Senior Solutions Architect designing integrations between Ada’s AI agents and enterprise systems. Advising clients and deal teams from pre-sales through production launch.
Responsibilities
Partner with Solutions Consultants on complex deals, owning solution architecture and turning possible solutions into deliverable implementations
Lead technical deep dives with client business and engineering teams
Translate business goals into technical requirements and recommend appropriate approaches
Design technical solutions connecting Ada’s AI Agent to client systems and data, including CRMs, contact centres, commerce platforms, knowledge bases and BI tools
Use Ada’s APIs, SDKs and MCP
Design and scope bespoke solutions and implement working proofs of concept
Drive solutions to production with engineers
Advise Customer Success on existing and strategic accounts
Identify technical solutions that improve clients’ AI Agent performance
Shape feasible technical approaches for pre-sales deals
Unblock clients when platform or technology issues threaten launches
Provide technical options to improve automated resolution rates
Create reusable solution patterns and guides
Bring recurring client needs to the Product team as evidence-backed input
Become the go-to expert on Ada integrations and independently lead pre-sales and client technical conversations within the first 90 days
Requirements
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
Experience designing technical solutions across REST APIs, webhooks, SDKs and event-driven patterns
Experience with OAuth 2.0, JWT, PII handling, design for scale and rate limits, and writing specifications engineers can deliver against
Experience as the technical lead in complex B2B sales cycles
Excellent communication with business and engineering stakeholders
Experience working across CRM and contact centre platforms
Experience working with AI agents or conversational AI platforms in a customer-facing technical role
Hands-on experience with Python or JavaScript, AWS, and coding agents such as Claude Code or Codex
Technically curious and resourceful, comfortable with 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
Benefits
Unlimited Vacation
Comprehensive Benefits: Extended health coverage, dental, vision, travel, and life insurance
Wellness Account
Employee & Family Assistance Plan
Flexible Work Schedule
Remote-First, In-Person Friendly: Options to work from home or at our local hub
Learning & Development Budget
Work from Home Budget
Access to Cutting-Edge AI Tools
Hands-On with LLMs
Benefits and perks apply to full-time, permanent employees
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