AI Solution Architect

Addepto is a leading AI consulting and data engineering company that builds scalable, ROI-focused AI solutions for large enterprises and startups. It is part of KMS Technology, a US-based global technology group, combining AI specialization with enterprise-scale delivery capabilities. Addepto has developed its own product, ContextClue, and contributes open-source solutions to the AI community. The company has been recognized by Forbes as one of the top 10 AI consulting companies worldwide.

• Bachelor’s or Master’s degree in Artificial Intelligence, Computer Science, Information Systems, or a related field
• Several years of proven experience working with AI applications and modern AI technologies (e.g. ML, Generative AI, LLMs, Agentic AI)
• Experience with major AI frameworks such as TensorFlow or PyTorch
• Experience with AI cloud platforms (e.g. AWS, Azure, SAP AI)
• Strong understanding of AI architecture design and implementation
• Experience with MLOps and production deployment of AI systems
• Experience in industrial environments (e.g. predictive maintenance) is a plus
• Experience with AI agents and workflow automation is an advantage
• Experience building or contributing to AI Centers of Excellence or AI programs is a plus
• Excellent communication and presentation skills in English; German is a plus
• Willingness to travel (initial onboarding period and occasional workshops)

• Act as a go-to expert for AI-related topics across client engagements
• Lead the design of end-to-end AI architectures, including data pipelines, model training environments, integrations, and MLOps strategies
• Evaluate and select appropriate AI frameworks, tools, and models
• Support decision-making processes for make vs. buy AI solutions
• Ensure AI solutions comply with security standards, ethical guidelines, and enterprise reliability requirements
• Support product management and innovation teams in identifying AI use cases that deliver real business value
• Contribute to the creation of AI strategy and roadmaps, including ideation workshops, AI hackathons, and architecture discussions
• Provide technical leadership in Machine Learning, Generative AI, and Agentic AI
• Collaborate with product managers, data scientists, data engineers, and DevOps engineers to bring AI solutions into production
• Monitor and improve AI systems using performance metrics, A/B testing, and optimization techniques
• Research and evaluate emerging AI technologies and assess their impact on business transformation
• Drive knowledge sharing and AI adoption across the organization