Data Architecture, Azure, Agents, Technical Governance

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

📋 Description

• Provide technical leadership to a diverse team tasked with developing AI agents within a corporate framework based on Azure.

• Specify agent architecture, incorporating orchestration, memory, tools, RAG with Azure AI Search, and integrations with corporate systems.

• Set engineering standards for prompts, automated evaluations, guardrails, CI/CD within Azure DevOps, and infrastructure as code.

• Perform architecture and code reviews to ensure quality, security, traceability, and compliance.

• Develop integration strategies for legacy systems, including mainframe environments, while considering validation, rollback, and auditing processes.

• Oversee the utilization of Azure OpenAI, monitoring models, costs, performance, observability, and scalability.

• Organize and advance the agents’ knowledge strategy through document repositories, vectorization, and content curation.

• Mentor professionals across the disciplines of AI, Data, and Development.

• Act 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, including recent roles as a Tech Lead or technical subject-matter expert.

• Extensive experience with Python for developing agents, automation, and integrations.

• Practical 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.

• Familiarity with enterprise RAG, embeddings, vector/hybrid search, Azure AI Search, and knowledge curation.

• Advanced understanding 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.

• Proven track record of technical leadership, mentoring, conducting code reviews, and making architectural decisions.

• Excellent communication skills for effective collaboration with technical and business teams.

• Azure certifications (AI-102 and/or AZ-305) are advantageous.

• 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 an advantage.

• Familiarity with Dynatrace and application observability is a plus.

• Experience with GitHub Copilot, Claude Code, Cursor, and MCP is a plus.

• Advanced proficiency in English 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.