Voice AI Lead Architect

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 Responsibilitie

• sAct 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 / CCA
• IVertex 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 enablemen
• tBuild 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 Skil

• lsStrong expertise in Voice AI / Conversational AI architectu
• reDeep knowledge of Data Architecture (data lakes, pipelines, streaming, analytic
• s)Experience with GCP data stack (BigQuery, Pub/Sub, Dataflow, Cloud Storag
• e)Understanding of RAG, embeddings, and knowledge retrieval framewor
• ksStrong stakeholder engagement and consulting skil

ls
Experie

• nce12–18+ years in architecture with focus on data + AI platfo
• rmsProven experience in Voice AI / IVR / Contact Center transformation progr
• amsHands-on experience designing enterprise data platforms in bank
• ingExperience working in regulated financial environme
• ntsTrack record of driving data-driven CX transformation initiati

ves
Preferred Qualificat

• ionsExperience with Customer 360, real-time personalization, and behavioral analy
• ticsExposure to multi-agent AI architectures and tool invocation framew
• orksExperience with CCaaS platforms (Google CES/CXAS, Genesys, NICE, Amazon Conn
• ect)Strong understanding of AI/ML lifecycle, MLOps, and data govern
• anceExperience working with Tier-1 banks or large financial institut

ions
Certifica

• tionsGoogle Cloud Professional Data Engineer (Highly Prefe
• rred)Google Professional Cloud Arch
• itectGoogle Machine Learning Eng
• ineerCertifications in Conversational AI (Dialogflow CX or equiva
• lent)TOGAF / Enterprise Architecture certifica
• tionsData certifications (good to have): CDMP, Databricks, Snow