Customer Solutions Architect

• 10+ years in systems engineering, solutions architecture, or technical consulting - with at least 3 years designing solutions for enterprise customers
• Deep experience with enterprise integration patterns: APIs, ETL/ELT pipelines, event-driven architecture, data warehousing, and cloud-native services (AWS preferred)
• Strong understanding of AI/ML system architecture - you know how to design RAG pipelines, ML algorithms and usage, multi-agent orchestration, model serving, and feedback loops
• Track record of translating ambiguous business problems into clean technical architecture with clear scope boundaries
• Experience working with heavy industry, manufacturing, supply chain, or logistics customers - you understand the data complexity and system heterogeneity in these domains
• Excellent technical documentation skills - your architecture diagrams, scoping docs, and technical specs are clear enough for engineers to execute against without ambiguity
• Strong communication skills - you can present to a C-level and debug with an engineer in the same day
• Comfort with customer-facing work - you’ll be in workshops, on calls, and in rooms with enterprise stakeholders regularly, * Experience with industrial data systems and ecosystems (HANA, S/4, BTP) or Siemens/industrial software stacks
• Background in consulting (McKinsey, BCG Digital, Accenture Technology, Palantir Forward Deployed) or enterprise SaaS implementation
• Prior startup experience where you had to build the architecture playbook from scratch
• Familiarity with Confluence, Jira, and infrastructure-as-code (Pulumi/Terraform)

Nexxa.ai is building artificial super intelligence for heavy industries - enabling machines, systems and operations to think, decide and act autonomously across manufacturing, large-scale infrastructure, logistics and legacy environments. Our mission is to translate deep technical breakthroughs into operational reality, solving some of the hardest systems-level problems in industry.