Senior Solution Architect (m/f/d) Industrial AI & Data

eigenblue - We build systems that build physical systems: Our AI systems design and deliver custom-built, multidisciplinary systems to solve real-world R&D challenges. As today’s R&D demand can no longer be met with off-the-shelf tools, our approach crosses traditional boundaries, uniting software, electronics, mechanics, and applied physics. Our proprietary AI models generate system architectures and orchestrate fabs, human teams, and third-party tools to bring them to life. Our deployment teams integrate these systems directly into our customers’ environments, turning complex ideas into working physical solutions. We're looking for a Senior Solution Architect (m/f/d ) to join our Industrial AI & Automation Business Unit. We enable factories to think and act through software, data, and physical automation, and automate engineering and business workflows with AI. Recent projects include a Factory Intelligence Hub, AI-assisted engineering automation, and MES/IIoT platforms. You'll consult industrial and business clients on automation and data challenges, then stay involved through delivery with an interdisciplinary team that designs and builds. Your Role Design and build data & analytics platforms at scale, including data warehouses, RAG pipelines, and AI systems that go beyond standard LLMs – from PoC through to production, on cloud, on-premise, or edge Lead technical discovery and architecture work with clients: assess the current state, define target architectures, select the right tech stack, and own the path to get there Design data architectures and data products for industrial and business environments, including the underlying infrastructure that makes them work reliably Identify where AI creates real value in engineering and industrial processes, and translate that into solutions that actually get shipped Work across client stakeholders from business, OT, and IT: communicating technical decisions clearly to both engineers and decision makers – while supporting internal teams with code reviews, architecture guidance, and mentoring Contribute to shaping the BU: from sales support (scoping, proposals, technical conversations) to improving how we build and deliver as a team Your Profile 5+ years in customer-facing technical roles (consulting, solution architecture, or similar), with a proven track record of delivering production-ready systems Strong foundation in ML and data engineering, including designing real-world data architectures and data products Proficient in Python and SQL, with hands-on experience using tools like Spark, Kafka, Airflow, MLflow, or common ML frameworks Comfortable working across cloud platforms (Azure, AWS, GCP) as well as on-premise and hybrid environments Experience in industrial or enterprise business contexts, or a strong willingness to learn the domain quickly Confident communicator in both German and English, with a university degree in a technical discipline (CS, Engineering, Mathematics, Physics, or similar) Your Benefits We enable: The chance to use newest technologies, an individual learning & development budget and a defined Talent Journey for your further growth We create : Huge impact on future products and insights from a broad range of industries, in an environment with flexible working hours and up to 50% remote work We explore : Regular Tech Discovery and Discovery Conference to stay close to new tech We are community-driven : Vibrant and interdisciplinary tech community as well as regular team buildings and company events eigenblue is colorful - We embrace and value equal opportunities, inclusion, and diversity. Therefore, we welcome every application with pleasure! Find more insights and reasons why you should join eigenblue here . Does that make you curious? Marina is your contact person for further questions and looks forward to hearing from you!