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Added 6 mins ago
Data Engineer II
Deloitte
Tulsa, OK
The Data Engineer Consultant will support data architecture and engineering delivery that enables artificial intelligence (AI), machine learning (ML), and generative AI (GenAI) solutions,…
Added 6 mins ago
AI Engineer II
Deloitte
Tulsa, OK
As an AI and Data Science Engineer II on the HC Forward team, you will be responsible for designing, building, and running the trusted, governed data, feature, and retrieval layer used by…
Added 6 mins ago
AI Engineer III
Deloitte
Tulsa, OK
…significant impact on our clients' success. We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that power Human Capital AI products and analytics.…
Added 8 mins ago
AI Systems Engineer
General Dynamics Mission Systems, Inc
Pittsfield, MA
Hands-on AI experimentation and solution development: Experience using generative AI, scripting, software development, or automation to create useful tools or significantly improve existing…
Added 13 mins ago
Staff Software Engineer, Data Platform
Scale AI
San Francisco, CA · NY
At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human…
Added 15 mins ago
Principal Engineer - Application Security (AI security, Pen Testing, DevSecOps)
Target
Brooklyn Park, MN
JOIN TARGET AS A PRINCIPAL ENGINEER - APPLICATION SECURITY
Added 16 mins ago
Agentic AI Engineer, Senior
Deloitte
Minneapolis, MN
As an AI and Data Science Engineer III on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements.
Added 16 mins ago
Agentic AI Engineer, Senior - Anthropic/Claude
Deloitte
Minneapolis, MN
As an AI and Data Science Engineer III on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements.
Added 16 mins ago
Agentic AI Engineer - Anthropic/Claude
Deloitte
Minneapolis, MN
As an AI and Data Science Engineer II on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements.
Added 16 mins ago
AI & Data Science Engineer II
Deloitte
Minneapolis, MN
As an AI and Data Science Engineer II on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements.
Added 16 mins ago
Machine Learning Engineer II
Mimecast North America, Inc.
Minneapolis, MN
Machine Learning II Engineer - Incydr Product Development
Added 16 mins ago
Data Engineer II
Deloitte
Minneapolis, MN
The Data Engineer Consultant will support data architecture and engineering delivery that enables artificial intelligence (AI), machine learning (ML), and generative AI (GenAI) solutions,…
Added 16 mins ago
AI Engineer II
Deloitte
Minneapolis, MN
As an AI and Data Science Engineer II on the HC Forward team, you will be responsible for designing, building, and running the trusted, governed data, feature, and retrieval layer used by…
Added 16 mins ago
AI Engineer III
Deloitte
Minneapolis, MN
…significant impact on our clients' success. We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that power Human Capital AI products and analytics.…
Added 17 mins ago
Forward Deployed Engineer III, Generative AI, Google Cloud
Google
Pittsburgh, PA
As a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers.…
Added 17 mins ago
Forward Deployed Engineer IV, Generative AI, Google Cloud
Google
Pittsburgh, PA
As a Generative AI (GenAI) Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within…
Added 22 mins ago
Forward Deployed Engineer, State and Local Government, Google Public Sector
Google
New York, NY
…the GPS FDE team accelerates the safe, reliable adoption of generative AI across mission-critical operations while feeding field insights directly back to Google Cloud Product…
Added 26 mins ago
VI
AI/ML Engineer Team Lead
Vizient, Inc.
Centennial, CO
- $31,533 USD / year
…for complex, knowledge-intensive workflows. You will combine generative AI, agentic workflows, retrieval, structured and unstructured data, deterministic processing, and human expertise to…
Added 43 mins ago
Technical SEO & GEO Specialist - Remote
Replika
Remote, United States
Own GEO (generative engine optimization). Make Replika the app ChatGPT, Gemini and Google's AI Overviews name and recommend when someone asks for an AI companion. Track how often we're…
Added 49 mins ago
Senior Solutions Engineer - FDSE Public Sector - Splunk (Remote)
Cisco
Reston, VA
Singular focus as an embedded engineer is to influence technical decision markers by strategically accelerating customer business outcomes, compressing time to value, and delivering…
Added 49 mins ago
Staff Solutions Engineer - FDSE Public Sector - Splunk (Remote)
Cisco
Reston, VA
Singular focus as an embedded engineer is to influence technical decision markers by strategically accelerating customer business outcomes, compressing time to value, and delivering…
Added 57 mins ago
Senior Azure Cloud Integration Engineer
LEIDOS, INC.
Rockville, MD
We are seeking a Senior Cloud Integration Engineer with deep Azure expertise to integrate cloud services across Azure and Microsoft 365 GCC environments, enabling secure, scalable, and…
Added 1 hour ago
AI Engineer (AI Data Privacy, Security & Governance)
Robert Half
San Ramon, CA
Added 1 hour ago
Data Engineer, Ring Agent Platforms
Amazon
Hawthorne, CA
We are looking for a Data Engineer to design, build, and operate the data pipelines, models, and platform infrastructure that power Ring's analytics, science, and AI initiatives. You will…
Added 1 hour ago
Staff Software Engineer, Creativity Foundations, Photos Create
Google
Mountain View, CA
Share Staff Software Engineer, Creativity Foundations, Photos Create

Amazon

Senior Software Development Engineer, Core Search

Seattle, WA, United States

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Job details

Posting language: English
Posted: Oct 15, 2026

Original job description

Description

The Amazon Search Navigation AI team helps customers go from a broad search intent to the few products that fit their needs, so they can make a confident purchase decision. We generate highly relevant, context-aware, and personalized search refinements. We also decide the order they appear in across Amazon's Search Navigation experiences, guiding customers to the most relevant results. The team owns Search Navigation's P0 metrics and defect guardrails, which keep performance and reliability high for hundreds of millions of customers.

We are reinventing search refinement with generative AI. Our recently launched Smart Refinement experience uses large language models (LLMs) served online to turn product specifications into natural-language suggestions that match how customers think, such as "for colder weather" or "lightweight for travel." Each suggestion is personalized to the customer's context. Next, we are building multi-turn, conversational refinement, where each interaction builds on the last and helps customers narrow their intent in fewer steps.

We build and run the engineering systems behind this work, including the Navigation Experience Service (NES). NES connects to Amazon's core search systems, serves more than 3 billion queries worldwide every day, and runs real-time LLM inference at global scale under strict latency and cost limits. Our platform supports launches of new navigation content and UIs, and it makes fast offline and online experimentation possible.

We are looking for a Senior Software Development Engineer to be a technical leader on the team. You will shape the architecture of our Search Navigation platform, including the systems that serve LLMs in real time, lead complex projects that span multiple teams, and work closely with Applied Scientists to take LLM innovations from research into production. You are comfortable with ambiguity, you set a high bar for engineering, and you are curious about applied science.

Key job responsibilities

Lead the architecture, design, and delivery of large-scale, distributed, low-latency services that power Amazon Search Navigation experiences worldwide
Own the technical direction for online LLM serving in Search Navigation, including GPU and accelerator inference, request-time personalization, asynchronous rendering, caching, and cost and latency optimization
Drive the engineering roadmap for Smart Refinement and multi-turn conversational refinement, scaling from initial launch to a much larger share of search traffic
Build safe, reliable GenAI experiences with layered safeguards: input triggering and exclusion controls, output validation and filtering, and graceful fallbacks
Partner with Applied Scientists, Product Managers, and Program Managers to define requirements and bring models (including distilled LLMs) into production
Design and build scalable data pipelines that process petabytes of search and behavioral data for feature generation, model training, distillation, and evaluation
Drive experimentation strategy: design, run, and analyze online A/B experiments, and make data-driven launch recommendations
Own operational excellence for critical services, including P0 metrics, defect guardrails, monitoring, on-call health, and availability and latency goals
Lead cross-team initiatives, influence the technical decisions of partner teams across Search, and mentor engineers while raising the engineering bar

Basic Qualifications

5+ years of non-internship professional software development experience
5+ years of programming with at least one software programming language experience
5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Experience as a mentor, tech lead or leading an engineering team

Preferred Qualifications

5+ 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 with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
Experience leading and influencing your team or organization, or experience as a mentor, tech lead or leading an engineering team
Experience building real-time, low-latency ML or LLM inference systems at scale, including optimizing for latency, throughput, and cost, and developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware
Experience building and operating large-scale distributed services (e.g., search, recommendations, or ads serving) handling billions of requests per day

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 - 168,100.00 - 227,400.00 USD annually

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Skills

Software development
Computer science
Machine learning
ML
Recruitment
Mental health

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