Senior AI Solutions Architect — Agents, RAG & Deployment

EPAM Systems Inc

México

À distance

MXN 900 000 - 1 800 000

Plein temps

Il y a 2 jours
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Résumé du poste

EPAM Systems Inc in Mexico seeks an experienced AI Solution Architect to drive hands-on design and validation of AI-powered systems, collaborating with technical specialists and business stakeholders to turn AI potential into practical outcomes.

The role focuses on guiding agent development, evaluating RAG approaches, establishing quality benchmarks, and building production-like Python workflows while ensuring robust system integration and clear advisory guidance for cross-functional teams.

Qualifications

  • 8+ years of professional background in AI/solution architecture.
  • 3+ years in senior, lead, manager, or owner-level positions.
  • Direct experience building and refining AI agents (design, rollout, validation).
  • Experience evaluating GenAI solutions and RAG implementations.
  • Strong Python skills for workflow construction and validation.
  • REST API integration across systems and tools.
  • Proficiency in English (C1).
  • Nice to have: AWS Bedrock, Bedrock AgentCore, MuleSoft experience.

Responsabilités

  • Provide hands-on guidance on agent development, model/tool choices, deployment strategies, evaluation methods, and monitoring.
  • Assess RAG/GraphRAG options, chunking, retrieval, re-ranking, and vector-store decisions with the architect.
  • Establish golden datasets, quality benchmarks, and regression tests using controlled data.
  • Build the approved nonproduction agent workflow in Python when feasible, covering tools and a single integration point.
  • Verify success scenarios, errors, and permission-related cases; document quality, cost, gaps.
  • Draft a deployment blueprint and playbooks addressing semantic/context management and autonomy boundaries.
  • Translate AI development methods for business users and engineers; provide walkthroughs and documented examples.

Connaissances

AI agent development
Python
REST APIs
Retrieval-Augmented Generation (RAG)
English proficiency (C1)
Lead / manage teams

Outils

AWS Bedrock
Amazon Bedrock AgentCore
MuleSoft

Description du poste

EPAM Systems Inc in Mexico seeks an experienced AI Solution Architect to drive hands-on design and validation of AI-powered systems, collaborating with technical specialists and business stakeholders to turn AI potential into practical outcomes.

The role focuses on guiding agent development, evaluating RAG approaches, establishing quality benchmarks, and building production-like Python workflows while ensuring robust system integration and clear advisory guidance for cross-functional teams.

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