Customer Solutions Architect

Requirements → Solution Architecture → Platform Requirements → Delivery | SF Bay Area

ABOUT NEXXA

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.

THE ROLE

We're hiring a customer focused Solutions Architect who sits at the center of customer engagements, product management and engineering execution. You'll take complex, ambiguous customer problems and decompose them into clean system architecture, technical requirements, and executable project plans that the engineering teams can deliver at quality. This is the bridge between what customers need and what engineers build. You'll own the technical truth of every engagement.

WHAT YOU'LL DO

• 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

WHAT WE'RE LOOKING FOR

• 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

NICE TO HAVE

• 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)

WHY NEXXA

• 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.