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описание
Tieto Tech Consulting is a digital accelerator for innovation and sustainable value creation. It combines business design with software engineering to bring digital business to life and serves customers with a team of around 300 employees in Austria and Germany and a global team of 8,000 colleagues.
задачи
Design and build AI agents and workflows that solve concrete business problems
Take technical ownership of applied AI solutions, including architecture decisions, engineering standards, and code quality
Build enterprise-grade solutions on modern AI platforms, mainly Azure
Set up environments to operate agentic workloads at scale, including GenAIOps, CI/CD, observability, systematic evaluation, and cost control
Work with customers’ data landscapes, including data pipelines, retrieval, data quality, sensitive data handling, and access control
Integrate AI solutions into customers’ existing IT landscapes and hand them over to the teams that operate them
Support pre-sales with technical scoping and effort estimates
Build customers’ AI know-how through workshops and training
Grow the team through code reviews, knowledge sharing, and technical mentoring
требования
Hands-on experience building and deploying AI solutions in production, beyond prototypes
Practical experience with LLM-based systems, including RAG, agents, or comparable applied GenAI work
Strong Python software engineering skills, including testing, code structure, APIs, and CI/CD
Good understanding of cloud-based AI architectures and production environments
Good understanding of data engineering and integration concepts
Systematically evaluate AI systems and maintain a structured approach to quality
Communicate complex concepts clearly to technical and non-technical stakeholders
Professional working proficiency in German and English
Будет плюсом: Experience with Azure AI services and GenAIOps / MLOps tooling, classical machine learning with PyTorch, TensorFlow, or scikit-learn, consulting or customer-facing technology projects, AI governance or model evaluation, mentoring engineers or owning technical workstreams
условия
Локация: Берлин
Flexible hybrid work model
Professional growth, meaningful projects, open culture, and work-life balance
Opportunity to contribute to a growing and fast-developing sector