AI Architect

EPAM Systems Inc; Argentina; Remote; ARS 3,200,000 - 5,200,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off and sick leave

Upskilling and certification courses

LinkedIn Learning access

Global career opportunities

Job summary

EPAM Systems Inc. seeks a hands-on Conversational AI Architect to design, build, and deploy advanced agentic AI platforms.

You will bridge GenAI models with enterprise environments, orchestrate multi-agent workflows, and implement secure data pipelines across GCP services such as Gemini CX, Vertex AI, CCAI, and MCP. The role demands leadership in implementing state machines, RAG pipelines, and secure integrations, with a focus on reliability, compliance, and large-scale deployment.

Qualifications

• Minimum 5 years hands-on experience in AI/conversational platforms.
• Led engagements with teams of 5+ and managed client expectations.
• Deep experience across Google Cloud AI, Gemini CX, CCAI, and AAM frameworks.
• Strong conversation engineering skills, including Dialogflow CX and STT/TTS work.
• Proven Python/Node.js programming ability and cloud DevOps practices.

Responsibilities

• Construct and deploy autonomous, multi-agent systems using Gemini CX and Vertex AI Agent Studio.
• Oversee hybrid conversational flows with Dialogflow CX state machines and routing.
• Build and sustain Retrieval-Augmented Generation pipelines via Vertex AI Search.
• Engineer secure back-end integrations, connectors, and webhooks via Cloud Run/Functions.
• Ensure security with IAM, VPC-SC, Model Armor, and enterprise data controls.
• Create telemetry pipelines moving transcripts from Dialogflow into BigQuery and apply CCAI Insights.

Skills

Python

Node.js

Dialogflow CX

Google Cloud

Terraform

DevOps

Tools

Cloud Run

Cloud Functions

BigQuery

Looker Studio

Vertex AI

Gemini CX

dfcx-scrapi

Job description

We're in search of a highly capable, hands-on Conversational AI Architect to design, construct, and deploy cutting-edge agentic AI platforms. In this capacity, you'll act as the critical bridge linking state-of-the-art Generative AI models with complex enterprise production environments. The scope of this work goes well beyond architectural design alone; you'll write production-grade code, coordinate multi-agent workflow orchestration through Gemini CX / Vertex AI Agent Builder, manage deterministic state machines using Dialogflow CX, and build secure cloud data pipelines built on the Advanced Agent Modeling (AAM) frameworkResponsibilitiesConstruct and deploy autonomous, results-driven multi-agent systems using Gemini CX and Vertex AI Agent Studio, elevating customer interactions beyond simple deflection into complete end-to-end resolutionOversee hybrid conversational flows by combining generative playbooks with precise state-machine management inside Dialogflow CX, making use of Pages, Parameters, Conditional Routing, and Transition RoutesBuild, refine, and sustain Retrieval-Augmented Generation (RAG) pipelines through Vertex AI Search, anchoring agents securely to unstructured enterprise knowledge sourcesEngineer and deploy secure backend integrations, connectors, and webhooks via Cloud Run, Cloud Functions, and the Model Context Protocol (MCP), tying conversational platforms into enterprise CRMs, ERPs, and internal data systemsEnsure enterprise-level security and compliance by implementing Model Armor safeguards, configuring VPC Service Controls (VPC-SC), and applying strict IAM least-privilege standardsBuild out telemetry pipelines moving raw conversation transcripts from Dialogflow into BigQuery, applying CCAI Insights to enable large-scale error-taxonomy review, intent health monitoring, and containment rate trackingRequirementsBuild, refine, and sustain Retrieval-Augmented Generation (RAG) pipelines through Vertex AI Search, anchoring agents securely to unstructured enterprise knowledge sourcesEngineer and deploy secure backend integrations, connectors, and webhooks via Cloud Run, Cloud Functions, and the Model Context Protocol (MCP), tying conversational platforms into enterprise CRMs, ERPs, and internal data systemsEnsure enterprise-level security and compliance by implementing Model Armor safeguards, configuring VPC Service Controls (VPC-SC), and applying strict IAM least-privilege standardsBuild out telemetry pipelines moving raw conversation transcripts from Dialogflow into BigQuery, applying CCAI Insights to enable large-scale error-taxonomy review, intent health monitoring, and containment rate trackingRequirementsA minimum of 5 years of applicable hands-on backgroundAt least 2 years spent in Senior, Lead, Manager, or Owner-level capacitiesDemonstrated history successfully managing engagements involving teams of 5 or more full-time staffDeep, practical experience spanning the Google Cloud AI ecosystem, including Gemini CX, Google Cloud Contact Center AI (CCAI), and the Advanced Agent Modeling (AAM) frameworkStrong capability in conversation engineering, covering Dialogflow CX, Speech-to-Text (STT) tuning (phrase hints, audio profiles), Text-to-Speech (TTS), and telephony/SIP trunking setupSolid programming skill in Python or Node.js, with experience building custom automation tooling or working with Google Cloud wrapper libraries such as dfcx-scrapi considered a strong plusReliable background working with GCP infrastructure and DevOps tooling, including Cloud Run, Cloud Functions, BigQuery, Looker Studio, and Infrastructure-as-Code practices through TerraformFamiliarity with cloud security principles, data anonymization approaches, and maintaining model training boundaries within enterprise tenant constraintsDemonstrated history guiding generative AI agents from pilot or MVP stages through to full-scale, live deployment serving millions of usersFluent English communication skills at a B2 level or higherNice to havePossession of a Google Cloud Professional Cloud Architect or Professional Data Engineer certificationCompletion of Google Cloud's official Agentic AI on Google Cloud or Gemini Enterprise for Customer Experience (GECX) training programsBackground deploying large-scale customer service solutions within Financial Services, Telecom, Retail, or Healthcare sectorsWe offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn