AI Specialist Architect – Google Cloud Platform (GCP)
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Job Description
AI Architect leading the design of AI architecture and solutions using Google Cloud Platform for Rox Partner. Collaborating across teams to enhance AI capabilities and drive strategic innovation.
Responsibilities:
- Lead the definition of the enterprise Artificial Intelligence architecture, establishing standards, frameworks and best practices for AI, Generative AI and Machine Learning solutions on Google Cloud Platform (GCP).
- Design scalable architectures for applications based on Large Language Models (LLMs), Generative AI, RAG (Retrieval-Augmented Generation), intelligent agents (AI Agents) and multimodal systems.
- Define standards for development, integration, deployment, monitoring and governance of AI solutions, ensuring scalability, security, observability and high availability.
- Serve as the technical reference across business areas, Data Engineering, Data Science, Analytics, Software Engineering and Technology, translating business challenges into AI-based solutions.
- Design architectures for virtual assistants, copilots, semantic search engines, intelligent automation, document processing, recommendation, classification and summarization using Generative AI.
- Define integration strategies between AI models, data platforms, APIs, microservices, enterprise systems (ERP, CRM, SAP and legacy systems) and business applications.
- Lead the definition of architectures using Vertex AI, Gemini and other Google Cloud Platform AI services.
- Design AI pipelines using best practices in MLOps, LLMOps, DataOps, CI/CD and infrastructure as code.
- Define strategies for the evaluation, monitoring and continuous evolution of AI models, tracking metrics for quality, cost, performance, security and usage.
- Ensure adherence to corporate policies on security, privacy, data governance and Responsible AI.
- Support the evolution of the corporate AI platform by evaluating new technologies, frameworks and architectures aligned with market best practices.
- Conduct technical assessments (As-Is and To-Be), proposing scalable architectures to accelerate the adoption of Artificial Intelligence in the organization.
- Influence strategic decisions related to the evolution of the enterprise AI architecture, promoting innovation and driving business value.
Requirements:
- Solid experience as an AI Architect, Solutions Architect, Data Architect, Principal Data Engineer or Tech Lead in corporate Artificial Intelligence projects.
- Proven experience defining architectures using Google Cloud Platform (GCP).
- Mastery of the main GCP services applied to AI and Data, including Vertex AI, Gemini, BigQuery, Cloud Storage, Dataflow, Pub/Sub, Dataplex, BigLake, Cloud Composer (Apache Airflow), Cloud Run, Cloud Functions, Cloud SQL and Identity and Access Management (IAM).
- Experience building solutions based on Generative AI, Large Language Models (LLMs), intelligent agents and conversational systems.
- Strong knowledge of RAG (Retrieval-Augmented Generation), 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 for building intelligent applications.
- Experience with Machine Learning, MLOps, LLMOps and the full lifecycle of AI models.
- Experience with Python, SQL and API development for integrating AI solutions.
- Knowledge of event-driven architectures, microservices and integration between 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 Artificial Intelligence architectures.
Benefits:
- Remote work – Monday to Friday (09:00–18:00).
- iFood Benefits (Meal/Food Voucher) — BRL 704.00 per month, cumulative, to use as you wish. The amount is credited monthly to the iFood account and we also provide a physical Elo-branded card.
- Medical Plan — Unimed Apartment (optional).
- Life insurance.
- Birthday Day Off — On your birthday, Rox gifts you a voucher and a day off to enjoy this special date.
- Roxpert Blog — We encourage knowledge sharing. For every two approved and published articles on our blog, you earn one day off.
- Courses and Development — Shared access to Hotmart (Project Documentation), Alura, A Cloud Guru, O'Reilly (books and talks) and RoxSchool.
- Certifications — Reimbursement up to BRL 300.00 per certification (AWS, Azure, GCP, Databricks, Elastic, Cloudera, Oracle, Microsoft, MySQL, among others) and a BRL 300.00 bonus per certification obtained from these main platforms (subject to prior alignment with the manager).
- Psychological Support — Up to two psychotherapy sessions per month covered by Rox.
- Feedz — Gamified platform for tracking engagement, feedback, communication, recognition and development.
- Wellhub (formerly Gympass) — Access to gyms, studios and health and wellness apps.
- SESC Partnership — Access to services and activities offered by SESC, including options for leisure, culture, sports, education and tourism, subject to availability and institutional rules.
- Work Equipment — We provide all necessary equipment to perform your activities.



















