Airbus

1 day ago

Solution Innovator - Agentic AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

Lead the AI-Native transition for the U.S. region by scouting emerging agentic AI technologies and developing compliant, local workflows. Own multi-dimensional feasibility (operational, technical, economic, legal, and sustainability) and create architecture dossiers for future solutions. Rapidly prototype GenAI/agentic AI capabilities, validate learnings for roadmaps and business cases, and consolidate regional digital needs while enforcing data guardrails like GDPR and export controls.

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Drive the shift to being AI-Native in the U.S. region by benchmarking maturity models and establishing compliant local agentic workflows.
•Scout emerging U.S.-based agentic AI technologies for spares, maintenance planning, pilot training, and smart catering.
•Ensure multi-dimensional feasibility for future technical solutions and create formal Architecture Dossiers.
•Enforce governance and IP safety by consolidating regional digital needs, protecting intellectual property, and applying data guardrails (GDPR, Export Control).
•Develop functional technical prototypes to de-risk technology bricks and feed validated learnings into roadmaps and business cases.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisability InsurancePaid LeaveParental LeaveRetirement SavingsE-learning

Key Requirements

•Bachelor’s degree in Engineering, Computer Science, or a relevant technical field; Master’s degree preferred.
•Deep theoretical and practical knowledge of Artificial Intelligence, with direct focus on Generative AI, Agentic AI, RAG, and Prompt Engineering.
•Hands-on technical skills building and deploying within cloud infrastructure frameworks such as AWS and/or Google Cloud Platform (GCP).
•Proven ability to rapidly prototype GenAI solutions while applying a strong strategic mindset to build sound business structures.
•Demonstrated understanding of data sensitivity frameworks, including GDPR, Export Controls, and corporate IP protection.

Education:Bachelor's

Skills:Strategic thinkingRapid prototypingData governance awarenessCommunicationEnterprise literacy

Languages:English

Tech Stack:Artificial IntelligenceGenerative AIAgentic AIRetrieval-Augmented Generation (RAG)Prompt EngineeringGeminiAmazon Web Services (AWS)Google Cloud Platform (GCP)GDPRExport Control

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Airbus

Designs, manufactures, and sells commercial aircraft, helicopters, defense and space systems, and related services worldwide. Airbus is a leading aerospace and defense company delivering integrated solutions for civil and military aviation customers.

Industry: Aerospace Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Toulouse, France

Founded: 1970

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

Airbus

1 day ago

Solution Innovator - Agentic AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Drive the shift to being AI-Native in the U.S. region by benchmarking maturity models and establishing compliant local agentic workflows.
•Scout emerging U.S.-based agentic AI technologies for spares, maintenance planning, pilot training, and smart catering.
•Ensure multi-dimensional feasibility for future technical solutions and create formal Architecture Dossiers.
•Enforce governance and IP safety by consolidating regional digital needs, protecting intellectual property, and applying data guardrails (GDPR, Export Control).
•Develop functional technical prototypes to de-risk technology bricks and feed validated learnings into roadmaps and business cases.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisability InsurancePaid LeaveParental LeaveRetirement SavingsE-learning

Key Requirements

•Bachelor’s degree in Engineering, Computer Science, or a relevant technical field; Master’s degree preferred.
•Deep theoretical and practical knowledge of Artificial Intelligence, with direct focus on Generative AI, Agentic AI, RAG, and Prompt Engineering.
•Hands-on technical skills building and deploying within cloud infrastructure frameworks such as AWS and/or Google Cloud Platform (GCP).
•Proven ability to rapidly prototype GenAI solutions while applying a strong strategic mindset to build sound business structures.
•Demonstrated understanding of data sensitivity frameworks, including GDPR, Export Controls, and corporate IP protection.

Education:Bachelor's

Skills:Strategic thinkingRapid prototypingData governance awarenessCommunicationEnterprise literacy

Languages:English

Tech Stack:Artificial IntelligenceGenerative AIAgentic AIRetrieval-Augmented Generation (RAG)Prompt EngineeringGeminiAmazon Web Services (AWS)Google Cloud Platform (GCP)GDPRExport Control

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Airbus

Industry: Aerospace Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Toulouse, France

Founded: 1970

Website LinkedIn