Job
- Level
- Senior
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 75.000 € Gross/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop complex AI systems in hybrid cloud environments, integrate machine learning methods, and implement security standards while building MLOps processes and agentic workflows.
Job Technologies
Your role in the team
- As a Senior AI Engineer (m/f/x), you are the technical core of AI transformations – the bridge between strategic enterprise architecture and professional software development.
- You act as a consultant who combines strong machine learning fundamentals with solid engineering and modern agentic frameworks to develop mission-critical AI ecosystems in hybrid cloud environments.
- Your responsibilities include:
- Architecture of end-to-end AI systems including data acquisition, orchestration, and robust ML methodology.
- Integration of AI solutions into hybrid cloud environments considering security and compliance.
- Development of agentic workflows and modern RAG concepts for controllable autonomous systems.
- Development and operation of complete MLOps lifecycle including monitoring, drift detection, and technical guardrails.
- Establishment of reusable engineering standards, frameworks, and clean code-compliant libraries.
- Definition and implementation of Responsible AI and governance guidelines, including auditability.
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Our expectations of you
Qualifications
- Excellent German and very good English skills.
- Very solid ML knowledge including feature engineering, evaluation methods, etc., as well as comprehensive MLOps practice from CI/CD through registries to monitoring and drift detection.
- Experience in working with (Agentic) AI frameworks (e.g., LangGraph, AutoGen, CrewAI), orchestration platforms, advanced RAG concepts, and vector databases.
- Proficient in Docker, Kubernetes/OpenShift, and Microservices.
- Background in Solution Architecture or Cloud Architecture certifications.
Experience
- At least 7 years of AI/ML experience and a minimum of 5 years of Software Engineering experience focusing on Python and OOP.
- Experience with watsonx or Azure/AWS/GCP and very good knowledge in designing secure hybrid cloud solutions.
- Experience with LLM‑fine‑tuning strategies (LoRA, QLoRA, Delta‑Tuning, Domain‑Adaptation) and pre‑training of large models.
- Experience with High-Performance Computing, GPU acceleration, parallelization, and optimized distributed training frameworks.
- Experience in developing AI governance frameworks, risk analyses, and compliance models in regulated industries.
- Experience with multi-cloud and hybrid-cloud deployment strategies.
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What we offer
- In addition to exciting projects, we offer flexible working hours, a modern working environment, and the possibility of working from home.
- Additionally, you will receive a collectively agreed salary starting from €75,000 gross per year for 38.5 hours per week, with willingness to pay above this depending on your qualifications and experience.
- We value inclusion and welcome applications from people with accessibility needs in the workplace.
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Benefits
More net
- 🚙Company Car
- 💻Company Notebook for Private Use
- 🛍Employee Discount
- 📱Company Phone for Private Use
- 👴🏻Company Retirement Provision
Work-Life-Integration
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
IBM iX Austria
Graz, Wels, Wien
We are ecx.io, one of Europe's leading digital agencies. For over 22 years we have been implementing digital marketing and e-commerce projects – both internationally and as full-service providers.
Description
- Founding year
- 1995
- Language
- English
- Company Type
- Digital Agency
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Dev Reviews
by devworkplaces.com
Total
(1 Review)3.9
Workingconditions
4.5Career Growth
4.0Culture
3.7Engineering
3.6
Senior AI Engineer
- Salary
- from 75.000 € Gross/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
