Senior AI Engineer – Tieto Tech Consulting

🔥 28 minutes ago

🇩🇪 Germany – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Tieto

WebsiteLinkedInAll Job Openings

10,000+ employees

💼 Consulting

☁️ SaaS

🤖 Artificial Intelligence

Consulting • SaaS • Artificial Intelligence

Tieto is a Nordic IT services and software company that helps organizations turn ideas into results by providing AI and data solutions, software products, cloud and software development, and design and consulting services. It serves multiple verticals — including banking (Tieto Banktech), healthcare (Tieto Caretech), industrial/manufacturing (Tieto Indtech), telecom, public sector, energy and paper and fibre — and emphasizes AI, cloud and digital transformation for enterprise customers.

📋 Description

• Design and build AI agents and workflows solving 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 for 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 operational teams • Support pre-sales through technical scoping and effort estimates • Build customers' AI capabilities through workshops and training • Grow the team through code reviews, knowledge sharing, and technical mentoring • Evaluate suitable technologies, shape customer engagements, and turn prototypes into enterprise-grade solutions

🎯 Requirements

• 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, including testing, code structure, APIs, and CI/CD • Good understanding of cloud-based AI architectures and production environments, preferably Azure • Good understanding of data engineering and integration concepts • Structured approach to quality and systematic evaluation of AI systems • Ability to 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 • Nice to have: Background in classical machine learning with PyTorch, TensorFlow, or scikit-learn • Nice to have: Previous consulting or customer-facing technology project experience • Nice to have: Experience with AI governance or model evaluation • Nice to have: Experience mentoring engineers or owning technical workstreams • CV or LinkedIn profile required with online application

🏖️ Benefits

• Professional growth • Meaningful projects • Open culture • Outstanding work-life balance • Flexible hybrid work model • Opportunity to create the future of a growing, fast-developing, and important sector • Diversity, equity, and inclusion commitment • Curiosity and learning as a lifestyle, with opportunities to unlearn and relearn • Team knowledge sharing, technical mentoring, workshops, and training opportunities