Software Development Engineer II, Digital Pricing and Competitive Intelligence (D-PRICIQ ), Digital Acceleration

Amazon is hiring a Software Development Engineer II, Digital Pricing and Competitive Intelligence (D-PRICIQ ), Digital Acceleration in Chennai, United States. Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this software engineer role is Builds AI ●●●●: the job is building AI systems.
Tools and skills the posting cites include AWS, LLMs and GenAI.
Level classifies it as a mid-level role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Builds next-generation AI-powered pricing systems using machine learning, LLMs, and custom neural networks.

AWSLLMsGenAI

We invite you to be part of a high-impact team that is shaping the future of pricing at Amazon. The Digital Pricing team is at the forefront of leveraging AI and machine learning to compute millions of prices across our digital products. We are looking for a Software Development Engineer to help design and build the next generation of our AI-powered pricing systems.

As a SDE, You'll will develop next generation pricing systems that process millions of prices daily. Our platform combines pricing strategies with advanced AI models, including Large Language Models (LLMs), GenAI and custom neural networks, to make real-time pricing decisions that directly impact our business and customers.

Joining the Digital Pricing team means taking on a role where technical expertise meets real-world impact. From the outset, you’ll work with advanced AI technologies to develop solutions that power pricing across Amazon’s extensive digital products. This team is not only building innovative pricing systems—but also redefining how millions of customers experience Amazon’s digital products.

The technical challenges you'll tackle are unique. You'll work with advanced AWS infrastructure, design distributed systems at massive scale, and implement AI solutions that directly impact Amazon's digital business. Whether you're optimising model performance, or developing new pricing systems, you'll have the resources and support to succeed.

By joining Digital Pricing, you're not just changing teams – you're accelerating your career while solving complex challenges that matter. We're committed to helping you become the best engineer you can be, all while working on systems that shape Amazon's future.

A day in the life
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.

Your growth matters to us. You will have a structured path to achieve your career aspirations, backed by dedicated mentorship from senior technical leaders. You'll have access to specialised AI/ML training programs, conference opportunities, and innovation time to explore new technologies. Our engineers regularly present their innovations, and work to senior leadership. Our team's culture emphasises both individual growth and collective success.

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

- Experience with AWS or cloud technologies
- Understanding of AI model optimisation techniques
- Experience with large language models (LLMs)

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 II, Digital Pricing and Competitive Intelligence (D-PRICIQ ), Digital Acceleration at Amazon rates 90 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 II, Digital Pricing and Competitive Intelligence (D-PRICIQ ), Digital Acceleration is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in IN, TN, Chennai.
The job was posted on May 20, 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

AWSLLMsGenAI

Also common in software engineer jobs at this level

Python C++AI agents Kubernetes Java TypeScript

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's a project where you used AWS hands-on?
Walk me through how you've used LLMs in your day-to-day work.
What are the limits of GenAI that you've run into, and how did you work around them?
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: AWS, LLMs, and GenAI. 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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