Senior Solutions Architect (AI Solutions)

Tomorrow.ioBoston, MA
Hybrid

About The Position

Tomorrow.io's Customer Team is seeking a Senior Solutions Architect (AI Solutions) to enhance how solutions are designed for customers and how internal teams operate. This role requires a blend of business priorities, technical architecture, enablement, automation, and applied AI. Approximately half of the role involves customer-facing solution work, partnering with solution engineers to support discovery, validate feasibility, shape solution designs for strategic opportunities, and ensure commitments are realistic and supportable. This individual will act as a senior architecture partner and escalation point, complementing the solution engineer's day-to-day customer technical leadership. The other half of the role is internally focused, concentrating on building tools, automations, reusable assets, technical playbooks, and AI-enabled workflows to improve the speed, quality, and consistency of sales, account management, business development, and governance teams.

Requirements

  • 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 documentation, technical storytelling, executive summaries, and enablement materials.
  • Proven ability to balance innovation with feasibility, ensuring solutions are realistic, supportable, and aligned with delivery capacity.
  • Experience building or supporting internal tools, workflow automations, technical playbooks, customer proposals, proof-of-concepts, or implementation frameworks.
  • Working knowledge of technologies such as Python, SQL, JavaScript, or similar tools used for prototyping, integrations, automation, and data analysis.
  • Comfortable operating in fast-moving environments and ideally familiar with operational intelligence, or industries such as aviation, logistics, supply chain, energy, public sector, or field operations.

Nice To Haves

  • If you have reached this point and you are super excited but not sure you check all the boxes - we still want to speak with you! Your passion is priceless. Other things can be learned.

Responsibilities

  • 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.

Benefits

  • Comprehensive health benefits
  • Unlimited paid time off
  • Other benefits included
  • Relocation assistance may be offered/available for certain roles.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service