As an AI Deployment Architect, you will play a central role in shaping how organizations leverage artificial intelligence to transform their operations. Working closely with enterprise customers, you'll assess business challenges and architect end-to-end AI solutions that integrate seamlessly with process intelligence and automation platforms.
Key Responsibilities
- Communicate the strategic value of AI capabilities to technical and non-technical stakeholders, aligning solutions with organizational objectives
- Design, build, and deploy custom AI applications using both traditional machine learning models and large language models tailored to specific business needs
- Identify patterns across customer implementations to develop reusable, scalable AI frameworks and use cases
- Document and disseminate success stories to inform product strategy and internal knowledge sharing
- Guide high-impact customer initiatives by defining technical roadmaps and deployment milestones
- Collaborate with engineering and product teams to shape future platform capabilities based on real-world feedback
- Train internal teams on AI deployment best practices and support go-to-market initiatives
- Architect integrated solutions that unify AI, process intelligence, and workflow automation
Qualifications
Successful candidates will have a background in analytical or technical roles focused on delivering data-driven value, preferably in customer-facing environments within SaaS or enterprise software. You should have hands-on experience building and deploying AI systems at scale.
- Proven track record developing enterprise-grade AI solutions with measurable business impact
- Proficiency in Python and experience applying machine learning and LLMs in production environments
- Ability to design robust, extensible architectures that support evolving business requirements
- Strong communication skills to translate technical concepts for diverse audiences
- Experience leading end-to-end deployment cycles, including acceptance testing and integration
- Fluency in German is required
- Degree in Computer Science, Engineering, Mathematics, Econometrics, or a related analytical discipline
Technology Environment
You'll work with modern AI tools and frameworks, focusing on Python-based development, machine learning pipelines, large language models, process intelligence systems, and automation technologies.
Work Environment
This position operates in a hybrid model, combining flexible in-office and remote work to support collaboration and work-life balance. You'll join a global team that values autonomy, innovation, and inclusive dialogue.
Company Values
- Focus on delivering tangible value to customers
- Build high-performing, diverse teams where everyone contributes
- Take ownership of outcomes and drive initiatives forward
- Commit to sustainable practices and long-term impact
Benefits
- Comprehensive health and wellness programs, including counseling and fitness support
- Generous paid time off and extended parental leave
- Equity compensation through RSUs
- Volunteer days and community engagement opportunities
- Dedicated learning and career development programs with mentorship
- Hybrid work model supporting flexibility and team connection
