AI Architect

Jamefy; Brasil; Remote; BRL 360,000 - 600,000; Full time

Benefits offered by this job

Healthcare benefits

PTO & sick leave

Upskilling & certification courses

LinkedIn Learning access

Global career opportunities

Job summary

EPAM is seeking a highly skilled Forward Deployed Engineer/Conversational AI Architect to engineer and rollout advanced AI platforms. You will bridge cutting-edge Generative AI models with enterprise systems, writing production-grade code and orchestrating multi-agent workflows using Gemini CX and Vertex AI Agent Builder.

The role emphasizes secure cloud data pipelines, state-machine control via Dialogflow CX, and deep integration with enterprise CRMs/ERPs, with a strong focus on security,

Qualifications

• 5+ years of hands-on experience in AI/ML or cloud-native roles.
• 2+ years in senior/lead/manager roles with team scope.
• Proven success managing engagements for teams of 5+ FTEs.
• Deep experience in Google Cloud AI ecosystem: Gemini CX, CCAI, and AAM framework.
• Proficient in conversation engineering (Dialogflow CX, STT/TTS, telephony).
• Strong Python or Node.js coding能力 and cloud library usage.

Responsibilities

• Build and launch autonomous multi-agent systems using Gemini CX and Vertex AI Agent Studio.
• Manage hybrid conversational paths with Dialogflow CX state machines.
• Develop RAG pipelines with Vertex AI Search and grounding to enterprise knowledge bases.
• Create secure backend integrations via Cloud Run/Functions and MCP.
• Enforce security policies with VPC-SC, IAM, and Model Armor constraints.
• Develop telemetry pipelines for analysis with BigQuery and Looker Studio.

Skills

Conversation engineering

Cloud proficiency (GCP)

Python/Node.js

Team leadership

English communication (B2+)

Tools

Gemini CX

Vertex AI

Dialogflow CX

Cloud Run

Cloud Functions

BigQuery

Terraform

Looker Studio

Job description

We're looking for a highly skilled, build\-oriented Forward Deployed Engineer (FDE) / Conversational AI Architect to engineer, assemble, and roll out advanced agentic AI platforms. This position has you functioning as the essential connector between leading\-edge Generative AI models and sophisticated enterprise production systems. The work extends far past architectural planning; you'll produce production\-quality code, manage multi\-agent workflow orchestration via Gemini CX / Vertex AI Agent Builder, oversee deterministic state machines through Dialogflow CX, and develop secure cloud data pipelines leveraging the Advanced Agent Modeling (AAM) framework

Responsibilities

• Build and launch autonomous, outcome\-focused multi\-agent systems leveraging Gemini CX and Vertex AI Agent Studio, advancing customer interactions from basic deflection toward full end\-to\-end resolution
• Manage hybrid conversational pathways by merging generative playbooks with accurate state\-machine oversight within Dialogflow CX, utilizing Pages, Parameters, Conditional Routing, and Transition Routes
• Develop, enhance, and maintain Retrieval\-Augmented Generation (RAG) pipelines using Vertex AI Search, securely grounding agents in unstructured enterprise knowledge repositories
• Create and launch secure backend integrations, connectors, and webhooks through Cloud Run, Cloud Functions, and the Model Context Protocol (MCP), linking conversational systems to enterprise CRMs, ERPs, and internal databases
• Guarantee enterprise\-grade security and regulatory adherence by deploying Model Armor constraints, setting up VPC Service Controls (VPC\-SC), and enforcing strict IAM least\-privilege policies
• Develop telemetry pipelines that transfer raw conversation transcripts from Dialogflow into BigQuery, using CCAI Insights to support large\-scale error\-taxonomy analysis, intent health checks, and containment rate measurement

Requirements

• At least 5 years of relevant hands\-on experience
• Minimum 2 years operating in Senior, Lead, Manager, or Owner\-level positions
• Demonstrated success managing engagements for teams comprising 5\+ full\-time employees
• Substantial, practical experience throughout the Google Cloud AI ecosystem, covering Gemini CX, Google Cloud Contact Center AI (CCAI), and the Advanced Agent Modeling (AAM) framework
• Proven skill in conversation engineering, including Dialogflow CX, Speech\-to\-Text (STT) tuning (phrase hints, audio profiles), Text\-to\-Speech (TTS), and telephony/SIP trunking configuration
• Solid coding ability in Python or Node.js, where experience building custom automation scripts or working with Google Cloud wrapper libraries such as dfcx\-scrapi stands as a strong bonus
• Dependable background with GCP infrastructure and DevOps resources, including Cloud Run, Cloud Functions, BigQuery, Looker Studio, and Infrastructure\-as\-Code practices via Terraform
• Working familiarity with cloud security concepts, data anonymization strategies, and isolating model training boundaries inside enterprise tenant restrictions
• Clear track record shifting generative AI agents from pilot\/MVP status into fully scaled, live deployments reaching millions of users
• Fluent English communication skills at a B2 level or higher

Nice to have

• Holding a Google Cloud Professional Cloud Architect or Professional Data Engineer certification
• Having finished Google Cloud's official Agentic AI on Google Cloud or Gemini Enterprise for Customer Experience (GECX) training paths
• Background rolling out large\-scale customer service solutions in Financial Services, Telecom, Retail, or Healthcare domains

We offer

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000\+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award\-winning culture recognized by Glassdoor, Newsweek and LinkedIn

EPAM 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.