Voice AI Lead Architect

Role Summary We are seeking a seasoned Voice AI Lead Architect with strong Data Architecture expertise to lead the design and implementation of next-generation Voice/Agentic AI solutions for a leading banking client on GCP. This role combines conversational AI, data strategy, and customer engagement, acting as a trusted advisor to drive intelligent, data-driven IVR transformation. Key Responsibilitie • sAct as the onsite Voice AI and Data Architecture lead, building strong relationships with banking stakeholders across business, data, and IT teams • .Design and deliver Voice AI / Agentic IVR solutions leveraging • :Google CES/CXAS, Dialogflow CX / CCA • IVertex AI (LLMs, RAG, agent frameworks • )Define and implement enterprise data architecture for Voice AI • :Conversation data pipelines (real-time + batch • )Integration with data lakes, warehouses (BigQuery • )Customer 360 and contextual data enablemen • tBuild RAG-based knowledge systems integrating structured and unstructured banking data • .Architect data-driven decisioning for voice agents (personalization, next-best action, fraud detection signals) • .Ensure integration with core banking, CRM, and analytics platforms • .Establish data governance, lineage, quality, and compliance frameworks (GDPR, PCI-DSS) • .Drive conversation analytics, observability, and feedback loops to continuously improve AI performance . Key Skil • lsStrong expertise in Voice AI / Conversational AI architectu • reDeep knowledge of Data Architecture (data lakes, pipelines, streaming, analytic • s)Experience with GCP data stack (BigQuery, Pub/Sub, Dataflow, Cloud Storag • e)Understanding of RAG, embeddings, and knowledge retrieval framewor • ksStrong stakeholder engagement and consulting skil ls Experie • nce12–18+ years in architecture with focus on data + AI platfo • rmsProven experience in Voice AI / IVR / Contact Center transformation progr • amsHands-on experience designing enterprise data platforms in bank • ingExperience working in regulated financial environme • ntsTrack record of driving data-driven CX transformation initiati ves Preferred Qualificat • ionsExperience with Customer 360, real-time personalization, and behavioral analy • ticsExposure to multi-agent AI architectures and tool invocation framew • orksExperience with CCaaS platforms (Google CES/CXAS, Genesys, NICE, Amazon Conn • ect)Strong understanding of AI/ML lifecycle, MLOps, and data govern • anceExperience working with Tier-1 banks or large financial institut ions Certifica • tionsGoogle Cloud Professional Data Engineer (Highly Prefe • rred)Google Professional Cloud Arch • itectGoogle Machine Learning Eng • ineerCertifications in Conversational AI (Dialogflow CX or equiva • lent)TOGAF / Enterprise Architecture certifica • tionsData certifications (good to have): CDMP, Databricks, Snow flake