Position Details

Type Full-Time

Experience mid

Exp. Years Not specified

Education Not specified

Category AI & Machine Learning

About this role

Amazon Advertising’s Creative-X team is hiring AI Engineers to develop agentic generative AI solutions for advertisers. You will partner with applied scientists, build AI agents, and take research code through end-to-end deployment and productization at scale.

Key Responsibilities

Develop AI agents with Applied Scientists and AI Engineers
Transform research code into production
Own end to end deployment at scale of AI solutions
Build automated, scalable processes for data analysis and model development/validation/serving
Document work for technical and non-technical audiences and participate in code reviews

Technical Overview

The role focuses on GenAI systems including agentic AI, latent-diffusion models, large language models (LLMs), generative audio (music and speech synthesis), computer vision (CV), and reinforcement learning (RL). You will implement scalable pipelines for large-scale data analysis, machine-learning model development, model validation, and model serving, then deploy solutions for advertiser-facing features.

Ideal Candidate

The ideal candidate is a mid-level AI engineer who can build and deploy agentic generative AI solutions for advertising. They have experience taking research code into production, owning end-to-end deployment, and setting up scalable processes for model development, validation, and serving across large-scale datasets.

Must-Have Skills

Work closely with Applied Scientists and AI Engineers to develop AI agentsTransform research code into productionOwn end to end deployment at scale of AI solutionsEstablish scalableefficientautomated processes for large-scale data analysismachine-learning model developmentmodel validation and servingDocument processes and methods for technical and non technical audiencesContribute to code reviews

Nice-to-Have Skills

Not specified

Required Skills

AI EngineerGenAIAgentic AIlatent-diffusion modelslarge language models (LLM)generative audiocomputer vision (CV)reinforcement learning (RL)AI agentsdeploy at scalelarge-scale data analysismachine-learning model developmentmodel validationmodel servingcode reviewstechnical documentationnon technical documentationproductize

Hard Skills

Generative AIAI agentsDeployment at scaleProductionizing machine-learning modelsLarge-scale data analysisMachine-learning model developmentModel validationModel servingCode reviewsTransform research code into productionTechnical documentationNon technical documentationReinforcement learning (RL)Large language models (LLM)Latent-diffusion modelsAgentic AIComputer vision (CV)Generative audioMusic synthesisSpeech synthesisReinforcement learningApplied science collaborationAdvertising technologyAdvertiser-facing featuresProductization

Soft Skills

Highly collaborativeEnd-to-end ownershipCommunication to technical and non-technical audiencesMentoringPresenting outcomes to senior leadershipCode review participationStakeholder management

Industry & Role

Industry Retail

Job Function Build and productionize generative AI models and agents for advertiser-facing advertising creative experiences at scale.

Role Subtype AI Engineer

Tech Domains Python, Data & Analytics

Keywords for Your Resume

AI EngineerGenAICreative-XAmazon AdvertisingCreative XAgentic AIlatent-diffusion modelslarge language models (LLM)LLMGenerative audiomusic and speech synthesiscomputer vision (CV)reinforcement learning (RL)RLAI agentsproductiondeploy at scalemodel validationmodel servingmachine-learning model developmentlarge-scale data analysiscode reviewsend to end deploymentadvertiser-facing featuresproductize

Deal Breakers

Must have experience deploying AI solutions at scale (end to end deployment ownership), Must have experience developing AI agents and productionizing research code

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AI Engineer - GenAI, Creative-X

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