Job
- Level
- Senior
- Job Feld
- Data, Application
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- München
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du maßgeschneiderte AI-Lösungen, führst Generative AI-Initiativen durch und optimierst die Implementierung von Agentic AI in komplexen Arbeitsabläufen über verschiedene Plattformen hinweg.
Job Technologien
Deine Rolle im Team
- In order to support us, Airbus Defence and Space is looking for an AI Solutions Engineer (d/f/m).
- At Airbus Defence and Space, AI and data are our most strategic assets. As a forward deployed AI (artificial intelligence) implementation lead, you are the technical expert who turns our AI capabilities and platforms into mission-critical AI solutions.
- Working closely with business lines and internal teams, you will be bridging the gap between mission-critical requirements, AI capabilities and operational needs.
- In your job, you will work closely with business teams, managing an end-to-end lifecycle of AI use cases from initial technical assessments and evaluation of possible solutions to deployment into production.
- You will be an integral part of the team responsible for the delivery of a wide range of AI solutions, incl. GenAI (generative AI) and autonomous agentic systems for complex workflows.
- Partner with business leads, technical teams to review feasibility of AI use cases, identify technical bottlenecks and lead development of the required AI solutions from GenAI prompt engineering requests, to implementing RAG (retrieval augmented generation) pipeline, and end-to-end orchestrating of a full agentic solution.
- Evaluate implementation requirements of AI use cases across various Airbus networks / deployment environments and available technology to make critical decisions to minimize end-user / operations impacts and individual AI use cases on the business.
- This may involve revision of API services, data connectors with tech. teams, optimization of prompts with end-users, and fine-tuning of available LLM (large language models) for optimal fit-for-purpose.
- Where appropriate, drive key decisions on the design / implementation of Agentic AI workflows, enabling the GenAI platform to act as an orchestrator of multi-staging tasks, internal platforms, systems and tools while ensuring adherence to ethical guidelines of AI use.
- Act as forward deployed technical liaison and subject matter expert positioned between AI development teams and business teams, actively capturing issues, incidents, failures of individually deployed AI use cases and feed to development teams for future platform evolution.
- Leverage understanding of applicable EU AI compliance policies, security standards and data sovereignty regulations for secure deployment and operations of AI use cases in Airbus environment.
- Manage the end-to-end data science lifecycle for integrating GenAI features into existing solutions, focusing on data preparation, LLM fine-tuning, RAG implementation, and defining rigorous evaluation metrics to enhance the performance of the internal solution.
Unsere Erwartungen an dich
Ausbildung
- Bachelor's Degree in computer science, software engineering, data science or other related technical discipline or preferably a Master's Degree in Artificial Intelligence (AI), Data Science, or Computer Science with specialization in cloud computing, DevOps and/or AI is preferred, reflecting the advanced nature of the role.
Qualifikationen
- A strong understanding of standard AI / GenAI/ Agentic AI development and implementation approaches into cloud platforms (AWS/GCP) and into containerized solutions (via Docker, Kubernetes, OpenShift).
- Expertise in development and implementation of LLMs, RAG pipelines, and Agentic AI across distributed environments and networks.
- Expertise in Agile, DevOps methodologies, and CI/CD (Continuous Integration / Continuous Deployment) practices, essential for the end-to-end delivery focus.
- Recommended additional industry-recognized certifications (e.g. cloud platform certification, DevOps / Container certification, MLOps-specific certifications, etc.).
- Excellent problem-solving and analytical skills, with the ability to work independently in a fast-paced environment.
- Strong communication and collaboration abilities, and comprehensive end-user support and stakeholder management skills and ability to work independently and as part of a team in a fast-paced environment.
- Fluent English, German and English is a plus.
Erfahrung
- Experience with scripting languages (e.g. Python, JavaScript, etc.) for automation and ML/DevOps libraries.
- At least 5+ years continuous working experience in a multinational company in software engineering, data science, and forward-deployed technical roles.
- Previous experience as a liaison between tech development and business teams.
- Python / C++ expert level and experience working across the full stack applications to develop / integrate AI solutions into technology platforms, systems, network environments, etc.
- Mastery of vector databases, graph databases, and experience with basic data ingestion / data quality principles and workflows for evaluation of data sets for AI consumption.
- Experience with implementing rigorous scientific evaluation frameworks for optimal AI outputs.
Unser Angebot
- Our site is just a stone's throw away from Munich, the beautiful capital of Bavaria.
- The Alps and Lake Starnberg are within an hour's reach, offering a multitude of recreational options.
- Fair Compensation & Extras: Attractive remuneration and individual additional benefits, such as company pension schemes, mobility offers (e.g., bike leasing), or corporate discounts with partner companies in accordance with our current guidelines.
- 30 days of annual leave based on our collective agreement (35-hour week); work-life balance through flexible working hours (flextime), mobile working, part-time options, job sharing, and sabbatical opportunities.
- Excellent professional development opportunities and international, group-wide career perspectives.
- On-site company doctor; comprehensive health programs (sports courses, preventive care, etc.), canteen and cafeteria, and local childcare facilities at selected locations.
- Work in a diverse environment with more than 140 nationalities, where exchange, mutual support, and inclusion are part of our DNA.
Benefits
Work-Life-Integration
Gesundheit, Fitness & Fun
Essen & Trinken
Mehr Netto
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Airbus Deutschland GmbH
Airbus ist ein renommiertes Luft- und Raumfahrtunternehmen mit Dienstleistungen, die weltweit Maßstäbe setzen.
Description
- Sprachen
- Englisch
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Fahrzeugbau, Zulieferer, Industrie, Produktion
Dev Reviews
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Gesamt
(1 Bewertung)3.3
Career Growth
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4.0Culture
3.5
AI Solutions Engineer
- Ort
- München
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
