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Amazon Ai Engineer Jobs (NOW HIRING)

Judge Group, Inc.

Senior AI Engineer

Mesquite, TX · On-site

$150K - $170K/yr

Demonstrate Amazon Leadership Principles in daily work Required Qualifications * Strong portfolio demonstrating multi-tier, 12-factor applications built with AI developer agents * Experience ...

Texas State Library and Archives Commision

AI Engineer

$107K - $146K/yr

Job Summary We are seeking a highly skilled Senior AI Engineer with strong expertise in TypeScript ... Amazon Web Services Google Cloud Microsoft Azure Experience with Docker and containerized ...

Amazon

SDE, Responsible AI

Seattle, WA

We are looking for a Software Development Engineer who wants to work at the frontier of AI governance - building the platform that gives Amazon real-time visibility into the compliance posture of ...

New

Avid Technology Professionals

AI Engineer

Annapolis, MD · On-site

... developers, and domain experts. Effectively present and articulate recommended AI approaches ... Have experience with the Amazon Web Services (AWS) cloud computing platform and machine learning ...

INSPYR Solutions

AI Engineer

Dallas, TX · On-site

Title: AI Engineer Duration: Full Time Location: Dallas, TX - Hybrid Onsite 3-4 days/week (by ... Amazon, Google, Microsoft, Apple, Meta, Tesla, Oracle, or similar enterprise environments

HCM Staffing and Consulting

Senior AI Engineer

Irvine, CA · On-site

$112K - $154K/yr

We are seeking a Senior AI Engineer to design, build, and scale a production-grade Generative AI ... Develop graph-based knowledge systems using Amazon Neptune. * Build agentic workflows using ...

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All JobsAmazon Ai Engineer Jobs

Amazon Ai Engineer information

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$39K

$101.8K

$137.5K

How much do amazon ai engineer jobs pay per year?

As of Jul 18, 2026, the average yearly pay for amazon ai engineer in the United States is $101,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $116,500.00 per year, depending on experience, location, and employer.

Which 3 jobs will survive AI?

For an Amazon AI Engineer, roles that require complex problem-solving, creativity, and human interaction are more likely to survive AI automation. These include jobs in AI research and development, data science, and technical consulting, which involve designing, implementing, and overseeing AI systems. Skills in critical thinking, domain expertise, and advanced programming are essential for these roles to remain relevant as AI advances.

What is the $900000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior AI engineers, machine learning directors, or AI research leads, often in large tech companies. These positions usually require advanced skills in machine learning, deep learning, and data science, along with extensive experience and sometimes equity or performance-based compensation components.

How much do Amazon AI employees make?

Amazon AI engineers typically earn an average salary ranging from $120,000 to $180,000 per year, depending on experience, location, and level. Compensation may also include bonuses, stock options, and benefits, reflecting industry standards for AI and machine learning roles at major tech companies.

What is the difference between Amazon Ai Engineer vs Amazon Data Scientist?

AspectAmazon Ai EngineerAmazon Data Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentDevelops AI models, algorithms, and integrates AI solutions within Amazon productsAnalyzes large datasets, builds predictive models, and provides insights for business decisions
Employer & Industry UsagePrimarily in AI/ML teams within Amazon, focusing on product developmentAcross various departments for data analysis, forecasting, and strategic planning

Amazon Ai Engineers focus on developing and implementing AI and machine learning models, while Amazon Data Scientists analyze data to generate insights and support decision-making. Both roles require strong technical skills but differ in their core responsibilities and daily tasks.

What are Amazon AI Engineers?

Amazon AI Engineers are professionals who design, build, and deploy artificial intelligence and machine learning solutions within Amazon. They work on a wide range of projects, from developing recommendation systems for Amazon.com to improving Alexa's voice recognition or optimizing supply chain logistics. Their responsibilities include researching algorithms, coding models, and collaborating with product and software teams to integrate AI technologies into real-world applications. These engineers typically have strong backgrounds in computer science, mathematics, and data analysis, as well as experience with programming languages like Python and frameworks such as TensorFlow or PyTorch.

How does an Amazon AI Engineer typically collaborate with cross-functional teams to deliver AI solutions?

As an Amazon AI Engineer, you will frequently work in cross-functional teams that include data scientists, product managers, software developers, and business stakeholders. Collaboration often involves participating in agile sprints, sharing progress in daily stand-ups, and jointly defining project requirements and success metrics. Clear communication is crucial, as you'll translate complex technical details into actionable insights for non-technical partners. This teamwork ensures that AI models are not only technically robust but also aligned with business objectives and user needs.

What is the salary of an AI engineer in Amazon?

The salary of an AI engineer at Amazon typically ranges from $100,000 to $160,000 annually, depending on experience, location, and skill level. Additional compensation may include bonuses, stock options, and benefits, with roles often requiring proficiency in machine learning frameworks and cloud services like AWS.

What are the key skills and qualifications needed to thrive as an Amazon AI Engineer, and why are they important?

To thrive as an Amazon AI Engineer, you need a solid background in computer science, machine learning, and data analysis, typically supported by a relevant degree and experience with large-scale AI projects. Familiarity with programming languages (such as Python or Java), cloud platforms like AWS, and frameworks such as TensorFlow or PyTorch is essential. Strong problem-solving skills, effective communication, and the ability to work collaboratively on cross-functional teams help you stand out in this role. These skills and qualities are vital to developing innovative AI solutions that drive Amazon's business and enhance customer experiences.
Infographic showing various Amazon Ai Engineer job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $101,752 per year, or $48.9 per hour.
Senior AI Engineer

Senior AI Engineer

Judge Group, Inc.

Mesquite, TX • On-site

$150K - $170K/yr

Other

Re-posted 4 days ago

Job description

Location: Mesquite, TX Salary: $150,000.00 USD Annually - $170,000.00 USD Annually Description:
Senior AI Engineer
Location: (1 days per week onsite/4 days work from home)
Employment Type: Full-time
EMAIL RESUMES TO DAVID KELLOGG AT -
About the Company
Our client is a $200M annual-revenue eCommerce company specializing in lighting products for contractors, distributors, and consumers. The platform is a hybrid B2B/B2C system built on Oracle NetSuite ERP and a custom web application. The company is transitioning from a Rails/PHP monolith to a modern, multi-tier, AI-driven architecture.
Role Overview
We are hiring two Senior AI Engineers to modernize our eCommerce platform and build AI-driven features. You will lead teams of AI developer agents, own full vertical slices of the stack, and deliver incremental business value using the Strangler Fig pattern. Both hires operate at equal seniority with full ownership expectations.
Key Responsibilities
Platform Modernization (50%)
  • Modernize the existing Rails/PHP platform using the Strangler Fig pattern
  • Deliver continuous, incremental value without big-bang cutovers
  • Own full vertical slices: React frontend, API layer, business logic, persistence, and database
  • Enforce clean separation of concerns across all tiers
  • Direct AI developer agents (analyst, architect, PM, developer agents) from concept to production
  • Review and correct AI-generated output for SOLID/DRY violations and poor test design
  • Recommend frameworks and tools using SCIPAB-format rationale

AI-Driven Features (30%)
  • Design and implement AI-powered eCommerce capabilities (search, recommendations, catalog intelligence)
  • Contribute to a plug-in framework enabling governed feature development by external teams
  • Evaluate AI orchestration tools and APIs with documented pros/cons

Engineering Excellence (20%)
  • Design CI/CD pipelines for all features (testing, deployment, observability)
  • Participate in one-week Scrum sprints, including planning, standups, reviews, and retrospectives
  • Work across both new development and maintenance with no team hierarchy
  • Demonstrate Amazon Leadership Principles in daily work

Required Qualifications
  • Strong portfolio demonstrating multi-tier, 12-factor applications built with AI developer agents
  • Experience directing AI agent teams end-to-end
  • Ability to identify and correct AI-generated SOLID/DRY violations and poor test design
  • Expert full-stack capability: React, modern backend framework, REST/GraphQL APIs, relational databases, AWS
  • Strong architectural judgment and ability to defend recommendations
  • Experience modernizing live systems using the Strangler Fig pattern
  • Hands-on CI/CD pipeline design experience
  • Clear, evidence-based communication; camera-on participation for virtual meetings
  • Texas residency with U.S. work authorization

Preferred Qualifications
  • Experience with agent orchestration frameworks (BMad-method, LangGraph, CrewAI, AutoGen)
  • B2B/B2C eCommerce experience (complex catalogs, variants, faceted search, hybrid ordering)
  • Ruby on Rails familiarity
  • NetSuite ERP API integration experience
  • Experience designing plug-in or extension architectures

Success Traits
  • You lead AI agents with strong architectural judgment
  • You make pragmatic, evidence-based technology choices
  • You think in vertical slices and deliver incrementally
  • You treat all work as team work-no hierarchy between new and legacy code
  • You embody Amazon Leadership Principles

Team & Culture
  • 10-engineer AI-first team, growing to 14
  • One-week Scrum sprints
  • Dallas engineers onsite Wednesdays; others remote within Texas
  • Direct, respectful communication with a high bar for quality

Technology Stack
Current: Ruby on Rails, PHP, server-rendered JS, Oracle NetSuite, AWS
Future: React frontend, multi-tier API-first architecture, modern backend framework (your recommendation), AI tooling (your recommendation)
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