Job Overview
Amazon Web Services (AWS) is seeking an experienced and innovative Principal Applied Scientist to join the Quick Science Team, the organization behind AWS’s enterprise-grade Generative AI assistant known as Quick.
Quick empowers enterprise users by helping them answer questions, summarize documents, generate content, automate workflows, perform actions, and access information across multiple enterprise systems. This role offers an exceptional opportunity to lead cutting-edge research and development initiatives in Generative AI, Agentic AI, Large Language Models (LLMs), and Multi-Modal AI Systems.
As a Principal Applied Scientist, you will play a critical leadership role in advancing intelligent AI agents capable of complex reasoning, autonomous decision-making, and workflow automation that significantly improve enterprise productivity at scale.
Job ID
10441249
About the Role
The Quick Science Team is building the future of enterprise AI assistants by combining state-of-the-art Generative AI technologies with intelligent agent architectures.
In this role, you will lead scientific innovation and contribute directly to the development of advanced AI systems capable of:
- Complex reasoning and decision-making
- Enterprise workflow automation
- Multi-step task execution
- Content generation and summarization
- Knowledge retrieval and information synthesis
- Intelligent agent orchestration
- Multi-modal understanding across text, documents, and enterprise data
You will collaborate closely with software engineers, machine learning experts, product leaders, and executive stakeholders to transform scientific research into scalable customer-facing solutions.
Key Responsibilities
Lead Advanced AI Research
- Drive research initiatives focused on Generative AI and Agentic AI technologies.
- Develop innovative approaches for intelligent enterprise assistants.
- Explore new methodologies for autonomous reasoning and workflow automation.
- Advance the state of the art in Large Language Models and foundation model applications.
Build and Optimize Foundation Models
- Design, train, and fine-tune state-of-the-art Large Language Models (LLMs).
- Develop and improve multi-modal foundation models.
- Enhance model performance, scalability, and reliability.
- Evaluate and implement cutting-edge AI architectures.
Develop Intelligent Agent Systems
- Architect autonomous AI agents capable of complex task execution.
- Design systems that support multi-step planning and decision-making.
- Improve agent orchestration and workflow automation capabilities.
- Build scalable frameworks for enterprise AI deployments.
Collaborate Across Teams
- Partner with engineering teams to bring AI research into production.
- Work closely with product managers and business stakeholders.
- Influence strategic technology decisions across the organization.
- Drive cross-functional collaboration on high-impact AI initiatives.
Scientific Leadership
- Mentor scientists and researchers across multiple teams.
- Promote best practices in machine learning and AI development.
- Guide technical strategy and long-term innovation roadmaps.
- Contribute to the scientific growth of AWS AI organizations.
Required Qualifications
Educational Requirements
Candidates must possess one of the following:
- PhD in:
- Machine Learning
- Computer Science
- Electrical Engineering
- Artificial Intelligence
- Related Technical Discipline
OR
- Master’s Degree with 5+ years of relevant industry or research experience.
Technical Experience
Applicants should demonstrate experience in:
- Developing machine learning models for real-world applications.
- Building Generative AI systems and AI-powered solutions.
- Training, fine-tuning, or deploying foundation models.
- Research and development within Artificial Intelligence and Machine Learning domains.
- Programming using Python or similar development languages.
Research Achievements
Candidates should have a proven track record of:
- Peer-reviewed scientific publications.
- Granted patents.
- Significant contributions to Artificial Intelligence or Machine Learning research.
AI Domain Expertise
Experience in at least one of the following areas:
- Natural Language Processing (NLP)
- Large Language Models (LLMs)
- Computer Vision
- Agentic AI Systems
Preferred Qualifications
Generative AI and Enterprise Applications
Experience applying AI technologies to:
- Enterprise productivity solutions
- Document understanding systems
- Code generation platforms
- Task planning and automation systems
- Multi-modal AI applications
Agentic AI Expertise
Strong knowledge of:
- Agent-based architectures
- Autonomous systems
- AI planning frameworks
- Multi-agent coordination
- Workflow orchestration technologies
Machine Learning Infrastructure
Hands-on experience with:
- Distributed model training
- Scalable AI infrastructure
- Large-scale machine learning systems
- Foundation model optimization
- High-performance AI platforms
AI Safety and Reliability
Understanding of:
- AI safety frameworks
- Hallucination mitigation techniques
- Retrieval-Augmented Generation (RAG)
- Responsible AI principles
- Model evaluation and governance
Leadership Skills
Proven ability to:
- Mentor junior scientists and technical teams.
- Influence organizational strategy.
- Communicate technical concepts to non-technical audiences.
- Collaborate effectively with senior leadership and executive stakeholders.
Product Innovation
Track record of:
- Delivering scientific innovations into production.
- Launching customer-facing AI products at scale.
- Transforming research into measurable business impact.
Salary and Compensation
Amazon offers a highly competitive compensation package that includes base salary, sign-on bonuses, Restricted Stock Units (RSUs), and comprehensive employee benefits.
Salary Range by Location
Santa Clara, California
- $228,700 – $309,400 USD annually
New York, New York
- $218,800 – $295,900 USD annually
Seattle, Washington
- $198,900 – $269,000 USD annually
Final compensation will depend on experience, qualifications, skills, and geographic location.
Employee Benefits
Financial Benefits
- Competitive base salary
- Sign-on bonus opportunities
- Restricted Stock Units (RSUs)
- 401(k) retirement savings plan with company matching
Health and Wellness
- Medical Insurance
- Dental Insurance
- Vision Coverage
- Prescription Drug Coverage
- Basic Life Insurance
- AD&D Insurance
- Supplemental Life Insurance Options
- Employee Assistance Program (EAP)
- Mental Health Support Services
- Medical Advice Line
Family and Lifestyle Benefits
- Paid Time Off (PTO)
- Parental Leave
- Flexible Spending Accounts (FSA)
- Adoption Assistance Programs
- Surrogacy Reimbursement Coverage
Why Join AWS Agentic AI?
This is a rare opportunity to shape the future of enterprise Artificial Intelligence while working on some of the most advanced AI technologies in the world.
By joining AWS Agentic AI, you will:
- Work on next-generation Generative AI and Agentic AI systems.
- Influence products used by enterprises worldwide.
- Collaborate with leading AI scientists and engineers.
- Drive innovation in intelligent automation and autonomous reasoning.
- Access world-class infrastructure and computational resources.
- Transform research breakthroughs into impactful customer solutions.
Diversity, Inclusion, and Equal Opportunity
Amazon is committed to building an inclusive workplace where innovation thrives through diverse experiences and perspectives.
The company provides equal employment opportunities regardless of race, gender, disability, veteran status, or any other protected characteristic. Qualified applicants, including those with arrest and conviction records where applicable by law, will receive fair consideration for employment.
Amazon also provides reasonable accommodations throughout the hiring and onboarding process for individuals with disabilities.
Apply for Principal Applied Scientist – AWS Agentic AI
If you are passionate about Generative AI, Agentic AI, Large Language Models, Machine Learning Research, Multi-Modal AI, Intelligent Automation, and Enterprise AI Innovation, this role provides an opportunity to lead transformative AI initiatives at one of the world’s most influential technology companies.
Apply today and help build the future of intelligent enterprise AI with AWS.