Job
- Level
- Senior
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Jenbach
- Working Model
- Onsite
Job Summary
In this role, you design scalable GenAI architectures, analyze business requirements, develop a technology roadmap, and support teams in implementing and optimizing solutions.
Job Technologies
Your role in the team
- An innovative and international working environment
- Flexible working time model (depending on position and role)
- Health We Care program - including company sports activities
- Moving cost support for new employees in accordance with policy
- Good connections to public transport - station in direct proximity
- Transportation cost support in accordance with policy
- One of the best canteens in the area with healthy and diverse meals.
- Attractive location in the heart of the Alps with various outdoor sports and leisure possibilities
- 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
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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)
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Food & Drink
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Job Locations
This is your employer
Innio
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.
Description
- Language
- English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Engineering Industry
Dev Reviews
by devworkplaces.com
Total
(1 Review)3.6
Engineering
3.3Career Growth
3.5Workingconditions
3.6Culture
4.0