Enterprise Architect Onsite Lead - Agentic IVR Banking

guardrails (data privacy, auditability, explainability).Oversee delivery teams ensuring quality, performance, and resilience .Key SkillsStrong banking domain expertise (retail, lending, payments, contact center)Expertise in Conversational AI / IVR and GCP architectureKnowledge of Agentic AI, RAG, and API-led integrationsExceptional stakeholder engagement and influencing skillsExperience1218+ years in enterprise architecture / solution designProven experience in onsite client-facing roles in banking programsHands-on delivery of IVR / Contact Center / Conversational AI transformationsExperience with large-scale digital transformation in regulated environmentsTrack record of engaging executive stakeholders and driving CX initiativesPreferred QualificationsExperience working with Tier-1 banks or financial institutionsStrong 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 frameworksFamiliarity with AI governance, risk management, and model validation frameworksCertificationsGoogle Cloud Professional Architect (Mandatory/Preferred)Google Professional Machine Learning EngineerCertifications in Conversational AI platforms (Google CES, Dialogflow CX or equivalent)TOGAF / Enterprise Architecture certificationsTPBN1_UKTJ

Job DescriptionRole SummaryWe 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 ResponsibilitiesServe 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