GenAI Architect (GCP Focus) (Hybrid-Sao Paulo)

Braintrust; São Paulo; Híbrido; USD 60.000 - 90.000; Tempo integral

Resumo da oferta

A leading company is seeking a GenAI Architect (GCP Focus) to develop innovative AI solutions on Google Cloud Platform. The ideal candidate will demonstrate expertise in generative AI models and experience with tools like Vertex AI and LangChain. This mid-senior level role involves designing AI architectures, model selection, and team leadership, offering an exciting opportunity to drive AI advancements within the organization.

Qualificações

• Strong understanding of generative AI models.
• Hands-on experience with OpenAI models and Vertex AI.
• Proficiency with GCP AI/ML services.

Responsabilidades

• Design and develop scalable AI architectures on GCP.
• Evaluate and fine-tune AI models to meet business needs.
• Mentor team members on AI best practices.

Conhecimentos

Generative AI models

Python

Problem-solving

Analytical skills

Communication

Collaboration

Descrição da oferta de emprego

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Job Description

We are seeking a highly skilled and innovative GenAI Architect to lead the development and

Job Description

We are seeking a highly skilled and innovative GenAI Architect to lead the development and

implementation of cutting-edge AI solutions on Google Cloud Platform. This role requires a deep

understanding of generative AI models, machine learning, and GCP-native technologies. The ideal

candidate will have hands-on experience with OpenAI models, LangChain, and Vertex AI, as well as a strong foundation in observability tools like LangFuse, LangSmith and AI security practices.

Responsibilities:

Architecture Design: Design and develop robust and scalable AI architectures that leverage the power of generative AI models on GCP.

Model Selection and Fine-tuning: Evaluate and select appropriate AI models (e.g., PaLM 2, Gemini via Vertex AI), and fine-tune them using GCP-native tools to meet specific business requirements.

Prompt Engineering: Develop effective prompting strategies to elicit desired outputs from AI models, using Vertex AI's prompt tuning and APIs.

Integration with Cloud Platforms: Integrate AI solutions with GCP services such as Vertex AI, BigQuery, Cloud Functions, and Cloud Run, optimizing for performance and cost-efficiency.

Observability and Monitoring: Implement robust monitoring using Cloud Logging, Cloud Monitoring, and tools like LangFuse to track model performance and identify potential issues.

Data Engineering: Collaborate with data engineers leveraging BigQuery, Dataflow, and Pub/Sub to

ensure the availability of high-quality data for training and inference.

Team Leadership: Mentor and guide team members in the adoption of AI best practices and GCP

services.

Stay Updated: Stay abreast of the latest advancements in AI and machine learning, especially those within the GCP ecosystem, and explore innovative applications for the organization.

Required Skills and Experience:

Strong understanding of generative AI models, including large language models, text-to-image models, and more.

Hands-on experience with OpenAI models, LangChain, and Vertex AI / GCP GenAI Studio.

Proficiency in Python programming language.

Experience with GCP and its AI/ML services (e.g., Vertex AI, BigQuery ML, AutoML, Dataflow).

Knowledge of data engineering concepts and tools in the GCP ecosystem.

Strong problem-solving and analytical skills.

Excellent communication and collaboration skills.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Design, Art/Creative, and Information Technology

• Industries

  Technology, Information and Internet

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