Specialist AI Architect – Google Cloud Platform (GCP)

Sobre el puesto

## Responsibilities • Lead the definition of the enterprise Artificial Intelligence architecture • Establish standards, frameworks, and best practices for AI, Generative AI, and Machine Learning solutions on GCP • Design scalable architectures for LLMs, Generative AI, RAG, intelligent agents, and multimodal systems • Define development, integration, deployment, monitoring, and governance standards for AI solutions • Serve as a technical reference across business, Data Engineering, Data Science, Analytics, Software Engineering, and Technology teams • Design virtual assistants, copilots, semantic search, intelligent automation, document processing, recommendation, classification, and summarization solutions • Define integration strategies between AI models, data platforms, APIs, microservices, ERP, CRM, SAP, legacy systems, and business applications • Lead architectures using Vertex AI, Gemini, and GCP AI services • Design AI pipelines using MLOps, LLMOps, DataOps, CI/CD, and infrastructure as code • Define strategies for the evaluation, monitoring, and continuous evolution of AI models • Ensure security, privacy, data governance, and Responsible AI • Support the evolution of the enterprise AI platform and evaluate new technologies • Conduct As-Is and To-Be technical assessments • Influence strategic decisions regarding the enterprise AI architecture ## Requirements • Extensive experience as an AI Architect, Solutions Architect, Data Architect, Principal Data Engineer, or Tech Lead on enterprise Artificial Intelligence projects • Proven experience defining architectures using Google Cloud Platform (GCP) • Strong knowledge of Vertex AI, Gemini, BigQuery, Cloud Storage, Dataflow, Pub/Sub, Dataplex, BigLake, Cloud Composer (Apache Airflow), Cloud Run, Cloud Functions, Cloud SQL, and IAM • Experience with Generative AI, LLMs, intelligent agents, and conversational systems • Knowledge of RAG, Prompt Engineering, Function Calling, Tool Use, embeddings, vector databases, and agentic AI architectures • Experience with Vertex AI Agent Builder, Vertex AI Search, or equivalent solutions • Experience with Machine Learning, MLOps, LLMOps, and the complete AI model lifecycle • Experience with Python, SQL, and API development • Knowledge of event-driven architectures, microservices, and integration across enterprise systems • Knowledge of data governance, information security, observability, Data Quality, and Data Lineage • Experience with Git, CI/CD, DevSecOps, and software engineering best practices • Ability to lead technical discussions and translate business challenges into modern AI architectures • Google Cloud Professional Cloud Architect, Professional Data Engineer, and/or Professional Machine Learning Engineer certifications are a plus • Experience with LangChain, LangGraph, CrewAI, LlamaIndex, AutoGen, Semantic Kernel, or similar frameworks is a plus • Knowledge of vector databases such as Vertex AI Vector Search, Pinecone, Weaviate, Milvus, FAISS, or PGVector is a plus • Knowledge of TOGAF is a plus ## Benefits • iFood Benefits (meal and food allowance) — BRL 704.00 per month, cumulative • Health Insurance — Unimed Apartment plan (optional) • Life Insurance • Birthday Day Off with a gift card • Day off for every two articles approved and published on the Roxpert Blog • Access to Hotmart, Alura, A Cloud Guru, O’Reilly, and RoxSchool platforms • Reimbursement of up to BRL 300.00 per certification • BRL 300.00 bonus for each certification earned, subject to prior alignment with the manager • Psychological Support Allowance — up to two psychotherapy sessions per month • Feedz — engagement, feedback, communication, recognition, and development platform • Wellhub — access to gyms, studios, and health and wellness apps • SESC partnership • Work Equipment — all necessary equipment provided

Publicada el 7 nov 2026