AI Architect

EPAM Systems Inc; Colombia; A distancia; COP 389.395.000 - 584.093.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits

Paid time off and sick leave

Upskilling and certification courses

Global career opportunities

Descripción de la vacante

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 direct multi-agent workflow coordination using Gemini CX and Vertex AI Agent Builder.

Responsibilities include managing secure data pipelines with MCP, Cloud Run, and BigQuery, applying strict IAM controls, and rolling out Retrieval-Augmented Generation (RAG)

Formación

• 5+ years of relevant practical experience in Conversational AI architecture or equivalent role.

Responsabilidades

• Design, build, and launch agentic AI platforms for enterprise systems.
• Coordinate multi-agent workflows using Gemini CX / Vertex AI Agent Builder.
• Administer state machines via Dialogflow CX and secure backend integrations with Cloud Run/Functions.

Conocimientos

Conversational AI

Gemini CX

Vertex AI

Dialogflow CX

Python/Node.js

GCP DevOps

Security & IAM

Telemetry & BigQuery

Team leadership

Herramientas

Cloud Run

Terraform

BigQuery

Looker Studio

Cloud Functions

Descripción del empleo

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.