About
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.
Responsibilities
•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
Requirements
•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
Nice to have
•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
Conditions
•Location: Berlin
•Flexible hybrid work model
•Professional growth, meaningful projects, open culture, and work-life balance
•Opportunity to contribute to a growing and fast-developing sector
