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
- Perform hands-on analysis and modeling of enormous data sets to develop insights that increase service effectiveness and business outcomes, while maintaining exceptional customer experience
- 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
- Collaborate closely with software engineers to productionize ML models for agentic AI solutions
- Design, execute, and analyze A/B experiments to evaluate agent performance, user satisfaction, and business impact
- 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
About the team
ABOUT AWS:
Diverse Experiences
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