INNIO Careers

Description

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

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.