Enterprise Architect Onsite Lead - Agentic IVR Banking

Role Summary We are seeking an experienced Enterprise Architect Onsite Lead to drive a strategic Agentic IVR transformation program for a leading banking client on GCP . This role combines deep architectural expertise with strong customer relationship management , acting as a trusted advisor to senior business and technology stakeholders.

Key Responsibilities Serve as the primary onsite liaison for banking stakeholders, building strong, trust-based relationships across business, operations, and IT. Lead Agentic IVR architecture design using GCP (CXAS, Dialogflow CX, ADK, Vertex AI, Apigee) for banking use cases such as customer servicing, fraud checks, payments, and loan inquiries. Translate business goals into secure, compliant, and scalable AI-driven conversational solutions . Drive CX transformation and automation strategy aligned with regulatory requirements.

Ensure seamless integration with core banking systems, and CCaaS platforms . Establish governance, compliance, and AI guardrails (data privacy, auditability, explainability). Oversee delivery teams ensuring quality, performance, and resilience . Key Skills Strong banking domain expertise (retail, lending, payments, contact center) Expertise in Conversational AI / IVR and GCP architecture Knowledge of Agentic AI, RAG, and API-led integrations Exceptional stakeholder engagement and influencing skills Experience 1218 years in enterprise architecture / solution design Proven experience in onsite client-facing roles in banking programs Hands-on delivery of IVR / Contact Center / Conversational AI transformations

Experience with large-scale digital transformation in regulated environments Track record of engaging executive stakeholders and driving CX initiatives

Preferred Qualifications Experience working with Tier-1 banks or financial institutions Strong understanding of banking regulations (e.g., data privacy, PCI-DSS, GDPR equivalents) Exposure to CCaaS platforms (Google CXAS/CES, Genesys, NICE, Amazon Connect) Experience in multi-agent orchestration / agentic frameworks Familiarity with AI governance, risk management, and model validation frameworks Certifications Google Cloud Professional Architect (Mandatory/Preferred) Google Professional Machine Learning Engineer Certifications in Conversational AI platforms (Google CES, Dialogflow CX or equivalent) TOGAF / Enterprise Architecture certifications