Senior Applied Scientist, Agentic AI Professional Services Experience

Job description

Description
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
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
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.

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 in the cloud.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious.

Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.

Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship 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.
Basic Qualifications
- 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
Preferred Qualifications
- 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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies.

Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.

These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation.

Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers.

If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.

If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets.

The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/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.

Required Skill Profession

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