Chief AI Solutions Architect

2 semanas atrás

Porto Alegre, Rio Grande do Sul, Brasil beBeeArtificialintelligence Tempo inteiro R$90.000 - R$110.000
About Us

We are a global organization that drives innovation to create impactful customer experiences through cutting-edge technology and agile thinking.

Our diverse team spans multiple regions, offering end-to-end expertise across various service areas, including Digital Product Consulting, Data & AI, Strategy Consulting, Business Operations Modernization, Enterprise Applications, Cloud Engineering, and QA & Test Engineering.

Job Opportunity

We are seeking a talented Chief AI Solutions Architect to implement autonomous, intelligent, and analytical AI solutions that address complex business challenges.

Responsibilities
  • Provide first-line support and troubleshooting for GenAI applications, ensuring stability and quick resolution of technical issues.
  • Maintain and enhance existing GenAI products by identifying improvement opportunities and implementing optimizations.
  • Integrate Generative AI models with external APIs, tools, and databases using secure and efficient orchestration patterns.
  • Develop evaluation frameworks, metrics, and checkpoints for agent autonomy, performance, and safety.
  • Ensure robust AI agent operations by applying observability, monitoring, and MLOps best practices.
  • Collaborate closely with data experts to select, tune, and validate AI models.
  • Communicate complex AI concepts effectively to technical and non-technical stakeholders.
Requirements
  • Proven experience designing and deploying AI architectures with expertise in Generative AI, NLP, and software engineering.
  • Strong background in building software platforms capable of API integration and orchestration.
  • Strong understanding of the trade-offs between various generative AI models.
  • Hands-on experience with function-calling and tools integration into LLM models.
  • Expertise in data embeddings, vector databases, and chunking strategies.
  • Experience using CI/CD tools to streamline development and deployment workflows.
  • Hands-on experience deploying software on cloud platforms and utilizing AI tools.
  • Understanding of performance optimization techniques.
  • Practical knowledge of deploying AI solutions using cloud platforms.
  • Excellent skills in prompt and context engineering.
Bonus Points
  • Experience with Agentic AI orchestration frameworks.
  • Experience with advanced Agentic AI architecture and performance optimization of machine learning models.
  • Hands-on experience deploying AI solutions using containers and orchestration platforms.

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