Chief Python AI Solution Engineer

EPAM Systems; México; A distancia; MXN 1.800.000 - 3.000.000; Jornada completa

Descripción de la vacante

EPAM Systems Inc in Mexico seeks a Chief Python AI Solution Engineer to design an enterprise AI agent platform. You will define multi-agent architecture, governance, and security controls from day one, guiding engineers toward scalable, compliant services.

You will lead design and delivery across Python, FastAPI, Google Agent Development Kit, and Google Cloud Platform, coordinating with architects and product stakeholders to align scope, risks, and timelines.

Formación

• 7+ years of Python software engineering experience on production systems.
• 2+ years of technical leadership guiding engineers and owning architecture decisions.
• Strong solution architecture skills for distributed services and AI platforms.
• Advanced FastAPI expertise for designing and operating reliable APIs.
• Advanced Google Agent Development Kit experience for agent design, tools, and orchestration.
• Strong Google Cloud Platform experience deploying and operating cloud-native workloads.
• Upper-Intermediate English proficiency (B2).

Responsabilidades

• Define multi-agent system architecture and orchestration patterns for specialized AI agents.
• Design agent-to-service communication, tool contracts, and output interfaces.
• Establish governance for LLM routing, safety controls, and cost/token usage limits.
• Architect financial and compliance guardrails, including segregation-of-duties workflows.
• Lead platform integration patterns for action routing, API invocation, and event-driven flows.
• Set engineering standards for coding, testing, API contracts, and schema compliance.
• Mentor engineers through design reviews, code reviews, and delivery planning.
• Coordinate with architects and product stakeholders to align scope, risks, and timelines.

Conocimientos

Python

Leadership

Distributed systems

API design

Cloud architecture

Communication

Herramientas

FastAPI

Google Agent Development Kit

Google Cloud Platform

Docker

Kubernetes

BigQuery

Descripción del empleo

We are seeking a Chief Python AI Solution Engineer to build an enterprise AI agent platform and need you to define the multi-agent architecture, governance, and security controls from day one. You will lead solution design and delivery across Python, FastAPI, Google Agent Development Kit, and Google Cloud Platform while guiding engineers toward scalable, compliant services.ResponsibilitiesDefine multi-agent system architecture and orchestration patterns for specialized AI agentsDesign agent-to-service communication, tool contracts, and structured output interfacesEstablish governance for LLM routing, safety controls, and cost/token usage limitsArchitect financial and compliance guardrails, including segregation-of-duties workflowsLead platform integration patterns for action routing, API invocation, and event-driven flowsSet engineering standards for coding, testing, API contracts, and schema complianceMentor engineers through design reviews, code reviews, and delivery planningCoordinate with architects and product stakeholders to align scope, risks, and timelinesRequirements7+ years of Python software engineering experience on production systems2+ years of technical leadership experience guiding engineers and owning architecture decisionsStrong solution architecture skills for distributed services and AI platformsAdvanced FastAPI expertise for designing and operating reliable APIsAdvanced Google Agent Development Kit experience for agent design, tools, and orchestrationStrong Google Cloud Platform experience deploying and operating cloud-native workloadsStrong communication skills to align stakeholders and translate requirements into designsUpper-Intermediate English proficiency (B2) for collaboration and documentationNice to haveAgentic Automation Engineering experience in enterprise environmentsTechnical Leadership experience leading multi-team deliveryDocker experience for containerized builds and deploymentsGoogle Kubernetes Engine experience operating production workloadsGoogle Cloud BigQuery experience designing analytics-friendly data modelsWe 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.