AI Engineering and Architecture Lead

🕒 September 4

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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GFT Technologies

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1987

💼 Consulting

🛡️ Insurance

🔒 Cybersecurity

Consulting • Insurance • Cybersecurity

GFT Technologies is a leading technology and digital transformation company that specializes in providing advanced solutions for consent management and data privacy compliance. Their flagship product, Cookiebot, enables businesses to automate user consent collection efficiently, ensuring adherence to complex privacy regulations such as GDPR and CCPA. GFT's solutions facilitate seamless integration into existing digital infrastructures, helping over 600,000 customers globally manage user data transparently and securely.

📋 Description

• Lead the development and architecture of Artificial Intelligence solutions. • Translate business needs into scalable and secure systems. • Design logical and physical architectures for cognitive, conversational, autonomous, and multi-agent systems using Google ADK and Vertex AI Agent Engine. • Develop agentic microservices, RAG strategies, and integrations with the bank’s core systems. • Structure deterministic workflows using ADK, in-memory state management, and logical routing. • Create architectural diagrams following the C4 Model (Levels 1 and 2). • Design and lead the development of connectors using the Model Context Protocol (MCP), integrating GitLab, Kanbanize, and Dataplex. • Ensure decoupling and high resilience through event-driven architectures using Google Cloud Pub/Sub. • Implement Human-in-the-Loop controls for mandatory validation of critical actions. • Ensure explainability, governance, and compliance with internal AI policies. • Define and manage evaluations and regression testing with DeepEvals, ensuring quality and accuracy before deployment. • Optimize AI inference costs through caching, prompt tuning, and efficient resource utilization. • Implement end-to-end monitoring with structured logs, Dynatrace, and integrated telemetry.

🎯 Requirements

• Solid experience with Python 3.13+, the uv package manager, and Google ADK (versions 2.4.x and 1.24.1). • Experience developing code-first solutions for generative AI. • Knowledge of Vertex AI (Agent Builder, Agent Engine, Reasoning Engine, Model Registry, and Model Monitoring). • Experience with Gemini Pro and Flash models. • Advanced knowledge of RAG, embeddings, chunking, metadata, and Vertex AI Vector Search. • Experience with Cloud Storage (GCS), Cloud SQL (PostgreSQL and MySQL), Firestore, and MongoDB Atlas. • Knowledge of environment provisioning through Terraform. • Experience building and maintaining GitLab CI/CD pipelines. • Knowledge of running applications on Cloud Run and GKE. • Experience with structured JSON logging using correlation_id. • Knowledge of monitoring with Dynatrace and the csf-py-dynatrace-lib library. • Experience with VPC Service Controls, Secret Manager, and Service Accounts, following the principle of least privilege. • Knowledge of Brazil’s LGPD and BACEN regulations as they apply to the use of AI in the financial sector. • Preferred: experience creating and publishing Agent Skills using agentskills.io and Google Cloud Skill Registry. • Preferred: Google Cloud certifications (Professional Cloud Architect, Data Engineer, or Machine Learning). • Preferred: experience with orchestration tools such as n8n. • Preferred: experience in Data Science using Vertex AI. • Preferred: advanced knowledge of AI solutions on Google Cloud Platform.

🏖️ Benefits

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