Voice AI Lead Architect (Data Architecture) - Banking

iBSC
Manchester, United Kingdom
yesterday

Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 130K

Job location

Manchester, United Kingdom

Tech stack

Artificial Intelligence
Business Analytics Applications
Data analysis
Google BigQuery
Cloud Computing
Cloud Storage
Data Architecture
Data Governance
Data Flow Control
Fraud Prevention and Detection
Knowledge-Based Systems
Machine Learning
PCI Data Security Standards
Performance Tuning
Data Streaming
Enterprise Data Management
Core Voice Platform
Amazon Connect
Google Cloud Platform
Chatbots
Genesys
Large Language Models
Snowflake
Multi-Agent Systems
Data Strategy
Togaf
Data Lake
AI Platforms
Data Analytics
Machine Learning Operations
Virtual Agents
Data Pipelines
Databricks

Job description

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 Responsibilities

  • Act 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/CCAI

  • Vertex 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 enablement

Build 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 Skills

  • Strong expertise in Voice AI/Conversational AI architecture
  • Deep knowledge of Data Architecture (data lakes, pipelines, streaming, analytics)
  • Experience with GCP data stack (BigQuery, Pub/Sub, Dataflow, Cloud Storage)
  • Understanding of RAG, embeddings, and knowledge retrieval frameworks
  • Strong stakeholder engagement and consulting skills

Experience

  • 12-18+ years in architecture with focus on data + AI platforms
  • 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 CX transformation initiatives

Preferred Qualifications

  • Experience with Customer 360, Real Time personalization, and behavioral analytics
  • Exposure to multi-agent AI architectures and tool invocation frameworks
  • Experience with CCaaS platforms (Google CES/CXAS, Genesys, NICE, Amazon Connect)
  • Strong understanding of AI/ML lifecycle, MLOps, and data governance
  • Experience working with Tier-1 banks or large financial institutions

Certifications

  • Google Cloud Professional Data Engineer (Highly Preferred)
  • Google Professional Cloud Architect
  • Google Machine Learning Engineer
  • Certifications in Conversational AI (Dialogflow CX or equivalent)
  • TOGAF/Enterprise Architecture certifications
  • Data certifications (good to have): CDMP, Databricks, Snowflake

Requirements

  • Strong expertise in Voice AI/Conversational AI architecture
  • Deep knowledge of Data Architecture (data lakes, pipelines, streaming, analytics)
  • Experience with GCP data stack (BigQuery, Pub/Sub, Dataflow, Cloud Storage)
  • Understanding of RAG, embeddings, and knowledge retrieval frameworks
  • Strong stakeholder engagement and consulting skills

Experience

  • 12-18+ years in architecture with focus on data + AI platforms
  • 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 CX 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 (Google CES/CXAS, Genesys, NICE, Amazon Connect)
  • Strong understanding of AI/ML lifecycle, MLOps, and data governance
  • Experience working with Tier-1 banks or large financial institutions

Certifications

  • Google Cloud Professional Data Engineer (Highly Preferred)
  • Google Professional Cloud Architect
  • Google Machine Learning Engineer
  • Certifications in Conversational AI (Dialogflow CX or equivalent)
  • TOGAF/Enterprise Architecture certifications
  • Data certifications (good to have): CDMP, Databricks, Snowflake

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