AI Platform Architect | IA Generativa

1 week, 2 days ago
Full-time
Lead
DevOps and Infrastructure
Getnet

Getnet

Getnet is a global payment solutions provider and a subsidiary of PagoNxt, part of Santander's financial technology unit. Founded in 2003 in Porto Alegre, Brazil, Getnet has become the second-largest merchant acquirer in Latin America by transaction volume. The company operates in 35 countries, serving 1.3 million active merchants and processing €222 billion in total volume in 2024. Getnet focuses on secure and scalable payment processing, emphasizing innovation in digital payments, including e-commerce and mobile solutions. Getnet offers a wide range of payment processing tools, such as payment gateways, point-of-sale solutions, and e-commerce integration. Their services include real-time fraud management, customer analytics, and subscription billing. The Getnet Digital Platform and Getnet SEP provide unified payment solutions for various online platforms. The company supports a diverse clientele, including international companies, entrepreneurs, SMEs, and large merchants across retail, e-commerce, and services sectors. With over 6,200 payment experts and technological centers in multiple countries, Getnet is dedicated to enhancing payment experiences for businesses of all sizes.

financial services
5001-10000

Description

  • Define and lead the architecture of the corporate generative AI platform.
  • Build and evolve the strategic roadmap for the AI platform.
  • Design scalable architectures using LLMs, SLMs, RAG, and multi-agent systems.
  • Implement and optimize fine-tuning strategies for SLMs for domain-specific use cases.
  • 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 across the platform.
  • Integrate data, models, agents, and applications into a unified ecosystem.
  • Define standards, best practices, and AI-specific SDLC practices for evaluation, testing, and deployment.
  • Act as a technical reference point and drive collaboration across teams.
  • Integrate agent protocols and interoperability standards such as A2A, MCP, and Agent Payments Protocols.
  • Implement an agent engineering platform for observability, evaluation, and tracing.
  • Develop frameworks for continuous improvement in agent quality.
  • Enable no-code and low-code agents for scaled adoption by business teams.

Requirements

  • Strong experience with generative AI, including LLMs, SLMs, and RAG architectures.
  • Hands-on experience fine-tuning models, especially SLMs, and adapting them for specific use cases.
  • Strong background in architecture and building platforms at scale.
  • Experience with Azure AI Foundry.
  • Experience with Databricks Agent Bricks.
  • Experience defining AI SDLC practices for 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, such as financial services, is relevant.
  • Advanced or fluent English.
  • Experience with frameworks such as LangChain, LangGraph, and CrewAI.
  • Experience with multi-agent system architectures.
  • Knowledge of AI cost optimization.
  • Experience with advanced observability, including monitoring, tracing, and logging.
  • Prior involvement in digital transformation initiatives using AI.
  • Experience with Databricks components such as Lakehouse, MLflow, and Model Serving, as a plus.
  • Knowledge of MLOps/ModelOps and data engineering, including pipelines and ETL, as a plus.
  • Experience with Docker, Kubernetes, and Terraform, as a plus.
  • Knowledge of platforms such as AWS Bedrock and Google Vertex AI, as a plus.
  • Experience with SLM compression, distillation, and optimization strategies, as a plus.

Benefits

  • Medical assistance.
  • Dental assistance.
  • Wellhub membership.
  • Birthday day off.
  • Life insurance.
  • Annual vaccination campaign.
  • Transportation voucher (VT).
  • Meal/food voucher (VR/VA).
  • Annual bonus.
  • Childcare assistance.
  • Christmas voucher.
  • Extended maternity and paternity leave.
  • Specialized personal support program (PAPE).
  • Free language-learning platform with English, Spanish, French, Italian, German, and Portuguese.
  • Access to a learning platform connected to LinkedIn Learning and O'Reilly.
  • Option to contract personal loans with lower-than-market interest rates.

Interested in this position?

Apply directly on the company website

Apply Now

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