AI Solution Architect

—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 (e.g. efficiency improvements, customer 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

—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)

—Work in a supportive team of passionate enthusiasts of AI & Big Data.

—Engage with top-tier global enterprises and cutting-edge startups on international projects.

—Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.

—Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications.

—Choose your preferred form of cooperation: B2B or a contract of mandate, and make use of 20 fully paid days off.

—Participate in team-building events and utilize the integration budget.

—Celebrate work anniversaries, birthdays, and milestones.

—Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.

—Get full work equipment for optimal productivity, including a laptop and other necessary devices.

—With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.

—Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.