Description
AWS is seeking an exceptional Principal Data Scientist to join our Agentic AI ProServe Experience (APEX) team. This role calls for an individual ready to tackle large-scale agentic AI challenges and drive innovative ML/AI practices that transform professional services delivery and address real-world customer needs.
Reporting directly to the leader of APEX, this position is essential for revolutionizing AWS Professional Services' delivery capabilities through advanced agent-based AI systems. In addition to building ProServe Agents, you will driving their adoption across the ProServe builder community, enabling transformative customer engagements and partner enablement through AWS tools and services such as Kiro, AWS Transform, Strands, Bedrock, and Agentcore.
The ideal candidate will possess extensive experience in agentic AI systems, multi-agent architectures, and complex data science environments, developing solutions that advance the state-of-the-art in agent-based professional services delivery. Proficiency with Machine Learning, Large Language Models, reinforcement learning, and advanced analytics techniques is essential, along with the ability to convey these technical concepts in simple terms to diverse stakeholders. The role demands both deep technical expertise and exceptional communication skills to drive adoption across the ProServe organization and partner ecosystem.
Key job responsibilities
Scientific Leadership
Define and drive the scientific vision and roadmap for ProServe Agents and the agentic AI professional services portfolio
Lead research and development initiatives to advance the state-of-the-art in agent-based AI systems for professional services workflows
Collaborate with senior scientists across AWS to pioneer novel approaches to agent learning, reasoning, and interaction
Publish innovative research at top-tier conferences and influence the broader scientific community
Evaluate emerging research and identify opportunities to integrate techniques into ProServe Agent architecture
Technical Excellence
Architect complex multi-agent systems that can effectively understand, reason about, and execute professional services workflows at enterprise scale
Lead the integration of Gen AI and ML-based methods across ProServe delivery practices, spearheading AI-driven agent development and adoption initiatives
Establish rigorous evaluation frameworks and metrics for measuring agent effectiveness, safety, and business impact
Develop production-ready agentic solutions leveraging AWS tools including Kiro, AWS Transform, Strands, Bedrock, and Bedrock AgentCore
Customer & Business Impact
Translate complex technical concepts into clear business value propositions for ProServe builders, customers, and partners
Lead high-visibility technical delivery for strategic customers, demonstrating ProServe Agent capabilities
Drive adoption of ProServe Agents across the AWS Professional Services builder community, transforming delivery methodologies
Enable AWS partners on agentic delivery mechanisms and best practices
Analyze complex enterprise problems and design AI agent solutions that deliver measurable business outcomes
Collaborate effectively with ProServe delivery teams, product, engineering, and design teams to create and launch innovative agent-based solutions
Communicate complex agentic AI concepts clearly to diverse audiences across ProServe, customers, and partners
Leadership & Mentorship
Provide thought leadership and technical direction on agentic AI strategies and their applications in professional services
Drive innovation by sharing new technical solutions and product ideas across AWS teams
Mentor and guide the data science, ML engineering, and ProServe builder communities
Foster collaboration with key stakeholders to enhance the AWS ProServe experience
Basic Qualifications
Master's degree in Math, Statistics, Computer Science, or related Science field, or experience in data science, machine learning or data mining
Experience building machine learning models or developing algorithms for business application
Preferred Qualifications
8+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
4+ years of practical machine learning experience
2+ years of working with or evaluating AI systems experience
Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience debugging, profiling, and implementing best software engineering practices in large-scale systems
Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications
Have publications at top-tier peer-reviewed conferences or journals
Experience with AWS or cloud technologies
Experience in technical leadership of development, testing, and implementation of large-scale, complex technology projects
Experience driving collaborative projects from conception to delivery, or experience in development or technical support
Experience creating and delivering written and oral communications for technical and non-technical audiences
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.
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .
USA, CA, Mountain View - 217,800.00 - 294,700.00 USD annually
USA, CA, San Diego - 189,400.00 - 256,200.00 USD annually
USA, GA, Atlanta - 189,400.00 - 256,200.00 USD annually
USA, MA, Boston - 189,400.00 - 256,200.00 USD annually
USA, NY, New York - 208,300.00 - 281,800.00 USD annually
USA, TX, Austin - 189,400.00 - 256,200.00 USD annually
USA, TX, Dallas - 189,400.00 - 256,200.00 USD annually
USA, VA, Arlington - 189,400.00 - 256,200.00 USD annually
USA, WA, Seattle - 189,400.00 - 256,200.00 USD annually
