Amazon Senior Applied Scientist Agentic AI Professional Services Experience 

United States, New York, New York 

238828132

As a Senior Applied Scientist on our Agentic AI Professional Services Experience team, you will be instrumental in advancing the frontier of human-agent collaboration for enterprise solutions. You will leverage your deep expertise in machine learning and artificial intelligence to develop intelligent systems that enhance how professionals interact with agentic AI tools, driving innovation in professional services delivery while balancing user experience, ethics, and business outcomes.In this role, you will shape the future of professional services by creating AI agents that augment human capabilities, streamline complex workflows, and deliver unprecedented value to customers. Your work will define how the next generation of professionals collaborate with intelligent systems, establishing new paradigms for productivity, creativity, and problem-solving in enterprise environments.Key job responsibilities
- Architect and design AI agent systems that can effectively understand, reason about, and execute professional services workflows- Drive end-to-end Machine Learning projects involving agentic AI that navigate high degrees of ambiguity, scale, and complexity
- Design and implement advanced machine learning models for agent decision-making, natural language understanding, and contextual reasoning
- Conduct proof-of-concept development, experimentation, optimization, and production deployment of AI agent systems
- Establish scalable, efficient, automated processes for large-scale data analysis, agent behavior modeling, model validation, and serving
- Research and implement new approaches for agent learning, reasoning, and interaction with human professionals
- Develop frameworks for evaluating agent effectiveness, safety, and alignment with human objectives
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS
Work/Life BalanceMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 5+ years of building machine learning models for business application experience
- PhD, or Master's degree and 8+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Experience in patents or publications at top-tier peer-reviewed conferences or journals

- Experience with large scale distributed systems such as Hadoop, Spark etc.
- 2+ years of experience with design, development, and optimization of generative AI solutions, algorithms, or technologies
- 2+ years of experience with design, deployment, and evaluation of Large Language Model (LLM)-powered agents and tools and orchestration approaches
- 2+ years of experience with open source frameworks for building applications powered by LLMs like LangChain, LlamaIndex, and/ or similar tools
- Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker
- Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts
- Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.