Voice AI Lead Architect Data Architecture - Manchester
hace 3 días
Manchester
Salary: £125,000 - 125,000 per year • 12-18 years of experience in architecture with a focus on data and AI platforms., • Strong expertise in Voice AI / Conversational AI architecture., • Deep knowledge of Data Architecture, including data lakes, pipelines, streaming, and analytics., • Experience with the GCP data stack, including BigQuery, Pub/Sub, Dataflow, and Cloud Storage., • Understanding of RAG, embeddings, and knowledge retrieval frameworks., • Strong stakeholder engagement and consulting skills., • Proven experience in Voice AI / IVR / Contact Center transformation programs., • Hands‑on experience designing enterprise data platforms in banking., • Experience working in regulated financial environments., • Track record of driving data‑driven customer experience transformation initiatives., • Experience with Customer 360, real‑time personalization, and behavioral analytics., • Exposure to multi‑agent AI architectures and tool invocation frameworks., • Experience with CCaaS platforms such as Google CES/CXAS, Genesys, NICE, or Amazon Connect., • Strong understanding of AI/ML lifecycle, MLOps, and data governance., • Experience working with Tier‑1 banks or large financial institutions., • Hold or working toward certifications such as Google Cloud Professional Data Engineer, Google Professional Cloud Architect, Google Machine Learning Engineer, Dialogflow CX or equivalent Conversational AI certification, TOGAF / Enterprise Architecture, or data certifications such as CDMP, Databricks, or Snowflake., • Act as the onsite Voice AI and Data Architecture lead and build 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 / CCAI, Vertex AI, LLMs, RAG, and agent frameworks., • Define and implement enterprise data architecture for Voice AI, including conversation data pipelines in real time and batch., • Integrate Voice AI solutions with data lakes and warehouses such as BigQuery., • Enable Customer 360 and contextual data capabilities., • Build RAG‑based knowledge systems that integrate structured and unstructured banking data., • Architect data‑driven decisioning for voice agents, including personalization, next‑best action, and fraud detection signals., • Ensure integration with core banking, CRM, and analytics platforms., • Establish data governance, lineage, quality, and compliance frameworks aligned to GDPR and PCI‑DSS., • Drive conversation analytics, observability, and feedback loops to continuously improve AI performance., • AI, • Architect, • BigQuery, • Cloud, • CRM, • Databricks, • GCP, • Genesys, • Machine Learning, • Snowflake, • TOGAF 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, and positions us as a trusted advisor driving intelligent, data‑driven IVR transformation in a regulated financial environment. #J-18808-Ljbffr