We is looking for a Sr. AI Solutions Architect to sit at the intersection of advanced AI and the real world of telecom and contact centers supporting Sales, Customer Operations, Marketing, and Field Services. You’ll blend deep AI/ML and cloud expertise with full‑stack architecture and strategic leadership, setting enterprise patterns and direction, guiding other architects on vertical teams, and turning complex AI into simple, compelling stories for senior and C‑suite leaders. 8+ years in solution architecture, software engineering, or data engineering, with 4+ years delivering production AI/ML or advanced analytics.Background in telecom, cable, broadband, or other high‑volume customer service environments is a strong plus.Experience with contact center data & analytics (voice, chat, IVR, routing, quality/performance metrics) is preferred.Familiarity with CCaaS applications and architectures (e.g., Genesys, Five9, Amazon Connect, NICE, Cisco, or similar) is a plus. Technology‑agnostic mindset with hands‑on experience across major clouds; ability to choose the right platform or technology for the problem, including vendor selection.Practical experience with one or more of: Azure, AWS, Google Cloud Platform, especially their data & AI services.Familiarity with modern data platforms such as Databricks, Snowflake, Redshift, and building pipelines (batch/streaming) using Kafka/Event Hubs or similar.Solid data engineering fundamentals: data modeling, performance tuning, and governance. Proven ability to influence horizontally in a matrixed environment and align multiple vertical architecture teams.Exceptional communication skills: you reduce complex architectures into clear, concise visuals and narratives for senior executives and non‑technical stakeholders.Strategic mindset with the ability to define AI roadmaps and drive cross‑functional execution.
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