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Added 2 mins ago
Software Development Engineer III
Blue Origin Personnel, LLC
United States
AI/LLM integration & code-generation workflows
Added 2 mins ago
Postdoctoral Research Associate in Catastrophe Modeling and Resilience
Lehigh
Bethlehem, PA
Experience applying AI and machine learning to hazard or risk modeling, including LLMs, LLM-based agents, or related generative AI tools.
Added 4 mins ago
Software Development Engineer 3 – Multiple Openings
Divisions Inc. dba Divisions Maintenance Group
Cincinnati, OH
Added 4 mins ago
Solution Architect - Senior Manager - Consulting - Location OPEN
EY
Columbus, OH · Cincinnati, OH · Cleveland, OH · Akron, OH · Toledo, OH
Experience designing and delivering AI/ML or LLM-based business solutions in production environments
Added 5 mins ago
Business Analysis Associate II - Operations Performance Management
JPMorgan Chase
Columbus, OH
Leverage approved AI/LLM tools to increase efficiency, strengthen analysis, summarize findings, support documentation, create reusable prompts or logic, and enhance deliverable quality.
Added 5 mins ago
Senior AI Full stack Software Engineer
McKesson Corporation
Columbus, OH
…imaging, patient risk stratification, and carepersonalization. - LLM & RAG Systems: Skilled in building retrieval-augmented generation systems using tools likePydantic, Semantic…
Added 5 mins ago
Senior Architect, Agentic Development, Teradata Cloud Platform
Teradata
Columbus, OH
Experience building agent-based or LLM-powered features in production systems.
Added 5 mins ago
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Principal Product Manager - Commerce AI Platform
Microsoft
CA · WA · NY · Mountain View, CA · Redmond, WA · Mountain View · Redmond · New York
- $165,600 to $331,200 USD / year
Partner and developer readiness: Drive onboarding, evaluation criteria, usage and quality telemetry, and the staged path from offline evaluation to limited pilot to production traffic for…
Added 16 mins ago
Principal AI Platform and Model Operations Engineer - TS/SCI with Polygraph
GD Information Technology, Inc.
United States
Hands-on experience deploying and operating local model-serving platforms such as vLLM, TGI, Triton, TensorRT-LLM, llama.cpp, Ollama, ONNX Runtime, or comparable technologies.
Added 37 mins ago
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Digital Workplace Platform Administrator
International Rescue Committee
Remote, United States
- $88,277 to $102,451 USD / year
Added 46 mins ago
PN
Senior Software Engineer III
Pacific Northwest National Laboratory
Richland, WA · Seattle, WA
- $133,100 USD / year
SI Systems: Agentic SI, LLM orchestration (LangChain, LlamaIndex), MLOps pipelines, and multi-modal data integration
Added 46 mins ago
PN
Lead Software Engineer IV
Pacific Northwest National Laboratory
Richland, WA · Seattle, WA
- $161,300 USD / year
SI-Native Systems: Agentic SI with dynamic reasoning, LLM orchestration (LangChain, LlamaIndex, LangGraph), MLOps platforms, and multi-modal reasoning pipelines
Added 46 mins ago
PN
Early Career Software Engineer
Pacific Northwest National Laboratory
Richland, WA
- $83,100 USD / year
…large language models (LLMs). Gain hands-on experience with LLM integrations, evaluation, testing, and foundational MLOps…
Added 46 mins ago
PN
Software Engineer II
Pacific Northwest National Laboratory
Richland, WA · Seattle, WA
- $109,000 USD / year
SI Systems Development – Contribute to agentic SI implementations, work with LLM integrations, learn MLOps best practices on real-world applications
Added 1 hour ago
Deep Learning Scientist Intern, LLM, Multimodal and Agentic AI - Summer 2027
NVIDIA USA
CA
Background with large-scale model training, distributed frameworks such as NeMo or Megatron-LM, GPU computing, or inference technologies such as vLLM or TensorRT-LLM.
Added 1 hour ago
AI Optimization Content Strategist
Apple
Sunnyvale, CA
…formats, and platforms of focus to drive measurable growth in LLM…
Added 1 hour ago
Lead Platform Engineer, AI and DevSecOps
RadarFirst
Remote, United States
…governance, secure agent/tool access, observability, continuous LLM and agent evaluations, traceability, incident response, cost controls, and operational readiness for future agent…
Added 1 hour ago
Microsoft 365 Copilot AI Co-op (Spring 2027)
Wave Life Sciences USA, Inc.
Lexington, MA
Curiosity for LLM/agent design, prompt engineering, and the Power Platform; willingness to learn Copilot Studio quickly.
Added 1 hour ago
IT Cybersecurity Co-op (Spring 2027)
Wave Life Sciences USA, Inc.
Lexington, MA
Contribute to cyber-AI risk assessments, focusing on the security and governance of open-source machine learning tools and large language model (LLM) integrations.
Added 1 hour ago
Discovery IT Co-op (Spring 2027)
Wave Life Sciences USA, Inc.
Cambridge, MA
Working knowledge of technologies such as Posit, Copilot (and/or other LLM based AI systems), Claude, AI in general preferred
Added 1 hour ago
Senior Product Manager
Payroll Integrations Inc
NY · Carlsbad, CA · Marietta, GA
…clients, partners, and engineering. You do not need to be a developer. Our engineering team is deeply technical. You do need strong opinions, comfort on client and partner calls, and the…
Added 1 hour ago
Software Engineering Senior Manager
Wells Fargo Bank, N. A.
CHARLOTTE, NC · SAN LEANDRO, CA
Lead development of AI- and LLM-based solutions that interpret user activity, behavioral signals, interaction sequences, and telemetry to identify suspicious or emerging behaviors.
Added 1 hour ago
Principal Engineer
B10 Wells Fargo Bank, N. A.
CHANDLER, AZ · IRVING, TX
1+ year of experience with LLM-based systems, prompt engineering, or RAG architectures
Added 1 hour ago
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AI - Cybersecurity Forward Deployed Engineer - FDE Senior Manager
Accenture
Nashville, TN
- $132,500 to $366,300 USD / year
…deployments across complex multi-stakeholder client environments - LLM systems, multi-agent pipelines, RAG architectures, and MLOps infrastructure - owning the full security design from…
Added 1 hour ago
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Senior Platform Software Engineer, AI
Oracle
Nashville, TN
- $92,500 to $209,500 USD / year
Oracle Cloud Infrastructure’s (OCI) Developer Platform Tools and Services organization builds the next generation of developer productivity platforms, intelligent development workflows, and…

Amazon

Software Development Manager, Product Data Quality Measurement Systems

Seattle, WA, United States

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Job details

Posting language: English
Posted: Oct 30, 2026

Original job description

Description

Every time a customer searches, browses or asks an AI assistant for help on Amazon, the experience depends on great product data. Lead the team that defines what "high-quality" means for every product in our catalog of billions, and builds the LLM and agentic systems that measure it.

Amazon's Catalog Systems division is looking for an exceptional engineering manager to lead, architect and deliver Generative AI-powered solutions that measure and raise the quality of the world's largest product catalog. An accurate, information-rich catalog powers product discovery, helps customers make confident buying decisions and makes Amazon the first stop for shoppers. That's true whether customers shop through search and detail pages or through conversational assistants and AI agents.

You'll be the engineering leader behind the single quality score used across Amazon for every product. Brands and sellers use it to fix their listings. Category leaders use it to set goals. Search, shopping experiences and AI assistants use it to decide which products and details to show customers. Your systems use LLMs and multimodal models to find defects in titles, attributes, bullet points, rich content, variations and images. They catch text that contradicts the product image, weigh each defect by how much it hurts the customer, and roll it all into one score people trust.

There's no single right answer here, and that's what makes it interesting. Some days it's a smart heuristic or a classic ML model. Other days it's LLM-as-a-judge, multimodal reasoning or an autonomous agent that improves its own prompts. You'll do all of this at a scale few places can offer, and your work will shape how millions of customers discover and buy products worldwide.

What you'll work on:

GenAI and LLMs: Run production LLM and multimodal pipelines at catalog scale. Benchmark models, tune prompts and fine-tune for high precision at low cost.
Agentic systems: Build AI agents that detect defects, find root causes, check their own accuracy and close the loop with selling partners. Bring agentic coding practices to how your team builds software.
Powering customer experiences: Supply trusted, machine-readable quality signals that search, detail pages, recommendations and AI shopping assistants use to decide which products and details customers see.
Scale and cost: Build batch and real-time, event-driven systems on AWS (Bedrock, SageMaker, EMR/Spark, ECS, Lambda). Keep inference and compute costs growing more slowly than the catalog.
Measuring the measurers: Track precision and recall for every detector, and use human-in-the-loop auditing and smart sampling to build ground truth.
Insights and guardrails: Give brands and sellers fast feedback and self-service insights, and set up AI guardrails that block bad data before it reaches the catalog.

What you'll own:

The vision, strategy and roadmap for AI-driven product quality measurement
Hiring, mentoring and growing a high-performing team of engineers and tech leads
Partnerships with science, image/media, catalog and selling partner teams to keep raising the quality bar
Technical decisions that balance innovation, accuracy, cost and operational excellence

If you want your work to shape what millions of customers see every day, however they choose to shop, let's talk.

Key job responsibilities

Own the long-term vision and strategy for AI-driven product data quality measurement, and turn it into a roadmap your team can deliver.
Lead a team of software engineers, including senior engineers, to architect, build, test and deploy scalable batch and real-time systems with a constant focus on customers.
Drive delivery of LLM, multimodal and agentic solutions that detect product data defects, weigh them by customer impact and roll them up into a trusted quality score.
Partner with science teams to benchmark models, tune prompts and fine-tune, so quality signals stay accurate as costs come down.
Set and track precision, recall and cost metrics for every detection system, and use the results to keep improving.
Work with image/media, search, catalog and selling partner teams to define product quality and turn measurements into fixes customers can see, across search, detail pages and AI shopping assistants.
Make technical decisions that balance speed, accuracy, cost and operational excellence. Manage technical debt and own system reliability and on-call health.
Hire, mentor and develop engineers and future technical leaders, and keep the team performing at a high level.
Report on progress, quality, operations and system performance to senior leadership, and influence their technical direction and investment decisions.

A day in the life

Your main job is making sure the product quality score is accurate, trusted and gets better every week. Most mornings start with your team's dashboards. Are the detectors catching real defects? Did a new LLM prompt raise precision or just cost? Is the real-time pipeline healthy?

From there, the day is a mix of people and problems. You might work through a design with your engineers on scaling a new multimodal check to billions of products. Then you might sit down with scientists to decide whether a fine-tuned model is ready for production. You'll also meet with partner teams in image, search and selling partner experience, who rely on your score and bring you the hard questions. For example, why does this product get a low grade? Or can you flag this defect before it goes live?

Your customers are both inside and outside Amazon. Brands and sellers use your signals to fix their listings. Category leaders use them to set goals. Shopping experiences, from search to AI assistants, use them to decide what customers see.

Some days go beyond the usual work. You might dig into a customer complaint that shows a gap in how quality is measured, try out an AI agent that improves its own prompts, or explain to senior leaders why a metric moved. And you'll always make time to coach your team and help your engineers grow.

About the team

We believe every customer should be able to shop on Amazon with confidence in the product information they see. Our team builds the systems that measure product data quality across billions of products, then turns them into action. Brands and sellers use our insights to improve their listings, category teams use them to set goals, and shopping experiences from search to AI assistants use them to decide what customers see. You'll work with engineers, scientists and partner teams in image, search and selling partner experience. We value trust over coverage, design for billions from day one, and believe customer stories reveal what metrics miss.

Basic Qualifications

3+ years of engineering team management experience
7+ years of working directly within engineering teams experience
3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
8+ years of leading the definition and development of multi tier web services experience
Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
Experience partnering with product or program management teams

Preferred Qualifications

Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

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.

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