AI Architect

EPAM Systems; Chile; Remote; CLP 9,000,000 - 16,000,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off and sick leave

Upskilling, reskilling and certs

LinkedIn Learning access

Global career opportunities

Job summary

EPAM Systems Inc. seeks an accomplished Conversational AI Architect to design, build, and launch advanced agentic AI platforms that connect Generative AI models to complex enterprise systems.

You will author production-ready code and coordinate multi-agent workflows via Gemini CX / Vertex AI Agent Builder, while securing data pipelines and regulatory compliance. Expect senior-level responsibilities, hands-on cloud work (GCP), and collaboration across global teams.

Qualifications

• Minimum 5 years of relevant practical experience.
• 2+ years in senior, lead, manager, or owner-level roles.
• Hands-on Google Cloud AI experience with Gemini CX, CCAI, and AAM.
• Strong coding in Python or Node.js with automation scripting.
• Experience with Terraform and Cloud Run/Functions in production.
• Security/compliance in enterprise environments.

Responsibilities

• Design, build, and launch enterprise-grade agentic AI platforms.
• Lead multi-agent coordination via Gemini CX / Vertex AI Agent Builder.
• Implement RAG pipelines and secure backend integrations with CRMs/ERPs.
• Administer hybrid conversational pathways with Dialogflow CX.
• Maintain enterprise security via VPC-SC and IAM least-privilege.
• Establish telemetry using BigQuery and Looker for insights.

Skills

Python

Node.js

Dialogflow CX

Gemini CX

Google Cloud

Terraform

DevOps

English (B2+)

Education

Google Cloud certifications

Bachelor's degree in a related field

Tools

dfcx-scrapi

BigQuery

Looker Studio

Cloud Run

Cloud Functions

Vertex AI

MCP (Model Context Protocol)

Job description

We're seeking an accomplished, implementation-focused Conversational AI Architect to design, build, and launch sophisticated agentic AI platforms. This role positions you as the vital link connecting advanced Generative AI models to complex, production-grade enterprise systems. The responsibilities reach well beyond high-level design work; you'll author production-ready code, direct multi-agent workflow coordination via Gemini CX / Vertex AI Agent Builder, administer deterministic state machines through Dialogflow CX, and construct secure cloud data pipelines using the Advanced Agent Modeling (AAM) frameworkResponsibilitiesAssemble and roll out autonomous, outcome-driven multi-agent systems through Gemini CX and Vertex AI Agent Studio, pushing customer interactions beyond basic deflection toward comprehensive end-to-end resolutionAdminister hybrid conversational pathways by blending generative playbooks with exact state-machine control within Dialogflow CX, applying Pages, Parameters, Conditional Routing, and Transition RoutesConstruct, improve, and maintain Retrieval-Augmented Generation (RAG) pipelines leveraging Vertex AI Search, securely connecting agents to unstructured enterprise knowledge basesDesign and launch secure backend integrations, connectors, and webhooks using Cloud Run, Cloud Functions, and the Model Context Protocol (MCP), bridging conversational systems with enterprise CRMs, ERPs, and internal databasesMaintain enterprise-grade security and regulatory compliance by implementing Model Armor protections, establishing VPC Service Controls (VPC-SC), and applying rigorous IAM least-privilege rulesEstablish telemetry pipelines channeling raw conversation transcripts from Dialogflow into BigQuery, utilizing CCAI Insights to support extensive error-taxonomy evaluation, intent health assessment, and containment rate analysisRequirementsAt least 5 years of relevant practical experienceA minimum of 2 years functioning in Senior, Lead, Manager, or Owner-level rolesProven record overseeing engagements for teams of 5 or more full-time employeesExtensive hands-on background across the Google Cloud AI ecosystem, encompassing Gemini CX, Google Cloud Contact Center AI (CCAI), and the Advanced Agent Modeling (AAM) frameworkDemonstrated expertise in conversation engineering, including Dialogflow CX, Speech-to-Text (STT) tuning (phrase hints, audio profiles), Text-to-Speech (TTS), and telephony/SIP trunking configurationStrong coding proficiency in Python or Node.js, with background developing custom automation scripts or utilizing Google Cloud wrapper libraries such as dfcx-scrapi viewed as a significant advantageConsistent background working with GCP infrastructure and DevOps resources, including Cloud Run, Cloud Functions, BigQuery, Looker Studio, and Infrastructure-as-Code methods via TerraformWorking knowledge of cloud security fundamentals, data anonymization techniques, and maintaining model training isolation within enterprise tenant boundariesClear history transitioning generative AI agents from pilot or MVP phases into fully scaled, live production serving millions of end usersFluent English communication skills at a B2 level or higherNice to haveHolding a Google Cloud Professional Cloud Architect or Professional Data Engineer certificationHaving completed Google Cloud's official Agentic AI on Google Cloud or Gemini Enterprise for Customer Experience (GECX) training tracksBackground implementing large-scale customer service solutions across Financial Services, Telecom, Retail, or Healthcare industriesWe 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 LinkedInEPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.