Job ID
10430758
Agentic AI
Join AWS and Help Build the Future of Agentic AI
Amazon Web Services (AWS), the world’s leading cloud computing platform, is seeking a highly talented Applied Scientist – Agentic AI to join its cutting-edge research team focused on developing next-generation intelligent automation systems.
This is an exciting opportunity for researchers and AI scientists who are passionate about advancing the frontier of Artificial Intelligence, autonomous agents, multimodal reasoning, reinforcement learning, and intelligent decision-making systems.
As part of the AWS Agentic AI team, you will conduct groundbreaking research, collaborate with world-class engineers and scientists, and develop innovative AI models that solve complex real-world challenges at global scale.
About the AWS Agentic AI Team
The AWS Agentic AI organization is focused on building advanced AI systems capable of autonomous reasoning, planning, decision-making, and execution.
The team develops intelligent AI agents that can:
- Understand complex environments.
- Reason across multiple data sources.
- Interact with APIs and external systems.
- Plan and execute tasks autonomously.
- Learn from interactions and feedback.
- Improve operational efficiency through intelligent automation.
By leveraging Amazon’s vast computational resources, large-scale datasets, and cloud infrastructure, the team is pushing the boundaries of what intelligent AI systems can achieve.
Job Overview
As an Applied Scientist specializing in Agentic AI, you will conduct advanced research and develop innovative machine learning models that contribute directly to AWS’s next generation of intelligent automation solutions.
You will collaborate with scientists, engineers, product teams, and business stakeholders to transform cutting-edge research into practical AI applications that create measurable value for customers worldwide.
This role offers the unique opportunity to publish research, contribute to scientific advancements, and see your innovations deployed at global scale.
Key Responsibilities
Advanced AI Research
- Conduct original research in emerging Artificial Intelligence domains.
- Design and develop innovative approaches to intelligent automation.
- Explore new methods for autonomous reasoning and decision-making.
- Advance the state of the art in Agentic AI systems.
Model Development & Experimentation
- Build, train, and evaluate advanced machine learning models.
- Develop solutions for complex sequential decision-making challenges.
- Design intelligent systems capable of autonomous task execution.
- Optimize AI models for scalability, performance, and real-world deployment.
Cross-Functional Collaboration
- Work closely with:
- Research Scientists
- Applied Scientists
- Software Engineers
- Product Managers
- AWS Business Teams
- Translate research findings into production-ready solutions.
- Collaborate across disciplines to solve high-impact customer problems.
Scientific Innovation
- Publish research papers in leading peer-reviewed conferences and journals.
- Contribute to patents and intellectual property development.
- Participate in scientific workshops and industry research communities.
- Share technical knowledge and research findings with internal teams.
Production Impact
- Transform advanced AI research into practical customer solutions.
- Develop technologies that improve intelligent automation capabilities.
- Leverage AWS’s large-scale infrastructure and computational resources.
- Create AI systems that deliver real-world business value.
Research Areas of Interest
AWS is particularly interested in candidates with expertise in one or more of the following fields:
Autonomous Agents
- Agentic AI Systems
- Intelligent Task Execution
- Autonomous Decision-Making
- Multi-Agent Systems
API Orchestration
- Tool Use and Function Calling
- AI Workflow Automation
- Intelligent API Coordination
Planning & Reasoning
- Strategic Planning Algorithms
- Goal-Oriented AI Systems
- Hierarchical Planning
- Cognitive Architectures
Large Multimodal Models
- Vision-Language Models (VLMs)
- Multimodal Foundation Models
- Cross-Modal Reasoning
- Visual Understanding Systems
Reinforcement Learning (RL)
- Reinforcement Learning Algorithms
- Sequential Decision-Making
- Policy Optimization
- Learning-Based Control Systems
Basic Qualifications
To be considered for this position, candidates should meet the following requirements:
Education
One of the following:
- PhD in Computer Science, Machine Learning, Artificial Intelligence, Computer Engineering, or a related technical field
OR
- Master’s Degree in a relevant discipline with 3+ years of professional experience in Computer Science, Machine Learning, Artificial Intelligence, or a related field
Research Experience
- Demonstrated research contributions through:
- Publications in top-tier peer-reviewed conferences
- Journal publications
- Patents
- Significant scientific achievements
Programming Skills
Experience in one or more of the following programming languages:
- Python
- Java
- C++
- Related programming languages
Technical Expertise
Experience in one or more of the following areas:
- Algorithms
- Data Structures
- Parsing Techniques
- Numerical Optimization
- Data Mining
- Distributed Computing
- Parallel Computing
- High-Performance Computing (HPC)
Preferred Qualifications
Candidates with the following experience will stand out:
Software Development Experience
- Professional software engineering experience.
- Building scalable production systems.
- Collaborating within large engineering organizations.
Operating Systems
- Experience working in Unix/Linux environments.
- Familiarity with Linux-based AI development workflows.
Advanced AI Research
Experience in:
- Generative AI
- Large Language Models (LLMs)
- Vision-Language Models (VLMs)
- Autonomous AI Agents
- Reinforcement Learning
- Intelligent Planning Systems
Why Join AWS Agentic AI?
By joining AWS Agentic AI, you will:
- Work on some of the world’s most advanced Artificial Intelligence challenges.
- Access massive computational infrastructure and datasets.
- Collaborate with leading AI researchers, engineers, and innovators.
- Develop technologies that impact millions of customers globally.
- Publish research and contribute to scientific advancement.
- Transform cutting-edge ideas into real-world AI products.
- Help shape the future of autonomous intelligent systems.
Inclusive Workplace & Equal Opportunity
AWS is committed to building a diverse and inclusive workplace where employees from all backgrounds can thrive.
The company provides equal employment opportunities and supports candidates requiring workplace accommodations during the recruitment, hiring, or onboarding process.
AWS believes innovation is driven by diverse perspectives and is dedicated to creating an environment where every employee can contribute their best work.
Advance the Future of Intelligent Automation
If you are passionate about Artificial Intelligence research, Agentic AI, Reinforcement Learning, Multimodal Models, and intelligent autonomous systems, this role offers an exceptional opportunity to contribute to technologies that are redefining the future of AI.
Apply today and join AWS in building the next generation of Agentic AI solutions.