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INNIO Group is a global distributed energy solutions provider that delivers reliable, flexible, transient, decentralized, modular and efficient power. With a track record of innovation, INNIO designs, manufactures and services high‑performance power systems under its Jenbacher and Waukesha brands. The company delivers power for applications including data centers, microgrids, grid stabilization, industrial energy and gas compression.
INNIO operates a global installed base across approximately 100 countries as of December 31, 2025, supported by a resilient, high‑margin services business that delivers long‑term, recurring revenues across the full equipment lifecycle. As electricity demand accelerates—driven by AI, electrification and grid constraints—INNIO enables scalable, behind‑the‑meter power generation with high efficiency, fast start capability, strong transient performance and fuel flexibility, including hydrogen‑ready solutions. INNIO employs over 5,000 people worldwide and is committed to moving energy forward.

What INNIO offers you:

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 various meals
Attractive location in the heart of the Alps with various outdoor sports and leisure possibilities

Your Responsibilities:

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

Your Profile:

Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science or related field; Master’s degree is a plus
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)
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

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.

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