Voice AI Lead Architect Data Architecture - Manchester

Salary: £125,000 - 125,000 per year

Requirements:

• We have 12-18 years of experience in architecture with a focus on data and AI platforms.
• We have strong expertise in Voice AI / Conversational AI architecture.
• We have deep knowledge of Data Architecture, including data lakes, pipelines, streaming, and analytics.
• We have experience with the GCP data stack, including BigQuery, Pub/Sub, Dataflow, and Cloud Storage.
• We understand RAG, embeddings, and knowledge retrieval frameworks.
• We have strong stakeholder engagement and consulting skills.
• We have proven experience in Voice AI / IVR / Contact Center transformation programs.
• We have hands-on experience designing enterprise data platforms in banking.
• We have experience working in regulated financial environments.
• We have a track record of driving data-driven customer experience transformation initiatives.
• We have experience with Customer 360, real-time personalization, and behavioral analytics.
• We have exposure to multi-agent AI architectures and tool invocation frameworks.
• We have experience with CCaaS platforms such as Google CES/CXAS, Genesys, NICE, or Amazon Connect.
• We have a strong understanding of AI/ML lifecycle, MLOps, and data governance.
• We have experience working with Tier-1 banks or large financial institutions.
• We hold or are 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:

• We act as the onsite Voice AI and Data Architecture lead and build strong relationships with banking stakeholders across business, data, and IT teams.
• We design and deliver Voice AI / Agentic IVR solutions leveraging Google CES/CXAS, Dialogflow CX / CCAI, Vertex AI, LLMs, RAG, and agent frameworks.
• We define and implement enterprise data architecture for Voice AI, including conversation data pipelines in real time and batch.
• We integrate Voice AI solutions with data lakes and warehouses such as BigQuery.
• We enable Customer 360 and contextual data capabilities.
• We build RAG-based knowledge systems that integrate structured and unstructured banking data.
• We architect data-driven decisioning for voice agents, including personalization, next-best action, and fraud detection signals.
• We ensure integration with core banking, CRM, and analytics platforms.
• We establish data governance, lineage, quality, and compliance frameworks aligned to GDPR and PCI-DSS.
• We 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

More:

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.

last updated 30 week of 2026