Software Development Engineer, FinTech - TFAW

Amazon is hiring a Software Development Engineer, FinTech - TFAW in Hyderabad, India. Level rates it ; you can apply on Amazon.

Level's read on this job

Builds AI ●●●● is how Level rates this software engineer role: the job is building AI systems.
Tools and skills the posting cites include NLP.
Level classifies it as a mid-level role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

nlp

Do you want to build machine learning and agentic-AI systems that analyze billions of dollars in transactions every day, and measure your impact in millions of dollars saved?

In Amazon's Finance Technology group, we build the detection systems (machine learning, and increasingly agentic AI) that defend Amazon against theft, fraud, abuse, and waste across the supply chain, retail catalog, and corporate procurement. We turn terabytes of transaction, vendor, and operational data into real-time risk decisions: scoring payments as they happen, surfacing anomalous behavior, and uncovering collusion networks that span thousands of entities.

We're now building the next generation of that platform around generative and agentic AI: multi-agent systems that discover fraud patterns directly from the raw data flowing through Amazon's businesses, working alongside domain experts to turn what they find into production detection logic. The result is a platform where new detection coverage comes not only from engineers, but from agents and the experts who know the fraud best, shipping in days instead of sprints.

You'll build the agent tools, ML pipelines, services, and data infrastructure behind all of this, working with generative AI, large language models, and agent frameworks alongside the anomaly-detection, classification, and graph-modeling techniques they build on. You'll partner directly with applied scientists, fellow engineers, and finance operations teams, and you'll see your ideas reach production in weeks.

If you want to apply advanced ML and agentic AI at Amazon scale, on systems with a direct, measurable financial impact, we'd love to talk.

Key job responsibilities
You will participate in the full software development lifecycle, from collaborating with customers and scientists on design, to building scalable, extensible systems that run in production. You will:

Design and build ML pipelines that process terabytes of data and score billions of dollars in transactions.
Build agentic AI applications: LLM-powered agents that discover risk patterns and generate detection logic, operating through well-defined tool interfaces with human-in-the-loop review.
Build the knowledge and memory systems agents depend on: vector stores, knowledge graphs, the entity-risk layer for cross-entity collusion detection, and in-session and shared memory.
Develop how we evaluate agent effectiveness in fraud detection, and turn analysts' ad-hoc investigation patterns into repeatable, templated workflows.
Build the platform and tooling (governed data access, model deployment, and self-service rule authoring) that lets agents and non-engineers ship detection logic safely and fast.
Take models and agents from prototype to reliable, real-time production systems, and work directly with internal customers to turn feedback into shipped improvements.

A day in the life
You'll partner with applied scientists, software engineers, and finance operations teams across Amazon. You'll harden an agent pipeline for production, extend the entity graph that powers a new detector, or design a tool interface that lets an agent query data safely, then review it with the customer who'll use it. Because our team and our customers are comfortable trying new ideas, you'll get your work in front of real data quickly and iterate on what you learn.

About the team
We own the machine learning and agentic-AI systems that prevent, recover, and avoid internal and external theft, fraud, abuse, and waste across Amazon Finance Operations. Our platform makes real-time risk decisions on transactions from many of Amazon's largest businesses. We're actively building toward entity-level risk profiles updated in real time, and agentic systems that compress fraud discovery and investigation from weeks to days, with engineers building the leverage layer that multiplies what every analyst and agent can do.

Basic qualifications

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

Preferred qualifications

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing
- Experience in processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution)

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.

How we rate this

Software Development Engineer, FinTech - TFAW at Amazon rates 89 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Software Development Engineer, FinTech - TFAW is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in IN, TS, Hyderabad.
The job was posted on June 4, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

NLP

Also common in software engineer jobs at this level

Python C++AWS AI agents Kubernetes Java

Pay

Typical software engineer job: $167k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

What NLP problem have you worked on, and how did you measure whether it actually worked?
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: NLP. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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