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Enterprise Architect

icon building Company : Test Triangle
icon briefcase Job Type : Full Time

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Job Description - Enterprise Architect


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



  • 12–18+ 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

 







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