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Tietoevry

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

Tietoevry is hiring a Senior AI Engineer (m/f/d) - Tieto Tech Consulting. It pays €75k a year and Level rates it ; you can apply on Tietoevry.

Level's read on this job

  • Level rates this AI engineer role Builds AI ●●●●: the job is building AI systems.
  • The posting mentions PyTorch, TensorFlow and scikit-learn among its tools and skills.
  • Level classes it as a senior role.
  • Tietoevry has 396 other open roles on Level.

AI in this role

pytorchtensorflowscikit-learn
ragai-agentsml-opsai-evaluation

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
  • 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

 

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.

 

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 offer 

  • We offer you professional growth, meaningful projects, open culture, and an outstanding work-life balance!
  • We offer you an opportunity to create the future of a growing, fast-developing, and important sector.
  • We believe that our organizational culture is an important part of enabling you to be successful.
  • We provide a flexible hybrid work model as part of our culture and way of working.
  • Additionally, we offer benefits like laptop and smartphone also for private use, health programs, team events, excellent public transport connection, food vouchers, contribution to the costs of the Austrian “Klimaticket”, fresh fruits, the perfect environment to prosper professionally, and a lot more.
  • Finally, we also believe in curiosity and learning as a lifestyle where you need to unlearn and relearn every day as new possibilities emerge.

 

The annual gross salary for this position will start from € 75.000,00 on a full-time basis, depending on your qualifications and experience. Our aim is to provide you with a salary package that is both competitive and reflective of your relevant experience, while also aligning with current market standards.

 

Did we get you inspired? 

We look forward to your online application!
Please attach your CV or LinkedIn-profile and we will reach out to you. If you have any questions regarding this role, please contact us: careers.austria@tieto.com

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.

Hope to hear from you soon!

 

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

 

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.
Diversity, equity and inclusion | Sustainability | Tieto

Stay alert to recruitment scams:
• Tieto only communicates via @tieto.com email addresses.
• We never ask candidates to pay fees or share financial details during recruitment.
• If you receive a suspicious message claiming to be from Tieto, don't respond — verify it via our official careers site.
• For more information visit Important Advisory Regarding Recruitment Fraud | Tieto Blog

How we rate this

Senior AI Engineer (m/f/d) - Tieto Tech Consulting at Tietoevry rates 86 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI agentsML OpsAI EvaluationPyTorchTensorFlowscikit-learn

Also common in AI engineer jobs at this level

Pay

Typical AI engineer job
$184k

Use the typical AI engineer figure as a reference when pay comes up. See AI engineer jobs

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How do you decide when an AI agent can act on its own versus asking for approval first?
  3. How do you monitor a model once it's live, and how do you know it needs retraining?
  4. How do you decide that one model's output is better than another's for a given task?
  5. Walk me through how you've used PyTorch in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: RAG, AI agents, ML Ops, AI Evaluation, and PyTorch. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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