AI Platform Engineer

New York University Tisch School of the Arts

. Build, operate, and continuously improve shared infrastructure and platform services enabling secure, reliable, and scalable AI use across NYU .

Posted 11/11/2026full-timeNew York City • New York • United StatesMid-LevelSenior💰 $170,000 - $190,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining cloud infrastructure, with a strong focus on AWS services, Infrastructure-as-Code tools, and CI/CD pipelines. Proficient in API design and cloud security practices, ensuring reliable and scalable AI platform capabilities.

Highest-signal resume keywords

AWS Cloud ServicesInfrastructure-as-CodeCI/CD Pipeline DevelopmentAPI DesignCloud Security

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Cloud EngineeringPlatform EngineeringDevOpsTerraformAWS CloudFormationDockerKubernetesPythonMetrics and LoggingLLM APIs

Tools & Technologies

GitHub ActionsGitLab CIJenkinsPrometheusGrafanaDatadogAWS CloudWatchOpenTelemetry

Industry Keywords

AI ArchitectureCloud-Native ArchitectureIAMOAuth2OIDCSecrets ManagementService-to-Service CommunicationDistributed TracingOperational ConstraintsGenerative AI Services

Tech Stack

Tools & technologies

AWSCloudDockerGrafanaJenkinsKubernetesPrometheusPythonTerraform

About the role

Key responsibilities & impact

Build, operate, and continuously improve shared infrastructure and platform services enabling secure, reliable, and scalable AI use across NYU
Develop and maintain cloud infrastructure, model gateways and routing, APIs, IAM, automated deployment pipelines, observability, usage/cost telemetry, and platform reliability capabilities
Translate AI architecture into production-ready infrastructure and reusable platform capabilities
Build, automate, and operate infrastructure directly as a highly hands-on technical individual contributor
Work within architectural patterns established by the AI Solutions Architect
Adhere to institutional security and technology standards

Requirements

What you’ll need

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related quantitative field, or an equivalent combination of education and experience
3+ years of progressive experience in platform engineering, cloud engineering, DevOps/SRE, software engineering, or related infrastructure engineering roles
Direct experience operating production cloud services at scale
Deep experience with AWS cloud services and cloud-native architecture; AWS Bedrock experience highly desirable
Proficiency with Terraform, AWS CloudFormation, or equivalent Infrastructure-as-Code tools
Hands-on experience with Docker and Kubernetes (EKS) or AWS ECS
Hands-on experience building and supporting CI/CD pipelines, such as GitHub Actions, GitLab CI, or Jenkins
Experience with modern source control strategies
Strong foundation in API design, gateway management, OAuth2, OIDC, IAM, secrets management, service-to-service communication, and cloud network security
Practical experience with metrics, logging, distributed tracing, and alerting tools such as Prometheus, Grafana, Datadog, AWS CloudWatch, or OpenTelemetry
Proficiency in Python and/or modern programming languages used for automation and platform tooling
Practical working knowledge of LLM APIs, foundation models, token-based usage models, model routing/gateways, streaming responses, rate limiting, and operational constraints/latency characteristics of Generative AI services

Benefits

Comp & perks

Base salary of USD $170,000.00 to USD $190,000.00 annually
NYU green campus and carbon-neutrality initiative
Equal opportunity employment