Conversational AI Architect - Google Cloud Gemini CX

EPAM Systems; Pune District; On-site; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Health benefits

Retirement benefits

Paid time off

Flexible benefits

Training opportunities

Job summary

EPAM Systems in India is hiring a Conversational AI Architect to design, build and scale enterprise-grade AI agents on Google Cloud. You will lead engineering efforts across Gemini CX, Dialogflow CX and Vertex AI, delivering secure, high-volume production systems with robust integrations and governance.

You will mentor teams, implement RAG and grounding pipelines, and ensure compliance and security while collaborating with multi-national stakeholders on complex enterprise projects.

Qualifications

• 12-20 years of overall experience in IT.
• Expertise in Gemini CX, Google Cloud CCAI, Vertex AI Agent Studio and the Advanced Agent Modeling (AAM) framework.
• Proven experience designing and deploying agentic and conversational AI systems, including goal-oriented agents, multi-agent workflows and enterprise-scale customer interaction solutions.
• Expertise in Dialogflow CX, including pages, parameters, conditional routing, transition routes, Speech-to-Text tuning, Text-to-Speech and telephony/SIP configurations.
• Experience building Retrieval-Augmented Generation (RAG) solutions using Vertex AI Search and grounding AI agents securely with enterprise knowledge sources.
• Proficiency in Python or Node.js, with hands-on development of APIs, webhooks, connectors and backend integrations using Cloud Run and Cloud Functions.
• Knowledge of GCP infrastructure, BigQuery, Looker Studio, Terraform, IAM, VPC Service Controls, Model Armor, cloud security, data anonymization and enterprise security controls.
• Proven experience moving generative AI agents from pilot/MVP stages into secure, scalable and high-volume production environments.
• Nice to have Google Cloud Professional Cloud Architect or Professional Data Engineer certification.
• Completion of Google Cloud Agentic AI or Gemini Enterprise for Customer Experience (GECX) learning paths, and experience with automation libraries such as dfcx-scrapi.
• Experience delivering high-volume customer service solutions in Financial Services, Telecom, Retail or Healthcare environments.

Responsibilities

• Design and deploy enterprise-grade agentic AI and conversational AI solutions using Gemini CX, Vertex AI Agent Studio, Dialogflow CX and supporting Google Cloud AI services
• Orchestrate hybrid conversational workflows by combining generative playbooks and autonomous agent behaviors with deterministic Dialogflow CX state-machine controls
• Build and optimize RAG pipelines using Vertex AI Search to securely ground agents in enterprise documents, knowledge repositories and business data
• Develop secure backend integrations, connectors and webhooks using Cloud Run, Cloud Functions and Model Context Protocol (MCP) to integrate CRM, ERP and internal enterprise systems
• Implement security and compliance guardrails using Model Armor, VPC Service Controls, IAM least-privilege policies and appropriate data isolation controls
• Build conversation telemetry and analytics pipelines using BigQuery and CCAI Insights for error-taxonomy analysis, intent health, containment reporting and operational improvement
• Provide hands-on engineering leadership, write production-grade code, troubleshoot complex platform issues and guide solutions through production deployment and scale

Skills

Gemini CX

Dialogflow CX

Vertex AI

Python

Node.js

Cloud Run

Cloud Functions

Looker Studio

Terraform

IAM/VPC controls

Tools

MCP (Model Context Protocol)

Job description

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.We are seeking a Conversational AI Architect to design, build and scale enterprise-grade conversational and agentic AI solutions on Google Cloud. This role combines deep technical expertise in Gemini CX, Dialogflow CX and Vertex AI with hands-on engineering leadership to move generative AI agents from pilot to secure, high-volume production environments.ResponsibilitiesDesign and deploy enterprise-grade agentic AI and conversational AI solutions using Gemini CX, Vertex AI Agent Studio, Dialogflow CX and supporting Google Cloud AI servicesOrchestrate hybrid conversational workflows by combining generative playbooks and autonomous agent behaviors with deterministic Dialogflow CX state-machine controlsBuild and optimize RAG pipelines using Vertex AI Search to securely ground agents in enterprise documents, knowledge repositories and business dataDevelop secure backend integrations, connectors and webhooks using Cloud Run, Cloud Functions and Model Context Protocol (MCP) to integrate CRM, ERP and internal enterprise systemsImplement security and compliance guardrails using Model Armor, VPC Service Controls, IAM least-privilege policies and appropriate data isolation controlsBuild conversation telemetry and analytics pipelines using BigQuery and CCAI Insights for error-taxonomy analysis, intent health, containment reporting and operational improvementProvide hands-on engineering leadership, write production-grade code, troubleshoot complex platform issues and guide solutions through production deployment and scaleRequirements12-20 years of overall experience in ITExpertise in Gemini CX, Google Cloud Contact Center AI (CCAI), Vertex AI Agent Studio and the Advanced Agent Modeling (AAM) frameworkProven experience designing and deploying agentic and conversational AI systems, including goal-oriented agents, multi-agent workflows and enterprise-scale customer interaction solutionsExpertise in Dialogflow CX, including pages, parameters, conditional routing, transition routes, Speech-to-Text tuning, Text-to-Speech and telephony/SIP configurationsExperience building Retrieval-Augmented Generation (RAG) solutions using Vertex AI Search and grounding AI agents securely with enterprise knowledge sourcesProficiency in Python or Node.js, with hands-on development of APIs, webhooks, connectors and backend integrations using Cloud Run and Cloud FunctionsKnowledge of GCP infrastructure, BigQuery, Looker Studio, Terraform, IAM, VPC Service Controls, Model Armor, cloud security, data anonymization and enterprise security controlsProven experience moving generative AI agents from pilot/MVP stages into secure, scalable and high-volume production environmentsNice to haveGoogle Cloud Professional Cloud Architect or Professional Data Engineer certificationCompletion of Google Cloud Agentic AI or Gemini Enterprise for Customer Experience (GECX) learning paths, and experience with automation libraries such as dfcx-scrapiExperience delivering high-volume customer service solutions in Financial Services, Telecom, Retail or Healthcare environmentsWe offerOpportunity to work on technical challenges that may impact across geographiesVast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certificationsOpportunity to share your ideas on international platformsSponsored Tech Talks & HackathonsUnlimited access to LinkedIn learning solutionsPossibility to relocate to any EPAM office for short and long-term projectsFocused individual developmentBenefit package:Health benefitsRetirement benefitsPaid time offFlexible benefitsForums to explore beyond work passion (CSR, photography, painting, sports, etc.)