Voice AI Lead Architect Data Architecture - Banking

Voice AI Lead Architect Data Architecture - Banking

Posted 3 days ago by EUROPEAN SOFTWARE SOLUTIONS (UK) LIMITED

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£500 Per day
Undetermined
Undetermined
Manchester (M12)
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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 / CCAIVertex 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.
  • 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.

Salary (Rate): £500 per day

City: Manchester

Country: United Kingdom

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Role SummaryWe 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 / CCAIVertex 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
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