Senior AI Solutions Architect — Production-ready AI, Hybrid

Airbus

Georgia

Hybrid

USD 180,000 - 240,000

Full time

14 days+
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Job summary

Airbus Americas, Inc. is seeking a Lead AI Solutions Systems Engineer to direct technical AI initiatives across North America, including Herndon, VA and other US sites.

You will architect production-grade AI systems, translate business problems into data specs, and work with global teams to align on standards and governance. The role requires a Master’s in AI/ML or related field and 10+ years of hands-on experience with Generative/Agentic AI systems, plus strong software engineering and cloud

Qualifications

  • Master's degree in AI (ML / Data Science), Computer Science, or a highly quantitative field.
  • 10+ years of hands-on, production-grade AI/analytics experience and at least one Generative/Agentic AI system
  • Experience across Corporate and Operations domains in a large global enterprise
  • Strong leadership in designing production-ready architectures and microservices

Responsibilities

  • Lead technical architecture and solution design for AI initiatives.
  • Prototype PoCs and co-author code to accelerate industrialization.
  • Collaborate with European teams to align with global enterprise standards.
  • Translate business problems into technical specifications and data requirements.

Skills

AI architecture
Data modeling
Software engineering
MLOps
API design
Docker
Kubernetes
Python
Cloud services

Education

Master's degree in AI/ML/Data Science or related field

Tools

Docker
Kubernetes
PostgreSQL
BigQuery
Firebase
GCP Vertex AI

Job description

Airbus Americas, Inc. is seeking a Lead AI Solutions Systems Engineer to direct technical AI initiatives across North America, including Herndon, VA and other US sites.

You will architect production-grade AI systems, translate business problems into data specs, and work with global teams to align on standards and governance. The role requires a Master’s in AI/ML or related field and 10+ years of hands-on experience with Generative/Agentic AI systems, plus strong software engineering and cloud

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