AI Platform Engineer

RTX • Farmington, CT

2d • Hybrid

About The Position

This position is part of the Enterprise Services – Data & AI organization within RTX Corporate, supporting the company’s mission to develop and scale AI capabilities responsibly and securely across the enterprise. The AI Platform Engineer will design and implement the software and infrastructure that enable scalable and secure AI applications across RTX. The role focuses on developing APIs, orchestration services, and observability capabilities that connect AI models and intelligent systems with enterprise data and services.

Requirements

• 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)

Nice To Haves

• 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).

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.

Benefits

• Whether you’re just starting out on your career journey or are an experienced professional, we offer a robust total rewards package with compensation; healthcare, wellness, retirement and work/life benefits; career development and recognition programs.
• Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance and child/adult backup care.
• Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays.
• Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees