Customer Solutions Architect

🕒 il y a 2 mois

🏄 California – Distant

🏄 California – Remote

⏰ Temps Plein

🟠 Senior

🔴 Expert

💻 Ingénieur Solutions

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Nexxa.ai

Site WebLinkedInTous les Emplois

11 - 50 employés

Fondée en 2024

🤖 Intelligence artificielle

☁️ SaaS

🏢 Entreprise

Artificial Intelligence • SaaS • Enterprise

Nexxa. ai est une entreprise d'IA industrielle développant une automatisation avancée pour les opérations industrielles. Sa plateforme apprend des ingénieurs et employés pour reprendre des processus complexes et répétitifs, en fixant de manière autonome les objectifs et les critères d'exécution pour accroître la productivité et la résilience. Proposée sous forme de solution intégrée qui fonctionne avec les infrastructures technologiques existantes, Nexxa. ai se positionne comme un outil d'entreprise semblable à un SaaS, générant un retour sur investissement immédiat pour les équipes opérationnelles.

Description

• Decompose customer requirements from workshops and discovery into structured product requirements, system architecture, and technical specifications • Design end-to-end solution architecture for each customer challenge, scope into a milestone driven project plan, mapped to product roadmap • Map customer requirements to product capabilities — identifying what's reusable, what's custom, and what should become platform features • Create technical scoping documents with effort estimates, dependencies, risks, and milestone definitions for every engagement • Coordinate with engineers (Applied AI and Core engg.) to ensure architecture-driven execution • Participate in customer workshops and technical deep-dives, serving as the technical authority on what's feasible, what's optimal, and what the trade-offs are • Define integration architecture for enterprise systems: legacy ERPs, CRMs, MES, PLMs and IoT platforms • Establish reusable architecture patterns and reference implementations that accelerate future customer deployments • Own the technical proposal and SOW inputs — ensuring commercial commitments are technically grounded

🎯 Exigences

• 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 • Comfort with customer-facing work — you'll be in workshops, on calls, and in rooms with enterprise stakeholders regularly.

🏖️ Avantages

• Architect the intelligence layer for the world's largest industrial companies — your designs will run with top Fortune 100 companies • Work directly with the CPO and CTO on every engagement — ZERO layers of bureaucracy • Backed by silicon valley top VCs, with access to their portfolio network and enterprise resources • Early-stage equity with significant upside.