Senior Enterprise AI Architect | Hybrid, Scalable AI

RTX; Charlotte (NC); Hybrid; USD 132,000 - 252,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) match

Flexible work schedules

Employee assistance program

Job summary

RTX is seeking an experienced AI Architect to define and guide enterprise AI/ML architectures across the organization. You will partner with business units, product teams, engineering, and security to translate complex needs into scalable, secure AI solutions.

Responsibilities include designing end-to-end architectures for traditional ML, Generative AI, and agentic AI, developing reusable reference architectures, patterns, and guardrails, and guiding adoption across RTX while managing risk and

Qualifications

• A university degree in Computer Science, Artificial Intelligence, Engineering, or related STEM with 10+ years of experience, or an advanced degree with 7+ years.
• At least 5 years designing, developing, integrating, or architecting AI/ML solutions into production.
• Experience as technical architect/lead for complex enterprise software, data, cloud, or AI/ML systems.
• Technical experience with AI/ML systems including Generative AI and large language models.
• Experience designing distributed systems, APIs, microservices, data pipelines, or cloud-native apps using major public clouds.

Responsibilities

• Define end-to-end architectures for enterprise AI/ML solutions across models, data, apps, APIs, platforms, infrastructure, and enterprise systems.
• Translate business opportunities and requirements into architecture blueprints, strategies, success criteria, and roadmaps.
• Lead architecture reviews and mentor across engineering teams; collaborate with security, data, identity, and Responsible AI teams.

Skills

AI/ML architectures

Enterprise architecture

Cloud platforms

Software design

Data pipelines

MLOps

Security integration

Leadership

Mentorship

Education

Bachelor's degree in CS/AI/Engineering

Advanced degree in related field

Tools

Kubernetes

CI/CD

Infrastructure as Code

Job description

RTX is seeking an experienced AI Architect to define and guide enterprise AI/ML architectures across the organization. You will partner with business units, product teams, engineering, and security to translate complex needs into scalable, secure AI solutions.

Responsibilities include designing end-to-end architectures for traditional ML, Generative AI, and agentic AI, developing reusable reference architectures, patterns, and guardrails, and guiding adoption across RTX while managing risk and