Applied Scientist, Agentic AI Professional Services

Overview Applied Scientist, Agentic AI Professional Services role at AWS. You 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. 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 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. Basic Qualifications 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 Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications Experience using Unix/Linux Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. Company - Amazon Web Services, Inc. Job ID: A3078554 Job Details Seniority level: Not Applicable Employment type: Full-time Job function: Research, Science, and Engineering Industries: IT Services and IT Consulting Los Angeles County applicants: job duties include safe work practices, adherence to standards, and compliance with laws and company policies. The company may consider qualified applicants with arrest and conviction records under applicable law. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need workplace accommodations, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. #J-18808-Ljbffr