Enterprise AI Delivery Lead

EPAM Systems, Inc.; México; Híbrido; MXN 900.000 - 1.300.000; Jornada completa

Descripción de la vacante

EPAM Systems, Inc. seeks a Technical Delivery Manager AI to lead design, development and deployment of AI and agent-based solutions for enterprise clients.

You will bridge technical design with business needs, define scalable architectures for cloud-native AI apps, and collaborate across engineering, data science, and product teams. You will guide LLM-driven projects, ensure performance, observability and integration with enterprise systems, and align with USA-based stakeholders while promoting

Formación

• 2+ years leading technical design, solution architecture or delivery roles.
• Experience with AI/ML and cloud-based enterprise patterns.
• Proficiency in Python programming.
• Background with AWS or GCP cloud platforms.
• Familiarity with APIs and systems integration.
• Ability to lead cross-functional, agile teams in distributed environments.
• Strong communication and client-facing skills for USA-based stakeholders.

Responsabilidades

• Lead design and deployment of AI and agent-based solutions from discovery to production.
• Define scalable architectures for custom agents and cloud-native AI apps.
• Collaborate with engineers, data scientists, and product stakeholders for technical excellence.
• Translate client requirements into actionable designs and implementation plans.
• Drive architectural decisions for LLM applications including memory and observability.
• Coordinate with delivery and client teams on timelines and risk mitigation.

Conocimientos

Python

AI & ML

Cloud platforms

APIs

Distributed systems

Cross-functional leadership

Client-facing

LLM applications

Herramientas

Google ADK

Vertex AI

AWS Bedrock

AgentCore

Descripción del empleo

EPAM Systems, Inc. seeks a Technical Delivery Manager AI to lead design, development and deployment of AI and agent-based solutions for enterprise clients.

You will bridge technical design with business needs, define scalable architectures for cloud-native AI apps, and collaborate across engineering, data science, and product teams. You will guide LLM-driven projects, ensure performance, observability and integration with enterprise systems, and align with USA-based stakeholders while promoting