AI Solutions Architect
Verity Group
full-time
Posted on:
Location Type: Remote
Location: Brazil
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About the role
- Architecture & AI Solutions Consulting: Designing complex systems, Agent-to-Agent (A2A) ecosystems, and evaluating technical trade-offs.
- Definition of Technical Standards and Governance: Blueprints and Golden Paths, security, and compliance.
- FinOps & Operational Efficiency: Cost engineering and data strategy for AI.
Requirements
- Hybrid AI Expertise: Deep theoretical and practical knowledge in both traditional machine learning (Scikit-learn, forecasting, classification) and generative AI (Transformers, LLMs, diffusion models).
- Cloud Architecture Proficiency (preferably GCP): Proven ability to design enterprise solutions using Google Cloud components (Vertex AI, BigQuery, Dataflow, Cloud Run).
- Solutions Architecture: Strong understanding of architectural styles (microservices, REST, monoliths, DDD, etc.) and architectural patterns; excellent communication, presentation, negotiation, and analytical skills.
- Software Architecture: Solid experience with architectural patterns (CQRS, RESTful, EDA, etc.) and API design.
- Agentic Frameworks: Experience designing state flows and orchestration using tools like Google ADK, LangGraph, CrewAI, or native cloud orchestrators.
Benefits
- Meal voucher
- Food allowance
- Home office allowance
- Health insurance
- Dental insurance
- Life insurance
- Discount partnerships
- Partnerships with businesses and educational institutions
- Recurring agile training
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learninggenerative AIScikit-learnTransformersLLMsdiffusion modelscloud architectureAPI designarchitectural patternscost engineering
Soft Skills
communicationpresentationnegotiationanalytical skills