AI Solutions Architect – LLM, Multi-Cloud

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Oversee the technical integration of the Anthropic API (Claude) into the IARA platform and the client's AWS infrastructure;

• Create and execute model access abstractions that standardize usage across multi-cloud environments (AWS + Azure or GCP);

• Ensure compatibility among various model providers through centralized governance and traceability;

• Establish technical standards for LLM consumption, including context management, model versioning, and provider fallback;

• Collaborate with security teams to guarantee compliance and governance for model deployment in production;

• Provide technical leadership to the platform roadmap informed by actual operational experience;

• Develop reference architectural documentation and perform technical reviews and knowledge transfers with teams;

⛳️ Requirements

• Demonstrated experience with AI/ML platforms in production (SageMaker, Vertex AI, Azure ML or similar);

• Proficient in cloud computing, with strong AWS skills and operational expertise in at least one other provider;

• Proven history of integrating LLM APIs within enterprise frameworks (Anthropic, OpenAI, Cohere or similar);

• Skilled in Kubernetes, containers, and infrastructure-as-code technologies (Terraform, CDK, or Pulumi);

• Capacity to take ownership at the convergence of data engineering, ML, and infrastructure;

• AWS Solutions Architect Professional, ML Specialty or equivalent certifications in GCP/Azure;

• Experience with agent frameworks in production environments (LangChain, LangGraph, AutoGen);

• Strong MLOps and CI/CD practices for scalable models;

• In-depth knowledge of the Anthropic Claude API, including tools, extended context, and advanced usage patterns;

• Background in banking or financial settings with stringent governance requirements;

🏝️ Benefits

• Competitive salary and performance-based bonuses;

• Comprehensive health and wellness benefits;

• Opportunities for professional development and continuous learning;

• Flexible work arrangements and a supportive work environment;

• Access to cutting-edge technology and tools;