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Ucaas Solutions Engineer Jobs (NOW HIRING)

Talkdesk

Applied AI Engineer - Americas Partners

$205K - $245K/yr

Solution Demonstration: Lead advanced technical discussions, conduct compelling demonstrations of ... and UCaaS vendors. Strategic Contribution & Communication * Voice of the Partner: Act as the ...

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Ucaas Solutions Engineer information

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$44.5K

$123.3K

$181.5K

How much do ucaas solutions engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for ucaas solutions engineer in the United States is $123,284.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $140,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a UCaaS Solutions Engineer, and why are they important?

To thrive as a UCaaS Solutions Engineer, you need a solid understanding of unified communications technologies, networking, VoIP protocols, and typically a degree in computer science or a related field. Familiarity with platforms like Microsoft Teams, Zoom, Cisco Webex, as well as certifications such as CCNA or CompTIA Network+, are commonly required. Strong problem-solving abilities, clear communication, and customer-focused collaboration are essential soft skills in this role. These skills and qualifications ensure the successful design, deployment, and support of complex UCaaS solutions that meet client needs and business objectives.

What is the difference between Ucaas Solutions Engineer vs Ucaas Support Engineer?

AspectUcaas Solutions EngineerUcaas Support Engineer
CredentialsTechnical certifications, such as CCNA, CCNP, or vendor-specific certificationsBasic technical knowledge, often with certifications like CompTIA A+ or Network+
Work EnvironmentPre-sales, solution design, client consultations, and implementationPost-sales support, troubleshooting, and maintenance
Employer & IndustryTelecommunications, cloud service providers, VoIP companiesTelecommunications, IT service providers, customer support teams

While both roles involve Ucaas (Unified Communications as a Service), the Solutions Engineer focuses on designing and implementing solutions for clients, whereas the Support Engineer handles ongoing support and troubleshooting. The Solutions Engineer typically requires more technical certifications and client-facing skills, while the Support Engineer emphasizes problem-solving and maintenance.

What is a UCaaS Solutions Engineer?

A UCaaS (Unified Communications as a Service) Solutions Engineer is a technical professional responsible for designing, implementing, and supporting cloud-based communication solutions for businesses. They work closely with sales teams and clients to understand communication needs and recommend the right UCaaS products, such as VoIP, video conferencing, and messaging services. Their role often involves technical demonstrations, solution architecture, troubleshooting, and ensuring a seamless integration of unified communications platforms. UCaaS Solutions Engineers must possess a strong understanding of networking, cloud technologies, and customer requirements to deliver optimal solutions.

What are some common challenges UCaaS Solutions Engineers face when implementing unified communications for clients?

UCaaS Solutions Engineers often encounter challenges such as integrating new communication platforms with clients’ existing legacy systems, ensuring seamless interoperability across multiple devices, and addressing unique security or compliance requirements. Additionally, managing user adoption and providing clear technical training can be demanding, especially in organizations with varying levels of tech proficiency. Engineers must also collaborate closely with sales, project management, and support teams to ensure a smooth deployment and ongoing client satisfaction.

AI Solutions Architect - UC, Voice and Data

Sangoma

Atlanta, GA • Remote

Full-time

Medical, Dental, Vision, Retirement

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

AI Solutions Architect - Build it, Scale it, Own it

At Sangoma, we’re embedding AI directly into the core of our UCaaS and CCaaS platforms to create real competitive advantage and real customer impact. We build the technology that keeps businesses connected and power the conversations that drive growth for organizations of every size. We are builders, partners, and problem solvers. We move with purpose, win as a team, and take ownership of results.

We’re looking for an AI Solutions Architect who wants to influence platform direction, not just contribute to a feature backlog. This is a strategic technical role inside Software Engineering where you’ll help define what we build, how we build it, and how it scales. If you’re someone who thinks in systems, challenges assumptions early, and cares deeply about shipping AI that performs in production, this is your seat at the table.

Your Role:
  • Partnering with Product Management to define AI-enabled capabilities that drive real competitive advantage
  • Vetting ideas early to ensure they are technically viable, scalable, and aligned with long-term platform strategy
  • Architecting AI-driven systems that balance performance, latency, accuracy, cost, and operational complexity
  • Designing end-to-end data flows that integrate seamlessly into Sangoma’s UCaaS and CCaaS environments
  • Guiding engineering teams with clear architectural specifications and measurable design principles
  • Ensuring AI components are secure, resilient, observable, and production-ready
  • Participating in design workshops, roadmap discussions, and cross-functional planning sessions

You will help ensure that what we build is not only innovative, but durable, scalable, and aligned with long-term platform evolution.

Requirements

Your Background:
  • 3 plus years of experience in Technical Product Architecture, Systems Design, AI Solutions Engineering, or similar role deploying AI/ML solutions in production
  • Knowledge of UCaaS/ CCaaS domains, real-time communications systems, voice, data and telecom concepts is a must.
  • Strong understanding of modern AI/ML techniques including LLMs, NLP, predictive modeling, speech analytics, agent assist, and automation
  • Demonstrated ability to design complex AI-driven systems and manage trade-offs such as accuracy vs. speed vs. cost
  • Exceptional communication and documentation skills, able to translate complex concepts across technical and non-technical audiences
  • Experience with Product Discovery and early-phase ideation preferred
  • Familiarity with secure model deployment, data governance, and responsible AI practices preferred

Benefits

What We Offer:

  • Extensive Benefit Options (Health, Vision, Dental, Long & Short term Disability) effective after a short waiting period
  • Matching 401K program - 100% match on 4%.
  • Employee Stock Purchase Plan after one year of service.
  • Flexible Time Off & Company Holidays
  • Entrepreneurial work environment partnered with high growth career opportunities

Are you ready to make a direct impact on the company and be rewarded for your performance? Are you ready to take on a new challenge?

Must be authorized to work in the United States on a full-time basis for any employer. No agencies or third-party resumes, please.

Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities.