Senior AI Engineer (m/f/d) - Tieto Tech Consulting

About the Role

Do you want to build AI solutions that move beyond prototypes and deliver real value? 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.

About Tieto Tech Consulting

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.

Responsibilities

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

• 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

Requirements

Essential

• 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
• Ability to communicate complex concepts clearly to technical and non-technical stakeholders
• Professional working proficiency in German and English, enabling you to confidently communicate with customers and project teams

Nice to Have

• Experience with Azure AI services and GenAIOps / MLOps tooling
• A background in classical machine learning (PyTorch, TensorFlow, scikit-learn), for the use cases where a trained model beats a prompt
• Previous experience in consulting or customer-facing technology projects
• Experience with AI governance or model evaluation
• Experience mentoring engineers or owning technical workstreams

What We Look For

We believe you are a valuable team player who takes initiative and demonstrates responsibility in organizing your work and completing tasks. Communication is essential in our workplace, and we appreciate your willingness to both learn from and coach your colleagues. As technology continues to rapidly develop, we admire your drive to learn new and innovative technologies.

We know that great candidates do not always meet every requirement. If you are excited about the role and believe your experience could add value to our team, we encourage you to apply.

What We Offer

• Professional growth, meaningful projects, open culture, and an outstanding work-life balance
• An opportunity to create the future of a growing, fast-developing, and important sector
• A flexible hybrid work model as part of our culture and way of working
• A workplace that values curiosity and learning as a lifestyle, where you need to unlearn and relearn every day as new possibilities emerge

Locations

Vienna, Linz, Graz, Regensburg, Berlin, remote in Germany

How to Apply

Please submit your online application with your CV or LinkedIn profile. If you have any questions regarding this role, please contact us: [email protected]

Please note that while we are happy to answer questions via email, we can only consider applications submitted through our online application system and therefore cannot accept applications sent directly by email.

Diversity & Inclusion

At Tieto, we believe in the power of diversity, equity, and inclusion. We encourage applicants of all backgrounds, genders (m/f/d), and walks of life to join our team, as we believe that this fosters an inspiring workplace and fuels innovation. Our commitment to openness, trust, and diversity is at the heart of our mission to create digital futures that benefit businesses, societies, and humanity.

Security Notice

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