Nexxa.ai is hiring a Lead Solutions Architect

Lead Solutions Architect Location: Remote - US Company: AI Innovation Enterprise Reports to: Founding GTM About AI Innovation Enterprise We are developing cutting-edge artificial superintelligence for industrial sectors — enabling systems, machinery, and organizations to think, decide, and act autonomously. Our partnerships with premier industrial enterprises unlock unprecedented levels of operational efficiency, velocity, and cognitive capabilities. We're revolutionizing automation by constructing the intelligence framework powering industrial transformation. The Role We are recruiting a Lead Solutions Architect to drive technical exploration, design transformative AI automation solutions, and support pre-sales engagement with global industrial organizations. This position bridges technical consulting, workflow design, and strategic customer interactions. You will deeply integrate into customer environments — virtually and in-person — to uncover profound operational challenges and transform them into high-ROI solution architectures using our advanced technological platform. This is a hands-on, significant role for a technical leader who excels in complex environments and aims to redefine industrial intelligence adoption. Key Responsibilities Customer Discovery & Strategy - Conduct immersive discovery sessions with operators, engineers, and executives across industrial environments. - Map workflows, bottlenecks, and system interactions to identify AI automation opportunities. - Translate unstructured customer pain points into clear, actionable technical requirements. Pre-Sales Technical Leadership - Partner with Founding GTM to guide customers through early exploration and technical validation. - Communicate solution capabilities, architectural approach, and delivery methodology. - Build trust by framing technical tradeoffs, risks, and expected ROI. Scoping & Engagement Planning - Develop detailed statements of work (SOWs) with clear deliverables, timelines, and success metrics. - Collaborate with engineering to ensure discovery insights translate into executable build plans. - Support customers through architecture, scoping, and early delivery planning. Cross-Functional Collaboration - Work closely with engineering, product, and GTM to align solution design with organizational goals. - Identify repeatable patterns that can become future solution modules or platform features. - Help shape customer engagement and delivery playbook from the ground up. Qualifications - 7+ years in solutions architecture, technical consulting, automation design, or similar roles. - Experience in construction, automotive manufacturing, oil & gas, industrial automation, or related sectors. - Exceptional ability to translate business problems into structured technical solutions. - Strong technical foundation in: - Cloud platforms (AWS, Azure, GCP) and hybrid architectures. - Enterprise integration patterns (APIs, microservices, event-driven systems). - Data engineering concepts (ETL pipelines, data lakes, real-time streaming). - Hands-on experience with: - AI/ML workflows, including LLMs, VLMs, and Computer Vision systems. - Model deployment and MLOps for production environments. - Design and engineering software for industrial workflows. - Ability to design complex architectures with clear data flows, scalability, and fault tolerance. - Proficiency in at least one programming language (Python preferred; familiarity with Java or C# a plus). - Comfort with containerization and orchestration (Docker, Kubernetes). - Understanding of security and compliance for industrial environments. - Strong communicator with presence across technical and executive audiences. - Comfortable in early-stage, fast-moving environments with evolving processes. - Ability to travel for onsite discovery, workshops, and customer meetings. Why Join Us - Work directly with Founding GTM and executive team to define industrial AI adoption. - Architect the intelligence layer for operationally complex industries. - Remote role with flexible travel, competitive compensation, equity, and long-term growth opportunities.