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RTX · 3 days ago

AI Platform Engineer

Farmington, CT

Full-time

Hybrid

Senior Level

$124K/yr - $250K/yr

7+ years exp

RTX Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial, military and government customers worldwide. The AI Platform Engineer will design and implement the software and infrastructure that enable scalable and secure AI applications across RTX, focusing on developing APIs, orchestration services, and observability capabilities.

AerospaceManufacturingSecuritySensorTelecommunications

No H1B

U.S. Citizen Only

Responsibilities

Design, build, and maintain APIs and orchestration services that support AI and automation applications

Integrate cloud and on-premises AI services (Azure AI, Databricks, AWS Bedrock, Anthropic, etc.)

Develop telemetry and observability components using OpenTelemetry and MLflow

Containerize and deploy microservices using Docker and Kubernetes

Collaborate with Infrastructure, Security, and Compliance teams to meet enterprise and regulatory standards

Design and build scalable, reliable, and cost-efficient platform services that enable seamless integration, automation, and high performance across development and production environments

Identify areas for improvement and implement new tools or technologies to enhance AI infrastructure efficiency, reliability, and security

Qualification

Python APIsCloud AI/MLMicroservicesDockerKubernetesMessaging pipelinesMonitoringObservability stacksCI/CD automationDevSecOpsInfrastructure-as-codeBusiness use casesRegulated environments

Required

Typically requires a University Degree or equivalent experience and minimum 10 years prior relevant experience, or an Advanced Degree in a related field and minimum 7 years experience

Python APIs (FastAPI/Flask/Django), cloud AI/ML (AWS/Azure/GCP)

Microservices, REST, Docker, Kubernetes

Messaging pipelines (Kafka/Service Bus), monitoring (CloudWatch/Azure Monitor)

Preferred

Experience implementing observability stacks (OpenTelemetry, Prometheus, Grafana, MLflow)

Experience designing and scaling enterprise-grade AI infrastructure that is highly performant, cost-efficient, and optimized for large-scale data and model operations

Knowledge of CI/CD automation, DevSecOps, and infrastructure-as-code

Hands-on experience building and deploying agents for business use cases (e.g., workflow orchestration, data transformation or analysis, multi-agent system)

Background in regulated or large-scale enterprise environments (aerospace, defense, or finance)

Benefits

Healthcare

Wellness

Retirement and work/life benefits

Parental (including paternal) leave

Flexible work schedules

Achievement awards

Educational assistance

Child/adult backup care

Medical

Dental

Vision

Life insurance

Short-term disability

Long-term disability

401(k) match

Flexible spending accounts

Employee assistance program

Employee Scholar Program

Paid time off

Holidays

Company

RTX

Glassdoor3.8

RTX is comprised of three market-leading businesses – Collins Aerospace, Pratt & Whitney and Raytheon – working as one to answer the biggest questions and solve the hardest problems in aerospace and defense.

Founded in 1922

Arlington, Virginia, USA

10001+ employees