Applied Scientist, Agentic AI Professional Services

Overview

Applied Scientist, Agentic AI Professional Services role  will apply for the Applied Scientist, Agentic AI Professional Services role at Amazon Web Services (AWS).

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.

• 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 product ionize 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

Diverse Experiences

AWS 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?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & 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.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

• PhD, or Master’s degree and 4+ years of CS, CE, ML or related field experience
• 3+ years of building models for business application experience
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language
• Experien…