AI Solutions Architect

Primary Skills (Core Requirements):AI/ML & GenAI ExpertiseMachine learning, NLP, deep learning, agentic AI frameworksDesigning GenAI solutions (RAG, copilots, conversational AI)Solution Architecture (End-to-End)Designing scalable architectures across data, APIs, and UIMicroservices, event-driven, and cloud-native systemsCloud & Data PlatformsAzure, AWS, GCPDatabricks, Snowflake, Kafka, modern data pipelinesProgramming & EngineeringPython, .NET, Java, SQLAPIs, distributed systems, containers (Docker/Kubernetes)AI Strategy & Enterprise LeadershipDefining AI roadmaps and architecture standardsDriving cross-functional alignment and decision-makingSecondary Skills (Supporting / Nice-to-Have):Contact Center & Telecom DomainCCaaS platforms (Genesys, NICE, Amazon Connect, etc.)Voice, chat, IVR analytics and operationsAdvanced AI Use CasesNext Best Action (NBA), Next Best Offer (NBO)Personalization, agent assistance, automationData Governance & Responsible AIData modeling, KPIs, compliance (PII/PCI)Model monitoring, fairness, explainabilityAgile & Delivery CollaborationWorking with PMO/Product teamsTranslating architecture into epics and user storiesExecutive CommunicationSimplifying complex AI concepts for leadershipStakeholder influence and storytelling