Senior Solutions Architect (AI Solutions)

Tomorrow.io's Customer Team makes it possible for weather-sensitive industries — including aviation, logistics, supply chain, public sector, energy, and field operations — to operate faster than the speed of weather. We're looking for a Senior Solution Architect (AI Solutions), to help strengthen both how we design solutions for customers and how our own teams operate internally. This is a role for someone who can bridge business priorities, technical architecture, enablement, automation, and applied AI. Roughly half of the role is focused on customer-facing solution work: partnering closely with solution engineers to support discovery, validate feasibility against commitments, shape solution designs for strategic or complex opportunities, and help ensure what we commit to is thoughtful, realistic, and supportable. This person does not replace the solution engineer as the day-to-day technical lead with customers, but works alongside them as a senior architecture partner and escalation point when deeper design or technical judgment is required. The other half is focused internally: building tools, automations, reusable assets, technical playbooks, and AI-enabled workflows that help sales, account management, business development, and governance-related teams work faster, better, and with more consistency. What You’ll Do: Partner with Solution Engineers on strategic and complex customer opportunities to shape scalable, supportable solution designs while maintaining strong alignment between customer commitments and technical feasibility. Design end-to-end customer solutions including integrations, APIs, automation workflows, AI-enabled processes, data flows, and phased implementation approaches. Provide senior technical oversight and architectural guidance on high-impact or non-standard deals, helping teams navigate tradeoffs, risks, and implementation realities. Create architecture diagrams, technical documentation, implementation guidance, and executive-ready materials to support customer engagements and internal decision-making. Build internal tools, automations, reusable templates, accelerators, and AI-driven workflows that improve operational efficiency across sales, account management, business development, and governance teams. Identify workflow friction points and develop practical solutions through automation, improved processes, reusable assets, and lightweight applications. Establish reusable solution patterns, architecture standards, playbooks, and implementation frameworks that improve consistency and scalability across teams. Collaborate with Product and Engineering to surface recurring customer needs, operational inefficiencies, and product gaps that should influence roadmap priorities. Improve execution quality across customer and internal operations by balancing technical ambition with delivery realism, long-term supportability, and scalability. Enable teams to move faster and operate more effectively through stronger technical guidance, repeatable best practices, and AI-enhanced workflows. What You Bring: 5+ years of experience in Enterprise SaaS solution architecture, solutions engineering, technical consulting, enterprise implementation, automation development, or related roles combining technical depth with business enablement. Strong expertise designing solutions involving APIs, integrations, cloud platforms, distributed systems, automation, data pipelines, and multi-system workflows. Experience translating ambiguous business or customer requirements into practical technical architectures, implementation plans, and scalable solutions. Ability to partner cross-functionally with sales, solution engineering, account management, governance, product, engineering, and post-sales teams. Hands-on familiarity with AI technologies, LLM workflows, agentic systems, prompt orchestration, or AI-powered productivity and automation use cases. Strong written and verbal communication skills, including architecture documentati