Senior Manager, Data Science, Generative AI Innovation Center

Overview

The Generative AI Innovation Center (GenAIIC) at AWS helps AWS customers accelerate the use of generative AI and realize transformational business opportunities. This is a cross-functional team of ML scientists, engineers, architects, and strategists working step-by-step with customers and partners to build bespoke solutions that harness the power of generative AI. The team is looking for an experienced and talented Principal Data Science Manager who brings a strong blend of experience in machine learning, generative and agentic AI, effective organizational and interpersonal skills, and experience building scalable AI/ML solutions using cloud computing.

The successful candidate will possess both technical and customer-facing skills that will allow you to be the technical “face” of GenAIIC with our customers. You will drive discussions with senior technical and business leaders within customers and partners and guide data/research/applied scientists and software engineers on the team. The ideal candidate will also have demonstrated ability to roll up their sleeves to build agentic AI solutions, think strategically about business, product, and technical issues.

Importantly, the candidate will be an excellent technical team manager, with experience hiring, developing, and retaining high-quality technical talent.

• Collaborate with ML scientists, engineers and architects to research, design, and develop Generative and Agentic AI solutions to address real-world challenges
• Interact with customers to understand business problems, assist in the implementation of AI solutions, deliver briefing and deep-dive sessions, and guide customer adoption paths to production
• Lead teams driving incubation efforts in areas such as Responsible AI, Physical AI and Agentic AI
• Create and deliver best-practice recommendations, blog posts, and presentations for technical, business, and executive stakeholders
• Provide customer and market feedback to Product and Engineering teams to help define product direction

• Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
• 5+ years of people management experience
• Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
• Experience hiring and leading experienced scientists and developing junior members from academia or industry
• 10+ years as a scientist or science manager

• PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field
• 10+ years of practical work applying ML to solve complex problems for large-scale applications
• Experience programming in Java, C++, Python or related language
• 5+ years of hands-on work in big data, machine learning and natural language processing
• Experience with AWS technologies for machine learning like Sage Maker, Bedrock, S3, and EC2

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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.

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