Hybrid Enterprise AI Architect for Generative & MLOps

RTX Corporate

Farmington (CT)

Hybrid

USD 132,000 - 252,000

Full time

14 days+

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Benefits offered by this job

Parental leave
Flexible work schedules
Achievement awards
Educational assistance
Paid time off

Job summary

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

The role emphasizes reusable capabilities, reference architectures, and governance across cloud, hybrid, and on‑premises environments. The ideal candidate combines deep AI/ML expertise with software, data, and cloud architecture experience

Qualifications

  • A University Degree in Computer Science, AI, ML, Engineering, or related STEM; 10+ years, or Advanced Degree with 7+ years.
  • 5+ years designing or architecting AI/ML solutions and taking capabilities to production.
  • Experience as technical architect/lead for complex enterprise software, data, cloud, or AI/ML systems.

Responsibilities

  • Define end‑to‑end architectures for enterprise AI/ML solutions across multiple domains.
  • Translate business opportunities into architecture blueprints and roadmaps.
  • Lead architecture reviews and mentor engineering teams.

Skills

Distributed systems design
Public cloud platforms
Kubernetes
CI/CD
Security and governance

Education

Bachelors in CS/AI/Engineering
Advanced degree in related field

Tools

Kubernetes
CI/CD pipelines
Infrastructure as code

Job description

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

The role emphasizes reusable capabilities, reference architectures, and governance across cloud, hybrid, and on‑premises environments. The ideal candidate combines deep AI/ML expertise with software, data, and cloud architecture experience

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