AI Engineer

Job Description

Do you want to build AI solutions that move beyond prototypes and deliver real value? Then this role is for you.

Tieto Tech Consulting is the leading digital accelerator for innovation and sustainable value creation. We combine business design with software engineering to bring digital business to life. With a team of around 300 highly qualified employees at our locations in Austria and Germany, and a global team of 8,000 colleagues, we are constantly striving to develop and grow. Our customers trust in our solutions, which is why we are continuously looking for new talents.

As a Senior AI Engineer, you will design and implement AI-enabled workflows in a modern, cloud-driven environment. From tailored agentic systems to the environments they run on, you will be at the forefront of transforming our customers' business processes in the era of AI.

Depending on the customer use case, you will work with Generative AI, large language models, AI agents, and cloud-native AI services. As part of a dynamic and fast-growing practice, you will help evaluate suitable technologies, shape new customer engagements, and turn promising prototypes into enterprise-grade solutions.

When joining Tieto Tech Consulting as a Senior AI Engineer (m/f/d), you

• Design and build AI agents and workflows that solve concrete business problems
• Take technical ownership of applied AI solutions - from architecture decisions to engineering standards and code quality
• Build enterprise-grade solutions on modern AI platforms, mainly Azure
• Set up the environments to operate agentic workloads at scale - GenAIOps, CI/CD, observability, systematic evaluation, and cost control
• Work with our customers' data landscape - data pipelines, retrieval, and data quality, including how sensitive data is handled and access is controlled
• Integrate AI solutions into our customers' existing IT landscape and hand them over cleanly to the teams that run them
• Support pre-sales with technical scoping and effort estimates, and build our customers' own AI know-how through workshops and training
• Grow the team through code reviews, knowledge sharing and technical mentoring

Who we are looking for

• Hands-on experience building and deploying AI solutions in production, not just prototypes
• Practical experience with LLM-based systems: RAG, agents, or comparable applied GenAI work
• Strong software engineering skills in Python - testing, code structure, APIs, and CI/CD, not just notebooks
• Good understanding of cloud-based AI architectures and production environments (preferably Azure)
• A good understanding of data engineering and integration concepts
• A structured approach to quality - you evaluate systems systematically rather than judging them by demo