Amazon · 18 hours ago
Principal Data Scientist, Agentic AI Professional Services
Arlington, Virginia, USA
Full-time
Onsite
Lead/Staff
$218K/yr - $295K/yr
8+ years expAmazon Web Services is seeking an exceptional Principal Data Scientist to join their Agentic AI ProServe Experience team. This role involves tackling large-scale agentic AI challenges and driving innovative ML/AI practices to transform professional services delivery and enhance customer engagement.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
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
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
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
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
Qualification
Required
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
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
Benefits
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
Parental leave
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
2026-01-13
2026-01-13
Business Standard India
2026-01-13
Company data provided by crunchbase