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# Senior Solutions Architect

Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.

[Apply for this job](#job-application)[View company](https://jobicy.com/company/ada.md)ShareRemote from[Canada](https://jobicy.com/job-region/canada.md)SalaryUndisclosedDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceSeniorPublished22 Oct 2026Apply before21 Nov 2026Listing views49Application actions3Application toolkit

## Make your next move.

Prepare your resume, explore your fit, and draft a cover letter for this opportunity.

AI Summary

## The role, at a glance.

Ada is hiring a Senior Solutions Architect to design and scope bespoke integrations for its AI customer-service platform. The role partners with Solutions Consultants, account teams, Customer Success, client engineers, and internal product and engineering teams across pre-sales and post-launch work. Responsibilities include defining scalable architectures, building proof-of-concepts, producing implementation specifications, and turning reusable integration patterns into production solutions. The ideal candidate combines enterprise SaaS consulting experience with strong API, cloud, security, conversational AI, and stakeholder-management capabilities.

## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

5/5EasyHard

### Pace & Pressure

5/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThis is a senior, client-facing architecture role requiring ownership of complex enterprise solutions from technical discovery through production delivery. It demands deep integration expertise as well as the ability to influence commercial, customer-success, and engineering stakeholders in a fast-moving AI environment.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Highly competitive$165,000US market range (per year)$140k–$190k0$209.00k

AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer salary was disclosed. Estimated annual market compensation is shown in USD for a senior solutions architect with enterprise SaaS, integrations, cloud, and AI-agent expertise; the annual cadence is inferred from this full-time senior professional role.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Solution architecture](https://jobicy.com/jobs?search_keywords=Solution%20architecture.md)[Enterprise SaaS](https://jobicy.com/jobs?search_keywords=Enterprise%20SaaS.md)[REST APIs](https://jobicy.com/jobs?search_keywords=REST%20APIs.md)[Webhooks](https://jobicy.com/jobs?search_keywords=Webhooks.md)[OAuth 2.0](https://jobicy.com/jobs?search_keywords=OAuth%202.0.md)[JWT](https://jobicy.com/jobs?search_keywords=JWT.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[JavaScript](https://jobicy.com/jobs?search_keywords=JavaScript.md)[AWS](https://jobicy.com/jobs?search_keywords=AWS.md)[System integration](https://jobicy.com/jobs?search_keywords=System%20integration.md)[Conversational AI](https://jobicy.com/jobs?search_keywords=Conversational%20AI.md)[AI agents](https://jobicy.com/jobs?search_keywords=AI%20agents.md)[Technical discovery](https://jobicy.com/jobs?search_keywords=Technical%20discovery.md)[Proof of concept](https://jobicy.com/jobs?search_keywords=Proof%20of%20concept.md)[Stakeholder management](https://jobicy.com/jobs?search_keywords=Stakeholder%20management.md)

Sample interview questionsHow would you approach designing an integration between Ada’s AI Agent and a client’s CRM and contact-centre platform?I would begin with discovery of the customer journeys, business outcomes, systems of record, and escalation paths. I would map data flows, APIs, authentication, PII requirements, rate limits, and failure handling, then document an architecture with clear ownership and acceptance criteria. I would validate key assumptions with a focused proof of concept before creating production specifications and rollout plans.

Describe how you balance a customer request for a bespoke integration with the need to maintain a scalable product implementation.

I first clarify the underlying business outcome and identify whether an existing capability, configuration, or reusable integration pattern can meet it. If custom work is necessary, I define a narrow, maintainable solution with explicit operational boundaries and assess whether the pattern should become reusable. This approach protects delivery timelines while ensuring the client receives a solution that is supportable after launch.

What security and privacy considerations are important when integrating an AI customer-service platform with enterprise systems?

I would apply least-privilege access, secure OAuth 2.0 or signed-token flows, secret management, encryption in transit, and appropriate token rotation. I would minimize PII exposure, document data retention and redaction requirements, establish auditability, and validate that error logs do not leak sensitive data. I would also align the design with the client’s security review process and relevant compliance obligations.

How do you handle a technical issue that threatens a customer launch during a complex sales or implementation cycle?

I quickly establish the facts, impact, dependencies, and accountable owners, then communicate a concise status and recovery plan to both technical and business stakeholders. I prioritize a safe workaround or reduced-scope launch where appropriate, while maintaining transparency about risks and timelines. After resolution, I document the root cause and convert the learning into a reusable implementation guide or product recommendation.

Give an example of how you would use a proof of concept to de-risk an AI-agent solution.

I would select the highest-risk workflow, such as authenticated order lookup or a CRM-driven support action, and define measurable success criteria before building. The POC would validate API access, data quality, authentication, response latency, error handling, and the AI agent’s ability to execute the intended conversation flow. Results would inform the production architecture, delivery estimate, and any required product or client-system changes.

Opportunity details

## About this role.

### About Us

Ada is an AI customer service company whose mission is to make customer service extraordinary for everyone. We’re driven to raise a new standard of quality customer service at scale, enabling enterprise companies to deliver experiences that people love–instant, proactive, personalized, and effortless.

Ada is an AI transformation platform and partner—combining strategic expertise with powerful AI agent management technology to accelerate businesses’ AI maturity to keep them ahead of the curve. With Ada, 83% of customer conversations—and counting—are effortlessly resolved through automation, giving teams more time back, companies more resources to focus on growth, and customers more life to focus on what matters most to them.

Established in 2016, Ada is a Canadian company that has powered over 5.5 billion interactions for leading brands like Square, YETI, IPSY, and [Monday.com](http://monday.com/), saving millions of hours of human effort. Backed with over $250M in funding from tier-one investors including Accel, Bessemer, FirstMark, Spark, and Version One Ventures, Ada is a pioneer in the management and application of AI in customer service.

At Ada, we see growth as a reflection of each individual owner’s personal growth. That’s why our values are rooted in driving progress and continuous improvement. If you’re ambitious and eager to grow, Ada could be the place for you.

Learn more at [www.ada.cx](http://www.ada.cx).

### About The Role

The Solutions team designs the integrations and bespoke solutions that extend Ada’s AI Agent to our clients’ business systems. We’re looking for a Senior Solution Architect to be the trusted technical advisor to our clients and deal teams, from pre-sales to long after launch. You’ll take a holistic view of each client’s business and technical landscape and shape the right solution, raising their AI Agent’s automated resolution rate at a company defining how enterprises adopt AI agents for customer service.

As a Senior Solution Architect you will:

* Partner with Solutions Consultants on complex deals beyond out of the box, owning the solution architecture and turning the art of the possible into something deliverable.
* Lead technical deep dives with client business and engineering teams, translating business goals into clear technical requirements and recommending the right approach.
* Own the design of technical solutions that connect Ada’s AI Agent to clients’ business systems and data, such as CRMs, contact centres, commerce platforms, knowledge bases and BI tools, using Ada’s APIs, SDKs and MCP.
* Design and scope bespoke solutions, implement working POCs, then drive them to production with our engineers.
* Serve as the technical advisor to Customer Success on existing and strategic accounts, identifying where technical solutions can improve a client’s AI Agent performance.

### About You

* 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, including auth (OAuth 2.0, JWT), PII handling and design for scale and rate limits, and writing specs engineers deliver against.
* Experience as the technical lead in complex B2B sales cycles, alongside account executives and solutions consultants.
* Excellent communicator with business and engineering stakeholders: you anticipate needs, follow through, set clear expectations, and know when guidance beats a custom build, while keeping relationships strong.
* Experience working across CRM and contact centre platforms, and the ability to ramp up quickly on new systems.
* Experience working with AI agents or conversational AI platforms in a customer-facing technical role.
* Hands-on enough with code (Python or JavaScript), cloud services (AWS), and coding agents (Claude Code or Codex) to prototype, review solutions and communicate with engineers.
* 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 with MCP or AI agent tooling is a strong plus.

### Outcomes

* Shape pre-sales deals with a feasible technical approach, so what’s sold is what our clients can launch.
* Unblock clients when a platform or technology issue threatens a launch, before it becomes an account risk.
* Give Customer Success the technical options that help existing clients raise their automated resolution rate.
* Take bespoke solutions from scope to production with our engineers, with specs they can build against.
* Provide clients and account teams fast, confident technical answers, so deals and launches don’t stall on a technical question.
* Turn repeat solutions into reusable patterns and guides, so every new client moves faster.
* Bring recurring client needs to our Product team as clear, evidence-backed input.
* First 90 days: become the go-to expert on a set of Ada’s integrations, and lead pre-sales and client technical conversations on your own.

#LI-NS1

### Benefits & Perks

At Ada, you’ll not only build extraordinary products but also thrive in an environment designed for your success. We prioritize your well-being, growth, and work-life balance. Here’s what we offer:

### Benefits

*   Unlimited Vacation: Recharge when you need to.
*   Comprehensive Benefits: Extended health coverage, dental, vision, travel, and life insurance.
*   Wellness Account: Empowering you to invest in your overall well-being and lifestyle.
*   Employee & Family Assistance Plan: Resources to support you and your loved ones.

### Perks

*   Flexible Work Schedule: Balance your work and personal life.
*   Remote-First, In-Person Friendly: Options to work from home or at our local hub.
*   Learning & Development Budget: Invest in your long-term growth goals and skills.
*   Work from Home Budget: Equipping you with the tools and support for a seamless remote work experience.
*   Access to Cutting-Edge AI Tools: Work with the best AI tech stack in the industry.
*   Hands-On with LLMs: Enhance your expertise in leveraging large language models.
*   A Thriving Industry: Join the forefront of innovation in AI, shaping the future of technology.

The above Benefits and Perks only apply to full-time, permanent employees.

As part of our recruitment process, we may use AI enabled tools to support certain aspects of hiring, such as interview note-taking. All hiring decisions are made by our team.

Thank you for your interest in joining us at Ada. Due to the high volume of applications, we will only contact candidates whose qualifications match closely to the requirements of the position. We appreciate the time you have invested in learning more about us.

Show more

[Apply now >](https://jobicy.com/jobs/156331-senior-solutions-architect.md)

>  Annual salary information is not provided for this position. Explore salary ranges for similar roles in our [Salary Directory ›](https://jobicy.com/salaries.md)

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