Applied Scientist, FinTelligence

At Amazon's FinTech organization, we are building AI systems that process

hundreds of millions of financial transactions, turn complex documents into

actionable intelligence, and power autonomous agents that learn from every

customer interaction. We are looking for an Applied Scientist to lead the

development of generative AI applications that change how finance teams work,

tackling problems at the intersection of large language models, multi-agent

systems, and real-world financial operations.

Key job responsibilities

- Building AI systems that finance teams trust enough to rely on without manual

review, where precision isn't a nice-to-have, it's a compliance requirement.

- Designing agents that learn from user corrections and get measurably better

with every interaction, not just at the next model release.

- Solving inference at massive scale using tiered model architectures,

intelligent routing, and small language models that deliver production-grade

accuracy at a fraction of frontier model cost.

- Developing evaluation frameworks that catch quality regressions before

customers do and gate every model change before it ships.

Who Thrives Here

- You're someone who cares as much about shipping as about research.

- You've built models that run in production, not just in notebooks.

- You're comfortable working across the full stack, from model architecture to

deployment to measuring whether the customer's workflow actually changed.

- You operate well in cross-functional settings where science, engineering, and

business teams inform each other continuously.

- You'd rather solve a hard real-world problem than optimize a benchmark.

What Makes This Different

- Your work ships to production and directly changes how thousands of finance

professionals operate daily.

- The problems are genuinely hard: financial data is messy, regulated,

high-stakes, and operates at a scale where naive LLM approaches break down.

- You'll work across multiple domains, from contract intelligence to cash

application to financial data investigation, not a single narrow use case. Basic

Qualifications

• - PhD, or Master's degree and 4+ years of CS, CE, ML or related
• field experience
• - Experience building machine learning models or developing algorithms for
• business application
• - Experience programming in Java, C++, Python or related language
• - 3+ years of building models for business application experience Preferred

Qualifications

• - PhD in computer science, machine learning, engineering, or
• related fields
• - Experience in building speech recognition, machine translation and natural
• language processing systems (e.g., commercial speech products or government
• speech projects)
• - Experience in patents or publications at top-tier peer-reviewed conferences or
• journals
• 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
• [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
• [https://amazon.jobs/en/benefits].
• USA, WA, Bellevue - 142,800.00 - 193,200.00 USD annually