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Glia is the #1 Banking AI platform serving 700+ banks and credit unions. The company provides a Banking AI Operating System that acts as a central intelligence layer on top of existing tech stacks, deploying specialized AI agents to automate workflows across voice and digital channels—from front office to back office. Glia's platform delivers measurable results in operational efficiency, loan growth, deposit acceleration, and competitive positioning against megabanks and fintechs.
As a Solutions Architect, you will be a key technical leader collaborating directly with financial institution clients to design, implement, and deploy AI-powered solutions. You'll assess client business and technical requirements, translate them into comprehensive technical visions, and guide execution to ensure alignment with client objectives. You'll develop detailed technical documentation including statements of work, lead solution validation and deployment phases, and mentor remote teams on solution designs and best practices. A critical part of the role is communicating complex technical and AI concepts effectively to both technical and non-technical stakeholders, helping clients understand how Banking AI can transform their operations.
You'll work at the intersection of banking domain expertise, AI/ML innovation, and enterprise software delivery. This is a high-impact role where you'll directly influence how financial institutions adopt and benefit from AI automation, with the opportunity to shape the future of banking technology.
REQUIREMENTS:
- 5+ years of client-facing development experience with strong emphasis on solution architecture and design
- Experience or familiarity within banking, financial services, or fintech (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 and verbal communication skills, and proactive approach to addressing client needs
- Deep passion for creating with AI—continuously building, experimenting, and leveraging modern AI tools to automate workflows, optimize processes, and turn complex ideas into working systems
BONUS:
- 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
