Lead AI Solutions Systems Engineer

Airbus

Hybrid

Quick summary

Work type: Hybrid
Location: Herndon, VASunnyvale, CAAtlanta, GAGrand Prairie, TXMobile, AL
Posted: 3 days ago
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $207k

$159k most similar roles pay here $255k

This listing doesn't post a salary. Most similar roles pay $168,262–$246,150.

Based on 240 similar postings.

Employer

About Airbus

Airbus is a leading global aircraft manufacturer and aerospace company producing commercial jets (A320, A350, A380), military aircraft, helicopters, and space systems for customers worldwide. Industry: Aerospace & Aviation Manufacturing

Airbus currently has 4 open roles on FindRole.

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At a glance

TL;DR · Lead AI Solutions Systems Engineer

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Airbus Digital seeks a Lead AI Solutions Systems Engineer for its North America AI and Advanced Analytics Product Service Line, based in Herndon, VA, Atlanta, GA, Sunnyvale, CA, or Mobile, AL. This role involves leading technical strategy, data modeling, and solution design from proof-of-concept to industrialization, collaborating with business stakeholders to translate complex problems into rigorous technical specifications. The engineer will use Python, PyTorch, TensorFlow, and Google Cloud Platform tools like GCP Cloud Run and BigQuery, while also supporting the transition to Gemini Enterprise for robust no-code agentic structures. With a focus on advanced analytics and AI, this position requires 10+ years of hands-on experience in AI architecture and engineering across various business domains, including manufacturing, with expertise in database modeling and microservices implementation.

Skills

Python PyTorch TensorFlow SciKit MLlib Google Enterprise Agent Platform PostgreSQL BigQuery GCP Cloud Run Docker Kubernetes Streamlit React CI/CD MLOps LLM-Wiki RAG Neo4j Palantir Foundry Vertex AI Studio

What you'll do

Evaluate technical feasibility and data readiness for AI initiatives.
Translate complex business problems into rigorous mathematical requirements.
Design solution blueprints and evaluate build-vs-buy trade-offs.
Lead the transition to Gemini Enterprise, designing migration paths.
Coordinate with European teams to align local implementations globally.

What we're looking for

Minimum 10 years experience in advanced analytics initiatives with hands-on AI architecture and engineering.
Proven technical leadership in designing production-ready system architectures, including database modeling and microservices implementation.
Deep expertise in software development lifecycles, API design, containerization, testing, and deployment pipelines.
Mastery of mathematical foundations of AI, translating knowledge into reliable, production-ready system designs.
Strong working familiarity with advanced analytics platforms like SciKit, MLlib, PyTorch, TensorFlow, and agentic AI stacks.

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