AI Engineering Lead, Solutions Architecture, Expert

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

📋 Description

• Oversee the development and architectural design of Artificial Intelligence solutions.

• Convert business requirements into scalable and secure systems.

• Create logical and physical architectures for cognitive, conversational, autonomous, and multi-agent systems utilizing Google ADK and Vertex AI Agent Engine.

• Build agentic microservices, RAG strategies, and facilitate integrations with the bank’s core systems.

• Organize deterministic workflows using ADK, in-memory state management, and logical routing.

• Generate architectural diagrams adhering to the C4 Model (Levels 1 and 2).

• Design and spearhead the development of connectors via the Model Context Protocol (MCP), integrating GitLab, Kanbanize, and Dataplex.

• Guarantee decoupling and high resilience through event-driven architectures employing Google Cloud Pub/Sub.

• Implement Human-in-the-Loop controls for necessary validation of critical actions.

• Ensure explainability, governance, and compliance with internal AI policies.

• Define and oversee evaluations and regression tests with DeepEvals prior to deployments.

• Enhance AI inference costs via caching, prompt tuning, and efficient resource allocation.

• Establish end-to-end monitoring with structured logs, Dynatrace, and integrated telemetry.

⛳️ Requirements

• Extensive experience with Python 3.13+, the uv package manager, and Google ADK (versions 2.4.x and 1.24.1).

• Proficiency in developing code-first solutions for generative AI.

• Familiarity with Vertex AI (Agent Builder, Agent Engine, Reasoning Engine, Model Registry, and Model Monitoring).

• Experience with Gemini Pro and Flash models.

• Advanced understanding of RAG, embeddings, chunking, metadata, and Vertex AI Vector Search.

• Experience with Cloud Storage (GCS), Cloud SQL (PostgreSQL and MySQL), Firestore, and MongoDB Atlas.

• Competence in environment provisioning through Terraform.

• Experience in building and maintaining GitLab CI/CD pipelines.

• Knowledge of deploying applications on Cloud Run and GKE.

• Experience with structured JSON logging utilizing correlation_id.

• Familiarity with monitoring using Dynatrace and the csf-py-dynatrace-lib library.

• Experience with VPC Service Controls, Secret Manager, and Service Accounts, adhering to the principle of least privilege.

• Awareness of Brazil’s LGPD and BACEN regulations concerning AI usage in the financial sector.

• Preferred qualifications include experience with Agent Skills, Google Cloud certifications, N8N, Data Science using Vertex AI, and AI solutions on Google Cloud Platform.

• Must be available to work remotely under a full-time CLT employment contract.

🏝️ Benefits

• Multi-benefit card – choose how and where to use it.

• Educational scholarships for undergraduate, graduate, MBA, and language courses.

• Certification incentive programs.

• Flexible working hours.

• Competitive salaries.

• Annual performance review with a structured career development plan.

• International career opportunities.

• Wellhub and TotalPass.

• Private pension plan.

• Childcare assistance.

• Medical insurance.

• Dental insurance.

• Life insurance.