Sr. Applied Scientist - Agentic AI, Amazon Connect
Company websiteamazon.com (Amazon, opens in new tab)
Base salary $167,100 to $226,100
Employer-published annual base salary, USD. Advertised base range in Seattle, WA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSeattle, WA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (4 h ago) · observed since
About this job
Do you want to join a team of innovative scientists to research and develop Agentic AI technology that would disrupt the industry? Do you enjoy dealing with ambiguity and working on hard problems in a fast-paced environment? Amazon Connect is an AI-first customer experience solution that enables superior outcomes at a lower cost. Since its 2017 public launch Amazon Connect has become an AI leader transforming how organizations of all types interact with their customers.
As a Sr. Applied Scientist on our team, you will work closely with senior technical and business leaders from within the team and across AWS. You distill insight from huge data sets, conduct cutting-edge research, and develop science solutions to conquer complex business problems, from conception to deployment. You own the measurement science behind your work — defining the offline evaluation harnesses and online experiments that prove an agentic system is actually better, and converging on a small number of trustworthy metrics that tie model quality to customer outcomes. You have a strong academic background and industry experience in machine learning and deep learning, with deep domain knowledge in generative AI and LLMs. You are comfortable quickly prototyping and iterating on your ideas to build and evaluate robust agentic systems using modern tooling such as PyTorch, vLLM, agent frameworks and MCP, and AWS services including Amazon Bedrock and SageMaker.
Learn more about Amazon Connect here: https://aws.amazon.com/connect/
About the team
Our team is leading AI/ML research and development in Amazon Connect. We use state-of-the-art science and engineering practices to address the hard problems in contact center for our customers, and we move fast to implement solutions and refine them based on customer feedback.
Basic Qualifications
- 5+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Demonstrated experience with generative AI and LLMs — fine-tuning, prompting, retrieval, or post-training.
Preferred Qualifications
- PhD, or a PhD or equivalent research experience and experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience in automation or monitoring frameworks, deployment or development
- Experience designing evaluation frameworks for open-ended or subjective tasks where ground truth is expensive or unavailable, including synthetic data generation.
- Experience with agentic and multi-turn systems, including RL-based post-training (RLHF/RLAIF/GRPO or similar), environment simulation, or agent harness evaluation.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually
Source: Amazon · View original posting (opens in new tab)
Pay in context
This role's base floor ($167,100) is above 64% of the 329 Data & ML roles in Washington listed on this site; 32 others list the same floor. Their median floor is $143,700; the middle half runs from $136,000 to $168,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.
This listingSr. Applied Scientist - Agentic AI, Amazon Connect$167,100 to $226,100
Software Development Engineer, Neuron Collectives, Annapurna Labs$165,200 to $223,600
Software Development Engineer -Control Plane, AWS Scalable Intent Driven Routing (SIDR)$165,200 to $223,600
Software Engineer II - AI/ML, Neuron Inference, Neuron Inference$165,200 to $223,600
Software Dev Engineer II - AMZ27744.1$165,200 to $223,600
Machine Learning Engineer, FAI$165,200 to $223,600
Software Development Engineer, AI/ML, AWS Neuron, Model Inference$165,200 to $223,600
Chart as a table
| Role | Published base |
|---|---|
| Sr. Applied Scientist - Agentic AI, Amazon Connect (this listing) | $167,100 - $226,100 |
| Software Development Engineer, Neuron Collectives, Annapurna Labs | $165,200 - $223,600 |
| Software Development Engineer -Control Plane, AWS Scalable Intent Driven Routing (SIDR) | $165,200 - $223,600 |
| Software Engineer II - AI/ML, Neuron Inference, Neuron Inference | $165,200 - $223,600 |
| Software Dev Engineer II - AMZ27744.1 | $165,200 - $223,600 |
| Machine Learning Engineer, FAI | $165,200 - $223,600 |
| Software Development Engineer, AI/ML, AWS Neuron, Model Inference | $165,200 - $223,600 |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-10-16
Where this pay comes from
Location as the employer wrote it: US, WA, Seattle
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.