필수 스킬
Machine Learning
Job Description:
As an AI Solution Architect at Airbus Defence and Space, you will be at the forefront of shaping our AI-driven future. You will balance cutting-edge artificial intelligence opportunities with business process requirements and ethical considerations, planning, designing, and integrating AI system components such as machine learning models or natural language processing systems. Your role will be pivotal in integrating the latest AI components and technology within the global architecture design, aligning technical requirements, principles, and models with our Enterprise Architecture guidelines.
You will provide the necessary leadership, analysis and design tasks related to the development of the AI enterprise's solutions architecture incl. systems (not just applications, but also processes and information), shared infrastructure services, and shared application services and components to better match targeted business outcome objectives. Your role will be to bridge the gap between existing components/systems of the IT/IM landscape and the AI solutions including Agentic AI, MCPs, A2A protocols, etc.
You will collaborate closely with Data Scientists, AI Engineers, Developers and other Technology Specialists to ensure the seamless integration of AI solutions across applications, systems, and platforms. Your work will drive business objectives, enhance decision-making processes, and foster responsible AI practices, ensuring transparency, fairness, and accountability in all AI-driven initiatives.
Your Responsibilities:
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AI solution architecture design incl. non-functional requirements (i.e. not linked to any business process). Perform the technical and functional design of AI and infrastructure components for new solutions, adhering to defined functional and ethical design principles.
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Contribute to Architecture Requirement Dossiers by creating Spec/Design, Operation, and Installation Dossiers
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Create consistent solution architecture across all architecture layers
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Solution adherence to domain target architecture, architecture principles, guidelines and corporate technology standards
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Technology assessment: Assist in the development of prototypes providing recommendations on technology to use including DevOps/MLOps and LLMs
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Reporting of deviations
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Visionary Leadership: Proactively assist in defining the direction for future AI-driven products and services, validating AI product designs.
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Collaborative Innovation: Work with other Architects, Data Scientists, Data Engineers, and developers to deliver high-quality, innovative AI solutions using cutting-edge technologies and best practices.
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Architectural Guidance: Define solution patterns and architectural frameworks to guide AI solution decisions, ensuring scalability, maintainability, and responsible AI practices.
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Full Lifecycle Participation: Engage in all phases of the AI development life cycle, from research and design to development, testing, implementation, and support.
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Strategic Alignment: Align AI architecture strategy with the organization's business goals and long-term strategic planning, ensuring that AI initiatives drive value and competitive advantage.
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Business Process Improvement: Provide expertise on business processes, change management transformation, function improvement, and technology enablement for AI-driven business process reengineering.
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Continuous Learning: Stay current with the latest AI advancements, trends, and tools, continuously evaluating their potential impact and value to the organization, and fostering a culture of innovation and responsible AI adoption.
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Ethical AI: Ensure that AI solutions are transparent, explainable, and fair, addressing potential biases and promoting trust in AI-driven decision-making processes.
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Data Management: Work closely with data governance and data management teams to ensure the quality, availability, and security of data used in AI solutions.
This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.
Company:
Airbus Defence and Space SAU:
Employment Type:
Permanent
Experience Level:
Professional
Job Family:
Digital
By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.
Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com.
At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.
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Airbus 소개

Airbus
PublicAirbus SE is a European aerospace corporation. While the company's primary business is the design and manufacture of commercial aircraft, it also operates separate divisions for Defence and Space and Helicopters.
10,001+
직원 수
Leiden
본사 위치
$89B
기업 가치
리뷰
10개 리뷰
3.7
10개 리뷰
워라밸
3.2
보상
4.0
문화
4.1
커리어
3.5
경영진
3.8
72%
지인 추천률
장점
Learning opportunities and professional development
Supportive team and collaborative environment
Good compensation and benefits
단점
High pressure and performance expectations
Long hours and overwhelming workload
Bureaucratic and rigid structure
연봉 정보
43개 데이터
Junior/L3
L2
L6
L3
L4
L5
Junior/L3 · Data Science Engineer
1개 리포트
$114,826
총 연봉
기본급
$88,327
주식
-
보너스
-
$114,826
$114,826
면접 후기
후기 4개
난이도
3.0
/ 5
소요 기간
14-28주
합격률
25%
경험
긍정 25%
보통 75%
부정 0%
면접 과정
1
Application Review
2
HR Screen
3
Technical/Hiring Manager Interview
4
Panel Interview
5
Offer
자주 나오는 질문
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
최근 소식
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