributed Systems to Machine Learning — at Amazon scale. We are a fast-growing, agile and collaborative team of individuals with diverse backgrounds from all parts of the globe. We combine the culture of a startup, the innovation and creativity of an R&D lab, the work-life balance of a mature organization, and AWS-scale technical challenges. Join us!

BASIC QUALIFICATIONS

* Graduate degree (MS or PhD) in Computer Science, Electrical Engineering, Mathematics or Physics or related field.* 7+ years of experience in AI and Machine Learning in industry.* Proven experience with a track record of thought leadership and contributions that have advanced the a business, customer experience.* Strong record of delivery in industry and ability to handle multiple competing priorities in a fast-paced environment.* Excellent written and verbal communication skills.

PREFERRED QUALIFICATIONS

* 10+ years of experience in AI, Machine Learning, and Natural Language Processing in industry and/or academia.* Proven experience in designing and delivering ML / AI systems with multiple components.* Professional traits that are not unique to this position, but necessary for Amazon leaders:* Exhibits excellent judgment* Helps in growth and development of our teams* Has relentlessly high standards (is never satisfied with the status quo)* Is able to dive deep and is never out of touch with the details of the business or the technology* Expects and requires innovation of her/his team* Has passion and convictions and the innate ability to inspire passion in others* Oriented towards delivering results* Strong customer obsession

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.

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