Job
In this role, you will design scalable Generative AI architectures, analyze business requirements, implement technologies, and mentor engineers while working on multiple projects simultaneously.
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Job technologies
Your role in the team
- Analyze business requirements and design end-to-end Generative AI (GenAI) solution architectures and implementation plans for company-wide digital initiatives.
- Lead research and evaluation of GenAI technologies and trends (foundation models, vector databases, agent orchestration frameworks, MLOps platforms) to develop an INNIO-wide GenAI technology roadmap.
- Design and evolve a scalable, reusable GenAI application platform (APIs, services, components) that can be leveraged across multiple products and teams.
- Define architecture and standards for secure, governed data flows between operational systems, data platforms, and GenAI services in alignment with Enterprise Architects.
- Establish and review standards for code, prompts, model configurations, and pipelines in line with software engineering best practices, cyber security, responsible AI, and legal/IP requirements.
- Work on multiple GenAI initiatives in parallel and supervise, coach and guide software and ML/AI engineers in implementing the target architecture.
- Drive and support troubleshooting and optimization of GenAI solutions (quality, latency, cost, reliability, and model behavior) in production environments.
- Provide technical leadership and mentorship, evangelizing GenAI best practices with stakeholders across the company.
Our expectations of you
Education
- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science or related field; Master's degree is a plus.
Qualifications
- Strong skills in distributed systems, cloud-native architecture (microservices, containers, Kubernetes), and modern data storage and retrieval technologies for GenAI workloads (vector databases and relational/time-series databases, e.g., Postgres/MySQL, ClickHouse or similar).
- Strong focus on software quality, performance, maintainability, and security, including awareness of data privacy, governance and responsible AI considerations.
- Knowledge of modern development processes and ways of working (Agile/Scrum, DevOps).
- Bonus: Familiarity with additional backend/frontend frameworks (Java/Spring Boot, ReactJS), and contributions to open-source AI projects or a strong portfolio of public GenAI prototypes.
- A valid work permit for Austria is a prerequisite for this position (Non-EU citizens: please attach the work permit to the application).
- This role requires 50% presence at the headquarters in Jenbach, Austria.
Experience
- 7+ years of experience in software development, with expertise in architecting and delivering AI/ML or GenAI applications at scale on public cloud platforms (AWS, Azure, Google Cloud).
- Hands-on experience with LLMs, GenAI patterns (RAG, agent integration, prompt orchestration), Python, and modern AI/ML ecosystems (PyTorch, TensorFlow, Langchain), plus solid software engineering skills (testing, CI/CD, code review).
What we offer
- At INNIO, we offer an attractive compensation package that is above the collective agreement for the metal industry.
- Your qualifications and experience will be considered in an open dialogue during the recruiting process to ensure a market-competitive compensation package.
Benefits
Work-Life-Integration
Health, fitness & fun
Food & drink
Higher take-home pay
Topics you will work on
Job locations
About your employer
Jenbach
INNIO is a leading provider of gas engines, energy systems, and digital platforms – as well as complementary services in the field of power generation and gas compression. We're focused on meeting the needs of our customers close to home.
- English
- Established Company
- Hybrid, Onsite
- Engineering Industry
Employer reviews
- Career growth
- 3.5
- Working conditions
- 3.6
- Engineering
- 3.3
- Team culture
- 4.0
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