Senior Solutions Architect

New
A
AdaAI customer service
Remote - CanadaFull-TimeSenior
Salary not disclosed
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Job Details

Experience
6+ years in a customer-facing technical role
Required Skills
PythonJavascriptRESTful APIs

Requirements

  • Have 6+ years in a customer-facing technical role, such as solution architect, sales engineer, integration engineer, or technical consultant, at a SaaS or consulting company.
  • Design technical solutions using REST APIs, webhooks, SDKs, and event-driven patterns.
  • Have experience with OAuth 2.0, JWT, PII handling, scaling, and rate limits.
  • Write technical specifications that engineers can deliver against.
  • Have experience as the technical lead in complex B2B sales cycles alongside account executives and solutions consultants.
  • Work across CRM and contact centre platforms and ramp up quickly on new systems.
  • Have customer-facing technical experience with AI agents or conversational AI platforms.
  • Use Python or JavaScript, AWS cloud services, and coding agents such as Claude Code or Codex to prototype, review solutions, and communicate with engineers.
  • Be comfortable working through ambiguity in a fast-moving environment.
  • Experience with Zendesk, Salesforce, Amazon Connect, Microsoft Dynamics, or Oracle is a plus.
  • Hands-on experience with MCP or AI agent tooling is a strong plus.

Responsibilities

  • Partner with Solutions Consultants on complex deals, owning solution architecture and turning proposed solutions into deliverable plans.
  • Lead technical deep dives with client business and engineering teams, translating business goals into technical requirements and recommendations.
  • Design solutions connecting Ada’s AI Agent to client business systems and data, including CRMs, contact centres, commerce platforms, knowledge bases, and BI tools.
  • Scope bespoke solutions, implement working proofs of concept, and drive them to production with engineers.
  • Advise Customer Success on existing and strategic accounts, identifying technical solutions to improve AI Agent performance.
  • Unblock clients when platform or technology issues threaten a launch.
  • Create reusable patterns and guides from repeat solutions, and provide evidence-backed client needs to the Product team.
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