Data Architecture, Azure, Agents, Technical Governance

Job not on LinkedIn

🔥 4 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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🗣️🇧🇷🇵🇹 Portuguese Required

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Logo of GFT Technologies

GFT Technologies

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

• Technically lead a multidisciplinary squad responsible for building AI agents within an Azure-based corporate framework. • Define agent architecture, including orchestration, memory, tools, RAG with Azure AI Search, and integrations with corporate systems. • Establish engineering standards for prompts, automated evaluation, guardrails, CI/CD in Azure DevOps, and infrastructure as code. • Conduct architecture and code reviews, ensuring quality, security, traceability, and compliance. • Define integration strategies for legacy systems, including mainframe environments, taking validation, rollback, and auditing into account. • Govern the use of Azure OpenAI, monitoring models, costs, performance, observability, and scalability. • Structure and evolve the agents’ knowledge strategy using document repositories, vectorization, and content curation. • Mentor professionals across AI, Data, and Development disciplines. • Serve as a technical reference for the client’s Architecture, Security, and Operations teams.

🎯 Requirements

• 6–8 years of experience in Software Engineering, Data, or AI, with recent experience as a Tech Lead or technical subject-matter expert. • Strong experience with Python for agent development, automation, and integrations. • Hands-on experience with Generative AI in production using Azure OpenAI, prompt engineering, function calling, and agent orchestration frameworks such as LangGraph, Semantic Kernel, AutoGen, or similar. • Experience with enterprise RAG, embeddings, vector/hybrid search, Azure AI Search, and knowledge curation. • Advanced knowledge of Azure, including Azure OpenAI, Azure AI Search, Azure DevOps, Entra ID, Key Vault, and Azure Monitor. • Knowledge of agent evaluation and guardrails, quality metrics, security, and action controls. • Experience with REST APIs and integration with corporate and legacy systems. • Track record of technical leadership, mentoring, code reviews, and architectural decision-making. • Strong communication skills for collaboration with technical and business teams. • Azure certifications (AI-102 and/or AZ-305) are a plus. • Experience in regulated financial-sector environments (LGPD, BACEN, SOX) and AI governance is a plus. • Experience integrating with mainframe environments, including JCL and job monitoring, is a plus. • Experience with Dynatrace and application observability is a plus. • Experience with GitHub Copilot, Claude Code, Cursor, and MCP is a plus. • Advanced English proficiency is a plus.

🏖️ Benefits

• Multi-benefit card – choose how and where to use it. • Education grants 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. • A safe work environment focused on diversity, equality, and inclusion. • A development and growth culture based on Continuous Scaled Learning.

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