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Solutions Architect

đź•’ September 22

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

đźź  Senior

đź’» Solutions Engineer

Where this job comes from

Posted on Glia's careers page, not through a job board

First seen by Remote Rocketship September 22

Still open on Glia's site. Checked 7 hours ago.

Logo of Glia

Glia

201 - 500 employees

Founded 2012

đź’Ľ Consulting

📦 Logistics

🤖 Artificial Intelligence

đź’° $45M Series D - Glia on 2022-03

Consulting • Logistics • Artificial Intelligence

Glia is an AI-powered customer service platform and ChannelLess® contact center solution that helps banks, credit unions, and financial institutions automate and personalize voice and digital interactions. The company provides virtual assistants, voice AI, agent co-pilots, manager AI analysts, predictive routing, cognitive quality management, and analytics to boost self-service, agent productivity, compliance, and growth metrics (loans, deposits, cost savings). Glia emphasizes security, integrations, and industry-specific features for banking and credit unions, delivering a SaaS platform that replaces legacy CCaaS systems.

đź“‹ Description

• Collaborate with clients to assess business and technical requirements and propose comprehensive solutions • Translate business needs into a clear technical vision and guide execution aligned with client objectives • Develop technical documentation, including statements of work • Lead validation, delivery, and deployment of solutions • Educate and mentor remote teams on solution designs and best practices • Communicate complex technical concepts to technical and non-technical stakeholders

🎯 Requirements

• 5+ years of client-facing development experience, with a strong emphasis on solution architecture and design • Experience or familiarity within banking, financial services, or fintech is required • Proficiency in front-end technologies (HTML, CSS, Javascript) and back-end languages such as Node.js, Python and/or Ruby • Experience with cloud platforms (AWS, Azure, GCP) and understanding of the SaaS lifecycle • Demonstrated ability to work collaboratively with engineering teams during agile development cycles • Excellent problem-solving, written / verbal communication skills, and a proactive approach to addressing client needs • Deeply passionate about creating with AI; continuously build, experiment, and leverage modern AI tools to automate workflows, optimize processes, and turn complex ideas into working systems • Experience in contact centers, telephony / VoIP, financial services, and/or healthcare technology • Familiarity with implementing serverless, AI, big data, and/or other emerging technologies in enterprise technology stacks • Relevant certifications in cloud platforms or solution architecture

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