Generative AI Solutions Architect

Hitss Brasil

. Design and implement the architecture for FinOps conversational artificial intelligence solutions .

Posted 11/12/2026full-timeRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing FinOps conversational AI solutions, with a strong focus on prompt engineering, semantic search, and integration with corporate databases and tools. Proficient in governance, security, and monitoring of AI systems to ensure response quality and accuracy.

Highest-signal resume keywords

Conversational AI Architecture DesignPrompt EngineeringIntegration With Corporate DatabasesGovernance And Security For AI SolutionsExperience With Microsoft Copilot Studio

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Generative AI DevelopmentSemantic Search TechniquesData VectorizationEmbeddings KnowledgeHallucination Mitigation TechniquesResponse Quality MonitoringInformation RetrievalResponse ContextualizationRetrieval-Augmented GenerationAI Solution Integration

Tools & Technologies

Microsoft Copilot StudioAzure AI FoundryPower BIPower Automate

Certifications & Qualifications

Bachelor's Degree In Information TechnologyPostgraduate Degree In Information TechnologyAI-102 – Azure AI Engineer Associate Certification

Industry Keywords

Artificial Intelligence EngineeringFinOpsLarge Language ModelsAI GovernanceAI Monitoring

Tech Stack

Tools & technologies

Azure

About the role

Key responsibilities & impact

Design and implement the architecture for FinOps conversational artificial intelligence solutions
Develop and configure virtual assistants using generative AI platforms
Integrate the solution with corporate databases provided by the Data Engineering team
Implement information retrieval, semantic search, and response contextualization mechanisms
Develop prompt engineering strategies to improve response quality and accuracy
Implement governance, validation, and hallucination mitigation mechanisms for language models
Define, document, and monitor response quality, reliability, and accuracy criteria
Integrate the solution with corporate tools such as Power BI and Power Automate
Implement security controls, monitoring, and observability for the artificial intelligence solution

Requirements

What you’ll need

Bachelor's degree in Information Technology or a related field, plus a postgraduate degree in IT
Completed postgraduate degree in Information Technology
Experience with Microsoft Copilot Studio
Knowledge of Azure AI Foundry or equivalent platforms for developing and managing Large Language Models (LLMs)
Knowledge of Retrieval-Augmented Generation (RAG) and semantic search techniques
Knowledge of data vectorization and embeddings
Experience with Prompt Engineering
Knowledge of techniques for evaluating, validating, and mitigating hallucinations in language models
Knowledge of integrating AI solutions with databases and corporate tools
Knowledge of governance, security, and monitoring for artificial intelligence solutions
Courses or certifications in Artificial Intelligence Engineering
AI-102 – Azure AI Engineer Associate certification will be considered an asset

Benefits

Comp & perks

The company focuses on innovation and the development of inclusive, responsible, and sustainable solutions
Equal career opportunities through its diversity and inclusion pillar
Open to professionals with disabilities and supports gender and racial/ethnic equity