Principal AI Solutions Architect

Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide. Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves. Principal AI Solutions Architect About The Role Five9 is a leading provider of cloud contact center software, bringing the power of Five9 AI and automation to organizations worldwide. The Enterprise-AI Team drives Five9's internal adoption of AI turning emerging capability into real business outcomes across the company. The Principal AI Solutions Architect is the most senior technical voice on the team and the design authority for Five9's internal AI work the person who turns an approved solution concept into a buildable technical architecture. You partner with the business-facing solutions lead, who owns what a solution must achieve and why; you own how it is built the reference architecture, data and integration design, model / agent / platform selection, security and governance fit, and the technical standards the engineering team builds to. The role demands someone who stays current at all times on the fast-moving AI platform, model, agent, and tooling landscape and on emerging architecture patterns, so every design reflects the best available approach and is sound, secure, and feasible before the build begins. How You Contribute Technical solution design Translate an approved solution concept into an end-to-end technical architecture components, data flows, integration and API surface, model / agent selection, and non-functional requirements captured as a clear, buildable designReference architecture & standards Define and maintain the reusable patterns, guardrails, and technical standards the engineering team builds to; keep them current as capabilities and tooling evolvePlatform & build-vs-buy strategy Evaluate models, vendors, frameworks, and cloud-platform options; recommend fit, cost, and trade-offs with a clear rationaleData & integration design Design how each solution accesses, moves, and secures company and business data; define the integrations and interfaces the build requiresSecurity, governance & responsible-AI fit Design to information-security, data-classification, and responsible-AI requirements from the start; carry designs through architecture and security reviewDesign handoff & build support Package the technical design to a buildable standard and support the engineering team through implementation as their technical counterpartContinuous currency Maintain always-current command of the AI platform, model, agent, and tooling landscape and emerging architecture patterns, so every design reflects the best available approachTechnical advisory Advise business partners, engineers, and leadership on feasibility, risk, effort, and sequencing; pressure-test solution designs for technical soundness before they advanceCross-functional partnership Partner with enterprise architecture, information security, and platform / DevOps teams so designs move cleanly from concept into governed delivery Skills, Competencies & Qualifications Required Bachelor's degree (or equivalent experience) in Computer Science, Engineering, Information Systems, or a related field12+ years in solution / software / enterprise architecture, ML / AI engineering, or technical solutions / pre-sales engineering including hands-on design of production systems and setting technical direction others build toDemonstrated ability to design end-to-end technical architectures for AI / ML or data-intensive systems (components, data flows, integrations, non-functionals, and security)Strong command of the modern AI stack LLMs, agent frameworks, retrieval / RAG, orchestration, tool integration, AI-augmented development with a demonstrated habit of staying continuously currentHands-on experience with cloud platforms (Google Cloud preferred) and modern delivery tooling (Git-based version control, CI / CD, infrastructure-as-code)Ability to produce clear, buildable architecture artifacts (reference diagrams, data / integration designs, architecture decision records) and communicate them to both engineers and executivesWorking knowledge of security, data-classification, and responsible-AI requirements in an enterprise setting Skills, Competencies & Qualifications Preferred Experience in or with contact center / CX technology (Five9 or comparable), or applying AI to CXFamiliarity with responsible-AI, model-risk, and enterprise / solution architecture review practicesExperience defining reusable architecture patterns or platform standards for a delivery teamPrior work at the business / technology boundary in a central enterprise-AI, platform, or transformation .