Voice AI Lead Architect Data Architecture - Manchester

Salary: £125,000 - 125,000 per year Requirements: 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. Responsibilities: 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. Technologies: AI Architect BigQuery Cloud CRM Databricks GCP Genesys Machine Learning Snowflake TOGAF About the role 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