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AI Architect
Soluções SophiaAI Architect leading AI strategy within products at Sophia Solutions. Involves architecture, communication, and technical leadership responsibilities.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in defining technical architecture for AI integration, with a strong focus on MLOps best practices and compliance with security and privacy standards. Proficient in translating business needs into scalable technical solutions while effectively communicating with both technical and non-technical stakeholders.
Highest-signal resume keywords
C# ProficiencyAI Solution ImplementationMLOps Best PracticesCloud Computing (Azure, AWS, GCP)LLM Architectures
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
C#.NETAI SolutionsMLOpsLLM ArchitecturesRAGAI AgentsSystems DevelopmentTechnical ArchitectureScalability
Soft Skills
CommunicationStrategic ThinkingCollaborationPresentation Skills
Tools & Technologies
AzureAWSGCP
Industry Keywords
SecurityPrivacyComplianceLGPD
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud Platform.NET
About the role
Key responsibilities & impact- Define the technical architecture for incorporating AI (LLMs, RAG, agents) into the company’s products
- Act as the technical and strategic AI point of reference, supporting other departments in identifying application opportunities
- Evaluate and recommend AI and cloud tools, platforms, and providers suitable for each use case
- Integrate AI solutions with existing systems, developed primarily in C#/.NET
- Ensure MLOps best practices, monitoring, and governance of models in production
- Safeguard security, privacy and compliance (LGPD) in implemented solutions
- Translate business needs into viable technical solutions, prioritizing impact and scalability
Requirements
What you’ll need- Mandatory: reside in the state of São Paulo (SP), preferably in São José dos Campos or nearby
- Completed degree in Information Technology or a related field
- Strong experience in systems development, with proficiency in C# and .NET
- Practical experience implementing AI solutions in production (not only in proof-of-concept)
- Knowledge of LLM architectures, RAG and/or AI agents
- Experience with cloud computing (Azure, AWS, or GCP)
- Ability to communicate with non-technical areas and present technical decisions to leadership
Benefits
Comp & perks- Home-office allowance
- Health insurance
- Dental insurance
- Childcare assistance
- Life insurance
- Meal allowance
- Total Pass
- Mediquo Telemedicine
- Profit sharing (PLR)
- Birthday day off
- Internal recognition programs