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Getnet logo
Getnet

Leading fintech in payment solutions across Latin America and Iberia.

AI Platform Architect – Generative AI

Backend EngineerSoftware EngineerFull TimeRemoteSeniorTeam 5,001-10,000H1B No SponsorCompany SiteLinkedIn

Location

Brazil

Posted

74 days ago

Salary

0

Seniority

Senior

Bachelor DegreePortugueseEnglishAzureSDLC

Job Description

AI Platform Architect – Generative AI

Getnet

• Define and lead the architecture of the enterprise Generative AI platform • Build and evolve the strategic roadmap for the AI platform • Design scalable architectures using LLMs, SLMs (Small Language Models), RAG, and multi-agent systems • Implement and optimize fine-tuning strategies for SLMs, including domain adaptation and resource-efficient approaches • Enable self-service AI capabilities for product and engineering teams • Create reusable frameworks, blueprints, and accelerators • Implement CI/CD pipelines for AI solutions • Ensure governance, security, observability, and regulatory compliance • Integrate data, models, agents, and applications in a unified manner • Define standards, best practices, and an AI-specific SDLC (evaluation, testing, and deployment) • Serve as a technical reference and foster cross-functional collaboration • Integrate agent protocols and interoperability: Agent-to-Agent Protocol (A2A), Model Context Protocol (MCP), Agent Payments Protocol (AP2, ACP), Verifiable Intent (VI) • Implement an agent engineering platform for observability, evaluation, and tracing • Develop frameworks for continuous improvement of agent quality • Enable no-code / low-code agents for scaled adoption by business teams

Job Requirements

  • Strong experience with Generative AI, including LLMs, SLMs, and RAG architectures
  • Hands-on experience with model fine-tuning (especially SLMs) and adapting models to specific use cases
  • Proven background in designing and building platforms at scale
  • Experience with Azure AI Foundry
  • Experience with Databricks Agent Bricks
  • Experience defining an AI SDLC (evaluation, monitoring, and deployment)
  • Experience with governance, security, and observability in AI
  • Ability to translate business needs into technical AI solutions
  • Experience in regulated environments (e.g., financial services) is a plus
  • Advanced or fluent English
  • Experience with frameworks such as LangChain, LangGraph, and CrewAI
  • Experience with agent-based (multi-agent) architectures
  • Knowledge of AI cost optimization
  • Experience with advanced observability (monitoring, tracing, and logging)
  • Prior involvement in digital transformation initiatives using AI

Benefits

  • Health insurance
  • Dental insurance
  • Wellhub
  • Birthday day off
  • Life insurance
  • Annual vaccination campaign
  • Transport allowance (VT)
  • Meal and food vouchers (VR/VA)
  • Annual bonus
  • Childcare assistance
  • Christmas bonus
  • Extended maternity and paternity leave
  • Specialized Personal Support Program (PAPE)
  • Ástex platform: free resource to learn a new language (English, Spanish, French, Italian, German, and Portuguese)
  • Access to a learning platform with content from LinkedIn Learning and O'Reilly
  • Option to take personal loans at below-market interest rates

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