Specialist AI Architect – Google Cloud Platform (GCP)

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🔥 0 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Rox Partner

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Rox Partner is a Brazilian technology consultancy focused on transforming data into strategic assets and protecting organizations from cyber threats. The company offers data engineering, data management, analytics, machine learning/AI, data platform modernization, DataOps/MLOps and data literacy services alongside managed IT, SOC/managed security, pentesting and security consulting. Rox Partner serves enterprise clients across health, finance, retail, telecom, industry and other sectors, and holds certifications like ISO 27001 and partnerships with Google Cloud, AWS and Microsoft.

📋 Description

• 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

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