Solutions Architect

What we do Merantix Momentum is a Berlin-based AI startup focusing on accelerating AI adoption across many industries through B2B solutions, as well as publicly funded research projects. We work across several domains, including manufacturing, healthcare, the German public sector, and many more, transforming businesses as an external machine learning department. We achieve this using our core expertise in state-of-the-art machine learning combined with our culture of rapid iterations to build scalable solutions. The Solutions Architect (AI for Manufacturing) role is a unique opportunity to shape the future of industrial AI by bridging cutting-edge machine learning with real-world manufacturing challenges. You’ll design and deliver end-to-end AI solutions across the industrial value chain, act as a strategic advisor to clients, and translate complex operational needs into scalable, production-ready systems. Combining technical leadership, domain expertise, and strong client engagement, this role sits at the intersection of innovation and execution, driving digital transformation in one of the most impactful sectors of the economy. Tasks Your role Key Responsibilities: Design and deliver end-to-end AI solutions for manufacturing clients across the industrial value chain– architecting scalable, production-ready data pipelines and AI systems that combine domain knowledge with cutting-edge machine learning. Develop high-level technical architectures tailored to each client’s IT/OT landscape, ensuring seamless integration with existing systems and data infrastructure. Support pre-sales efforts by partnering with account managers, evaluating the feasibility of AI use cases, and providing technical leadership in crafting compelling proposals and RFP responses. Serve as the manufacturing domain expert in client engagements, applying deep process understanding to implement AI solutions that deliver measurable business value—from cost reduction to new digital revenue streams. Bridge strategy and execution by steering key AI initiatives, aligning use cases with industrial standards and operational realities, and guiding our research and engineering teams. Drive thought leadership in AI for manufacturing through industry engagement, business development support, and active participation in events, publications, and public forums. Requirements Your profile Qualifications and Skills: You’re a confident, technically fluent professional who thrives at the intersection of industrial operations, AI/ML, and enterprise IT. With hands-on experience in manufacturing environments, you know how to translate complex operational challenges into data- and AI-driven solutions that deliver real business value. You bring deep domain expertise combined with strong communication skills, and you’re comfortable navigating both technical discussions and strategic conversations – whether on the shop floor or in the boardroom. You would be a great fit if you have: A degree in Industrial Engineering, Mechanical Engineering, Computer Science, or a related field, with solid exposure to AI/ML and data systems Practical experience with industrial operations and manufacturing processes, including OT/IT integration and systems such as MES, SCADA, PLCs, and IoT platforms A strong understanding of data and cloud architectures, and – ideally – hands-on experience building AI/ML systems using platforms like AWS, Azure, or GCP Deep understanding of AI/ML fundamentals and approaches, along with familiarity with data engineering best practices and tools used in production environments (e.g. Databricks) Experience integrating industrial data into AI pipelines while aligning solutions with operational constraints Proficiency in process mapping and requirements engineering, with familiarity in methodologies such as BPMN, SIPOC, or User Story Mapping A strong consulting presence: you’re value-driven, persuasive, and skilled at framing AI opportunities during discovery and pre-sales conversations Experience managing diverse stakeholders and driving alignment to enable AI adoption and digital transformation in industrial settings Fluency in both German and English Benefits What we offer Why Join Merantix Momentum? Engaging Topics and Excellence: Gain unique insights into applied machine learning research and development while working with a team of talented engineers and entrepreneurs; Growth Opportunities: As a rapidly growing startup, you'll find exciting career development prospects within Merantix Momentum; International Team: Join our dynamic, international team committed to making an impact; Learning and Development: Benefit from an annual budget for conferences and educational resources, as well as weekly and monthly AI-related events; Flexible and Open Work Culture: Enjoy a flat hierarchy, open feedback, and flexibility in work-from-home policies and working hours; AI Ethics: Contribute to the development of ethical AI software and engage in open discussions on this topic within our team; State-of-the-Art Workspace: Work in our bright, open office situated on the AI Campus in Berlin; Hardware Support: Receive the necessary equipment to excel in your role. Employee Benefits: Choose from mobility and transportation, sports club membership, or grocery allowances to suit your lifestyle. About us We are an equal-opportunit employer and value diversity. We consider all applications equally regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply, and we can help with immigration.Merantix and it's portfolio companies are an ecosystem of AI technology startups and consultancy services. Here you can find startups doing biotech, medtech, manufacturing, fashion, femtech, pharma, ESG, and much more. Our vacancies are for the Merantix Venture Studio itself as well as for our companies. We have a mix of vacancies, in offices in Berlin or Basel at AI Campus (our own coworking space), at the offices of the company itself or fully remote.